Key Role and Areas of Big Data in Ecommerce in Industry

What is big data? How is it deriving a crucial part in the ecommerce sector? Anticipating and identifying customer requirements is crucial to fetch specific business goals. An automated system synced with big data technologies proves helpful in evaluating target audiences and their demands. Therefore, it is imperative to sneak through the developing dynamics and importance of big data and its insights.

Importance of Big data

What is big data technology? In layman language, it amalgamates voluminous data into small phases that help surge the revenue and acquire access to the crucial data. This is probably a major reason why there has been the inclusion of big data through most companies and organizations.

A prominent role of big data surfaces in unleashing hidden market patterns, preferences, and methods. With the use of big data and analytics, business enthusiasts can avail valuable data for making crucial business decisions.

Role of Big Data in Ecommerce Industry

Several analytical capabilities related to big data positively affect most sectors and the e-commerce industry. Several online business owners utilize analytical tools to enhance business performance and better insight into products and services.

Big data also aids ecommerce businesses to access huge data volumes to enhance revenue. Several entities use Big Data to get acquainted with customer preferences and develop patterns to surge overall sales. This, in turn, is bound to propel the overall market growth tremendously.

Types of Big Data Analytics

There are many types of big data analytics in e-commerce sector that provide opportunities for the application of big data. Programmatic advertising is one such type that optimizes huge data set to reach their targeted audiences.

Even social media is not left untouched by the impact and revamp the process of this trend. There has been a significant influence on multiple social media platforms like Twitter and Facebook that showcases a wide range of products to enhance visibility to the larger chunk of people.

There has been a rapid change in customer behavior due to customized market choices, and Big data is highly responsible for changing behavioral patterns. It results in better customer interaction for coupon offers, discounts, and promotional campaigns. E-retailers are seeking advantage of big data by recommending relative products to the customers, thereby increasing satisfaction levels amongst them.

Uses of Big Data in 2022

  • Tailored Stores- Scrolling through the search history of the past customers enables them to suggest them relevant products that lead to a personalized shopping experience. This also facilitates a higher level of conversion rate backed by more cross-selling opportunities.
  • Better Marketing Prospects- Big data technologies are also becoming more sophisticated with time passing by. Now merchants can send personalized emails to customers of various segments and only share discounted rates as a lucrative offer. This sort of data collection is also leading to segmenting of data.
  • Enhanced Automation- It saves expenses on human resources and helps in performing tasks with better precision, thus leading to enhanced customer experience. A valid example of this is using chatbots to interact with customers and solve most of their common queries.
  • Anticipating Business Changes- Modern-day analytic tools can now forecast sales, suggest pricing trends, and make all relevant forecasts in detail. Intelligent and automated machine learning can now make better presumptions than ever.
  • Global exposure- The use of big data is prevalent in the currency translation and narrowing down of multiple local payment alternatives. They can now dig the global markets and check out the precise transit cost in the process.
  • A better grasp of privacy laws- Governments worldwide specifies distinct laws on privacy and security of customer data. Big data can give you a collective analysis of these laws and augment the marketing capabilities to comply with the latest norms. This can indeed save organizations from getting into legal jeopardies.

Winding Up

Speculation says that the big data industry has a probability of growing to $6.2 billion in 2025. Big data and analytics are coming up with valuable data and crucial insights related to business operations and their functioning.

Identifying customer preferences and setting goals as per the market analysis is the need of the hour. Generating more traffic for the website is also possible by accumulating data related to payment, inventory, sales, and delivery data. All this results in effective operations of e-commerce businesses. It would be interesting to trace the growing marks of big data in the ecommerce industry and relevant emphasis on overall market growth. 

5 Best Books for Software Developer- Programming Secrets Decoded!

Inclination to books is proof that the person holds a rare intellect. A good book well-defines the nature and intelligence of a person. Today we would discuss the top books for software developer that can enable them to analyse and understand the intricacies of coding. Let’s sneak out on the best software engineering books that could aid in curbing your apprehension on coding and programming.

A thorough software developer must gulp down the top books for programmers as it deeply roots the semantics and syntax of the programming language. Leaning on some good books for programmers also helps think like a problem solver and mastering advanced languages like C++, Python and Java to be an ace programmer.

Top 5 Must-Read Programming Books

  1. Clean Code- Robert C. Martin

It is amongst the top software design books that comprehend classic patterns and tactics of framing clean codes. Most newbies are bound to create mistakes while coding development, and it is crucial to analyse a host of factors for creating a professional code. This is amongst the top coding books that enable solving problems, is quite readable, and helps in quick debugging.

It focuses on:

  • Naming the variable
  • Writing right methodologies
  • Code structuring
  • Creating a code smell
  • Identifying the better approach to coding

2. The Mythical Man-Month- Frederick Brooks

Many veteran software developers consider this book as a Bible for them. It discusses the conceptual interpretation of software development, project management and apt estimation. The book’s primary theme is based on ‘Brooks’ Law that states, “adding manpower to a late software project make it later”.

It focuses on:

  • Measuring the useful work for the man-months is often a myth.
  • Accidents and the real essence of the software engineering
  • While working on a specific system, remember to not over-engineer it.
  • Repeated attempt on fixing errors leads to newer ones.

3. The Pragmatic Programmer- David Thomas and Andrew Hunt

Begin the Journey to Mastery with these top programming books that discuss software engineering. One feature of this book discusses the pragmatic way to improvise the programming process instead of the theoretical ones. With insight into this book, you can be an early adopter, critical thinker, and foster realism in various aspects of life. It discusses the analogies and caveats through short stories and the broken windows theory.

It focuses on:

  • Recent development methodologies and processes comprise analogies like the story of a boiling frog or the stone soup.
  • Several concepts got popular with this book, like the code katas.
  • Use of further techniques to preserve and prepare adjustable codes.
  • Recommendations on creating adjustable codes.
  • Estimations on time and expenses for coding.
  • Introduction to several work methodologies that you might not have considered earlier.

4. Code Complete (Edition 2)- Steve McConnell

Many polished software engineers refer to such coding books that render a practical guide on programming for the developers. It enables them in software development and is a wonderful blend of classic coding concepts that gives an edge to the readers. An in-depth understanding of these concepts helps in suitable software construction.

It focuses on:

  • Software creation that includes themes, style, layout, character, and self-documentation.
  • Integration, debugging, coding and software development testing.
  • Detailed analysis on other software development aspects like the documentation.
  • Gimmicks on creating high-quality code that has improvisation possibility backed by system consideration.

5. The Art of Computer Programming- Professor Donald Knuth

Last but not the least, this is another amongst the best programming books for beginners developed by the popular computer scientist Donald Knuth. Many top programmers and software engineers praised and applauded this book for its mathematical accuracy and impeccable humour persistent in the chapters.

It also gives a thorough glance at the famous series, ‘art of computer programming, highlighting prominent contributions to algorithm analysis. Knuth also availed a Turing Award in 1974 for its excellence. With this book, you can get a complete idea of advanced techniques and concepts and get a glimpse of the programming algorithm.

It focuses on:

  • Tactics to handle structural relationships and manage other data elements effectively.
  • Effective problem-solving remedies with the fundamental concepts and improvised algorithms.
  • Understanding of other combinations and other semi-numerical algorithms.
  • Optimum sorting and minimum-comparison sorting.

Wrapping Up

Hopefully, the above list of best books for software developer can result in a proactive impact on your coding career. It is worth investing time in the above coding books to procure a significant amount of knowledge and information. Check out the above recommendations and refer to the list of impeccable best programming books slated above. It would be really fun to analyse and get acquainted with the basics of coding through this phenomenal collection.

5 Greatest Software/Tech CEOs Who Make India Proud

India is known all across the globe for its rich culture and heritage. However, these days India is also quite popular for giving the world some of the best software and tech CEOs that they have seen in a very long time.

These people have Indian origins and are doing their job better than many others. They have maintained the decorum of their organizations, have innovated their companies, given the company a better escalation in terms of its profits, proficiency, and profoundness.

These Indians are making their presence count all across the globe! And it’s time that you should also be familiar with who they are, what they do, and how they are making a difference in the world. And we’ll help you with that by taking you through the five greeted software and tech CEOs who are making India proud. This list is given below.

One of the most successful CEOs of the biggest tech company ever is Sundar Pichai. He is an Indian-born genius who has family roots in Tamil Nadu. Sundar Pichai completed his graduation in the field of chemical engineering from IIT Kharagpur. He later went abroad to pursue his higher studies.

Sundar Pichai joined Google at a young age and worked his way up to become the CEO of Google. Sundar Pichai often visits India during the Google Products launch. Over the years, the company has flourished a lot in India and all across the globe since Sundar Pichai took the lead.

Microsoft is known all across the globe as one of the biggest software manufacturing companies in the world. This organization has its reach in almost every household in India. And Satya Nadella is the CEO of Microsoft who has played a big part in achieving that goal.

Satya Nadella finished his bachelor’s degree in Electronics and Communications Engineering. He pursued this degree from the Manipal Institute of Technology. He also holds a degree in MBA. Satya Nadella has been the CEO of Microsoft since 2014 and holds a lot of influence in the tech sector of the world.

Motorola mobiles exploded all across the globe during the early 2000s. These devices were extremely popular at that time. The company did lose its luster and the product craze over time. The main reason behind that was the popularization of smartphones. However, the company has now caught up with the pace and is one of the biggest manufacturers of smartphones in India.

A big part of that credit goes to Sanjay Kumar who is a Ph.D. holder in electronics. Sanjay Kumar comes from a very humble background in the Indian state of Bihar. He is widely known for his knowledge of semiconductors. He is popularly known for being the CEO at Motorola Mobiles and the Chief Operating Officer at Qualcomm.

Whether you are a photographer, editor, graphic designer, animator, filmmaker, or just someone who loves taking photographs, there are no chances that you wouldn’t have heard of or used Adobe. Adobe is one of the largest software companies in the world. And Adobe’s CEO is also an Indian.

Shantanu Narayen is a global personality who got into Adobe’s chief operating position in 2005. He comes from Hyderabad and has pursued his graduation in Electronics and Communication from Osmania University.

Shantanu Narayen is also the recipient of the Padma Shri Awards in 2019, which is the highest civilian honor in India. Under his leadership, Adobe has become one of the fortune 500 companies recently.

If you ask any millennial about the type or company of mobile phone that they would prefer, you are very likely to hear the company Nokia from them. Nokia is a brand that holds a special place in all our hearts. And currently, the company is run by Rajeev Suri.

Rajeev Suri joined the company in 2015 and turned it towards producing some of the best quality smartphones in India. Rajeev Suri completed his bachelor’s degree from Manipal Institute of Technology in Electronics and Communication.

Rajeev Suri has played a big role in pulling the company together and giving it a new direction. This has allowed the organization to enjoy the success that it currently holds in the market.

Importance of Sales Analytics Software To Grow Your Industry

What is Sales Analytics?

Sales involve decisions based on limited information. Sales analytics helps in the discovery of insights and increasingly helps sales managers for taking the best decisions. Sales reports are a vital part of this process, and sales analytics have become a major portion of each sales report. Sales analytics allow firms to break down sales into manageable pieces and examine exactly what is working and what needs to improve.

Sales analytics helps sales managers understand where salespeople may improve by discovering, modelling, interpreting, and predicting sales trends and outcomes. As part of an analytic or planning activity, sales analytic systems provide a capability that enables discovery, diagnostic, and prediction exercises by allowing manipulation of parameters, measures, dimensions, or figures.

The use of sales analytics software is quickly increasing in the commercial world. We’ve outlined a few of the main reasons why the software should be a vital part of every sales director’s report below. So, in this sales analytics blog, we will talk about sales analytics software and the importance of analytics software.

What are the different types of Sales Analytics?

Predictive: Since these insights are automated, your sales forecasting may provide you with a precise view of the future. It’s almost as if you had a crystal ball. Predictive sales pipeline research is extremely beneficial for businesses of all sizes, from small startups to Fortune 500 corporations and everyone in between.

Prescriptive: Prescriptive analytics allows you to understand more about your clients by using predictive data. This will show you which deals are worth pursuing and which should be avoided. Also, if your sales staff decides to pursue a deal, they’ll be prepared with a good approach to take the lead or customer more open to the sale.

Diagnostic: You can use diagnostic analytics to examine current and historical sales data from your organization to better understand emerging challenges. Perhaps your new product didn’t sell as well as expected because it was released just before the pandemic? This study might assist you in coming up with new approaches to reach out to customers.

Market Research: In market research, members of your sales team interview leads and customers to learn more about their perceptions and attitudes toward your products. Depending on your business, you can do this in person or through online questionnaires.

sales analytics

Importance of sales analytics software

Increased Visibility: Sales reps can better prioritise leads using predictive/prescriptive lead scoring methodologies. With advanced analytics, sales rep income can be improved, allowing the organisation to focus on successful sales reps. Sales attribution models enable the company to allocate resources between sales and marketing in the most efficient way possible.

Reduction in sales support activities: According to the bulk of research on the subject, sales reps spend more time on non-sales activities. Making sales forecasts, classifying leads, and selecting how to approach leads are all tasks that can be automated with sales analytics software.

 Automatic Updates: With an automated update option, sales analytics software will always be relevant and up to date. This gives you additional time and allows you to report even closer to the deadline, providing you with a more realistic picture of the business at the time. Businesses frequently waste time preparing for a report days in advance, only to arrive at the meeting with an out-of-date report.

Sales Team Transparency: Sales data provides complete transparency and assists in the development of your sales staff. You can implement any necessary mitigating strategies, such as cross-sell campaigns or end-of-life promotions, after you have the facts. You have a complete picture of each agent’s progression, including their priorities, strengths, weaknesses, and problems. This will have a direct impact on sales because it allows you to adjust factors afterwards to improve efficiency.


Now that you understand the value of sales analysis for your company, it’s time to put it into action. On the one hand, you get to know the best performing sales agents, segment hot leads, and identify the campaigns that bring in large numbers of customers using a sales analysis tool. on the other side, you can eliminate cold leads, and alter or improve unsuccessful products or campaigns.

What is Cloud Computing? Everything You Need to Know About the Cloud Explained.

Cloud computing refers to anything that involves providing hosted services through the Internet. A private cloud or a public cloud can be used. A public cloud allows anybody with access to the Internet to purchase services. A private cloud is a closed network or data centre that offers hosted services to a small group of people that have access and rights that are limited. Cloud computing, whether private or public, is designed to provide quick and scalable access to computer resources and IT services.

What is cloud computing?

The deployment of services and resources over the Internet as a medium is known as cloud computing. You’re doing everyday computing when you need to execute programmes, read files, or store data with hardware or components connected to a primary computer. Cloud computing allows a single computer to access the shared resources and databases of other computers on the same network. Basically, everything is done in the cloud or via the internet. You can use a cloud service provider to access all IT resources on a need-to basis rather than purchasing, to own, and maintaining physical servers and data centres.

The operating costs will be reduced, and IT infrastructure will be more efficient, and you can scale your business as needed. You can access all of your data and systems on the cloud via an internet connection if you use cloud computing. You can use a cloud service provider to access all IT resources on a need-to basis rather than purchasing, owning, and maintaining physical servers and data centres. With this, the operating costs will be reduced, your IT infrastructure will be more efficient, and you can scale your business as needed. You can access all of your data and systems on the cloud via an internet connection if you use cloud computing.

How does cloud computing works?

The cloud system is divided into two, front end and back end. You can see the front end as a user, while the rear end is where the cloud part is located. The front end comprises all the devices and networks that are utilized to connect to the cloud system. Examples are Laptops, Mobiles, and other electronic devices. The user can then access the cloud technology system’s back end, consisting of servers, data storage systems, and numerous computers. To access data on the cloud, users must have authorization. The traffic and user requests are managed by a central server, which ensures that everything operates well.

Rather than owning their computer systems or data centres, businesses can rent anything from applications to storage from a cloud service provider. Paying simply for what companies need, when they need it, allows them to avoid the upfront costs and problems associated with the building and maintaining of their own IT infrastructure.

Benefits of cloud computing

If there were no benefits to adopting these services, cloud computing would not be so popular. The majority of the primary benefits of cloud computing are mentioned in the below list.

  • Cost-Effective: Cloud computing results in saving a lot of money for companies. Before cloud computing and other ” as a service ” options became available, companies had to buy, build, and maintain their own IT management technologies and digital infrastructure before cloud computing and other “as a service” options became available. They had to either build their servers and computing centres or rent space in local IT computing centres built by other businesses. Naturally, this leads to large bills, both for the initial cost of installation and for the expense of physically maintaining the infrastructure and the cost of paying staff for security, maintenance, management, etc.
  • High Security: Cloud computing provides good security in a variety of ways. Because software is hosted on a centralized server network rather than on-site, big firms’ security is often a little better than it would be otherwise. Because dedicated IT security teams can manage security, software fixes can be rolled out more effectively and consistently. Furthermore, because no physical servers can be breached or attacked, the company information is less vulnerable to physical theft or tampering.
  • Easy backup: Companies and individuals can benefit from easy file or data backups thanks to cloud computing. Having a physical backup of your favourite images or your company’s employee information is one thing. It’s quite another to have both a physical and a digital backup kept somewhere else in the world, far away from your company’s physical data centres or corporate offices. Users can ironically make their data safer by storing their files and data away from home. Physically stealing or misplacing the data becomes considerably more difficult or impossible.
  • Easy file access: Because the cloud network is maintained over the Internet, it is trivially straightforward to access files anywhere in the world. This function can be beneficial to both organisations and individuals because it allows users to recover files without the need for a physical data storage device. Ordinary people, for example, can save private images or other documents in safe cloud locations and retrieve them whenever they choose. This reduces the chances of their misplacing important photos or financial information and being unable to locate it afterwards. Easy and universal file access can help businesses.
cloud based technology

Types of cloud services

  • Software-as-a-service (SaaS): It’s one of the most widely used cloud computing services among enterprises. It uses a web browser to offer programmes to users via the Internet. SaaS includes web-based email services such as Yahoo! Mail, Outlook, and Hotmail. SaaS replaces traditional enterprise systems such as ERP, accounting, human resources management, CMS, supply chain and inventory management, and CRM software.
  • Infrastructure-as-a-service (IaaS): It’s the most basic form of cloud computing. You can avoid the costs of putting up a physical data centre by using an IaaS service. The infrastructure is managed by a cloud computing service provider, which means they keep an eye on the servers and storage and the network security and firewalls. Essential building blocks, database storage, and a virtual platform are all provided by the IaaS layer.
  • Platform-as-a-service (PaaS): A PaaS service combines IaaS and other services such as database management systems, development tools, middleware, and business intelligence. You can manage the apps and services you create, but the cloud service provider handles everything else.


Finally, cloud computing is the way of the future since it offers so many excellent benefits to both individuals and businesses. Though there are some learning curves to overcome and security concerns to address, cloud computing is clearly designed to revolutionize digital commerce and the world at large.

Comparison between PHP and Python

Software development companies in Chandigarh are increasingly turning to Python as an excellent tool to create algorithms for a wide variety of domains. Python is also popular for developers creating standalone programs. However, alongside die-hard Python developers in Chandigarh are software creators who are still mulling whether PHP or Python is for them.

If you fall in the latter category, you’re doing the right thing by going through software blogs to get your answer. In this software blog post we will differentiate between PHP and Python and discuss the value of Python for software development companies in Chandigarh.

Difference between PHP and Python

  • PHP and Python have very distinct DNAs

Where Python is an object-focussed programming language, PHP is a server-focussed scripting language.

  • Purpose

As discussed in our introduction, Python is utilized in algorithm scripting and in creating standalone programs. In other words, it is versatile and can be put to use in a variety of use-cases.

Python is used heavily in artificial intelligence and in automation.

PHP is used to script HTML content including flash animations, graphics and XML files. Its use, therefore, is restricted to web development.

So if you needed to create a billing software, for example, you would need to turn to Python.

  • Ease of use

Both Python and PHP are popular options because of their ease of use.

That said, the syntax of Python is extremely easy to remember because it is very close to human language. Meanwhile, PHP – due to the wide scope of the language and plenty of naming conventions – has a syntax that is far less obvious and actually calls for devoted attention towards learning and assimilating it.

  •  Getting started/ wrapping your head around it

PHP admittedly takes home a win, hands-down when it comes to learning how to use it. On the other hand, Python calls for a relatively longer time investment: software developers might take time to learn how to use its variety of features.

However in the long run, this greater number of features makes Python far more handy.

  • USP

At the end of the day, software developers are all seeking a certain set of conveniences and PHP and Python appeal to different software developer requirements.

Of course quick deployment is a concern for all software developers and both languages attempt to support this omnipresent need.

Beyond this basic requirement, PHP boasts conveniences such as being open source. On the other hand, with Python, you might be able to get by – very successfully – with far fewer lines of code. Python also makes dynamic typing possible.

  • Frameworks

Python uses fewer frameworks than PHP does and therefore is easier to work with. It also makes for easier adaptation of the software created at a later stage.

Some frameworks supported by Python are: Django, Flask

Some frameworks supported by Python are: Laravel, Slim

Why Python?


Because of its key role in today’s big concepts like artificial intelligence, machine learning and automation, the value of Python as an essential tool for software developers in Chandigarh – and across India – is greater. Artificial intelligence, machine learning and automation are not passing fads but are being seen as a means towards cutting costs, identifying and plugging resource leaks, optimising processes, tailoring approaches, improving accessibility and so on. From manufacturing to corporate offices, tourism and hospitality, healthcare, banking, defense, governance – and even online dating – AI and automation represent the present and the foreseeable future. Python can help software developers in Chandigarh be part of the AI and automation-fuelled growth story.

Keeping pace, staying relevant

The popularity of Python has been on a steep untrend over the last five years and if you want to compete with Python developers in Chandigarh and globally, you will logically need to be able to offer the products and services that they are able to offer. To do this, clearly you will need to master the tools they are using.

Equal footing for beginners

Although PHP might be easier to use if you are an experienced coder, Python uses only a few lines of code and is therefore easier to learn for people who have only a minimal to moderate coding background. Many beginners will argue that Python is actually easier to use.

Easy maintenance

Maintenance is yet another advantage that Python boasts over PHP. Not only is Python is to write, but software service providers will also not have to break a sweat while debugging it. This makes maintenance a breeze and contributes to potentially improved profitability because you spend less time per client.


Speaking of profitability – which ties in with efficiency rather than toiling unnecessarily – the fact that Python is portable is one of its most popular characteristics. This means that you can seamlessly and conveniently run Python on any OS or any platform that is handed to you.


In fact, Python helps you be a more productive software developer, letting you bring in more and more billable projects. You’ll be completing each software development faster – thanks to its buffet of prebuilt libraries – and this means that you will be able to take in a higher number of projects and clients, which in turn could correspond to higher profitability.


Python doesn’t only enable automation, but also embodies it. Clearly, Python takes “practice what you propose” very clearly because it automates garbage collection and memory addresses.


Making the right impression is more important today than it ever was before. Social media and user reviews can make or break a software developer’s reputation. Test your software at every stage in the development cycle to avoid encountering costlier roadblocks further down the line with Python’s interactive shell, which allows developers to test components before implementation. 


Although PHP has enjoyed its moment in the spotlight and has to be credited for the convenience it ushered in when it was launched, Python is a tool that software developers with an eye on the future cannot afford to ignore. Try it hands on to understand the value of Python for yourself.

Why to Learn Rust in 2021?

According to the surveys conducted by Stack Overflow, Rust has been the most-loved language by the developers for six straight years now. Put simply, developers who start using Rust in programming for their projects cannot get enough of it. To name one, Johannes Köster, the developer of the popular workflow manager Snakemake, was looking for a language that offered the ‘expressiveness’ of Python but the speed of languages such as C and C++. Rust was the language that he went with.

Rust blends the features of high-performance languages like C, C++, and memory handling capabilities and simplicity of modern programming languages. In this Rust blog, we will take a look at some of the reasons you should learn Rust in 2021.

Why to Learn Rust in 2021?

  • Static Typing Unlocks Easy Maintainability

If you are already working in the development industry, you probably know the comfort and ease of static typing. Rust in programming is a statically typed language. Consequently, all types are known at compile-time while programming in Rust. Additionally, one of the reasons to learn Rust is that it is a strongly typed language. In other words, it is harder for developers to write incorrect programs with Rust.

Rust in programming also allows you to manage complexity seamlessly. It maintains a high level of simplicity and enables developers to keep up with what is going on in the code. In addition, Rust does not require you to declare the type of variable multiple times. Essentially, Rust enables nesting and closures and enables unmatchable maintainability of the code.

  • Best-in-Class Speed and Performance

Rust is well-known for its excellent speed and performance. Its performance is one of the primary reasons why developers choose to learn Rust. To compare with other programming languages, the performance Rust offers matches languages like C++. It inarguably beats programming languages like Python.

Rust owes its outstandingly high speed and performance to the absence of garbage collection. In addition, it does not have runtime checking and the compiler stops the wrong code immediately. So, unlike other languages, Rust in programming prevents incorrect code from proliferating and wreaking havoc on the system. Furthermore, Rust offers excellent performance for embedded systems as well.

Rust’s high performance with the simplicity of syntax makes it an ideal choice for a wide range of programming projects. So, if you’re wondering, “should I learn rust?”, you should. It will increase your employability as a developer and improve your programming experience.

  • Solves Memory Management Issues

Languages like C have manual memory management which is a nightmare for projects that demand a low-level memory control such as systems programming. One of the reasons to learn Rust is that it offers convenience on low-level details. It offers direct access to hardware and memory because of the absence of a garbage collector. In other words, you can replace pieces of code without taking memory safety risks in Rust, much like a microcontroller application for low-level codes.

  • Ideal for Embedded Programming

Embedded systems are most commonly used in machines and home appliances. Naturally, the resources are very constrained in terms of computation. Thus, programming for embedded systems needs a modern programming language that has a low overhead. This makes Rust an ideal language for embedded programming.

Rust in programming is a resource-efficient and in-demand feature in an embedded system. It also eases the developers’ job by easing bug identification and preventing any future issues with the device. Rust also offers zero-cost abstractions which means that it accepts whatever abstraction of code you use. These are a few reasons for the importance of Rust in embedded programming.

  • Cross-Platform Development and Support

If you want to build cross-platform solutions, you should definitely learn Rust. Rust allows you to build cross-platform solutions that work on all the major operating systems including  Linux, macOS, and Windows. It supports both front-end and back-end development allowing you to develop solutions conveniently. Web frameworks like Rocket, Nickel, and Actix further simplify development in Rust significantly.

  • Expansive Ecosystem

One of the reasons why you should learn Rust is the expansive ecosystem of tools it has to offer. The horizon of the Rust ecosystem is expanding very quickly with its rising popularity in the programming world. The importance of Rust can be understood by knowing that it is more than just a language or a compiler. It is an ecosystem that focuses on all the aspects of software product quality.

learn rust

Rust developers use Cargo, the command-line tool, that helps in managing dependencies, running tests, and generating documentation. Similarly, there is a Rust community site,, which caters to the Rust library needs of the developers. All the documentation of any library published on can be found on Additionally, property-based testing, benchmarking, and fuzzing are also easily accessible for developers.

Rust in programming is not the perfect programming language. It does have some disadvantages. Some developers have found it quite complex. It can be difficult to learn and is slow in compiling too.

Rust is strongly typed and focused on memory safety which can create errors while compiling your code. The Rust community is finding new ways to improve these error messages and make them clear and actionable. In addition, Rust is relatively new and hence does not have some desired libraries.

However, the benefits and importance of Rust far outweigh its cons. From performance to ease of programming, Rust offers one of the best programming experiences to its developers. It packs the speed and performance of languages like C and C++ with a friendlier syntax and a well-engineered set of tools that simplify development. It also focuses on code safety and maintainability.

So, if you’re a developer or an aspiring developer asking, “Should I learn Rust?”, the answer is definitely yes. It will make your job much simpler and productive for future programming projects. Its wide-ranging applications will help you become versatile and grab various opportunities.

Python: 5 Important Reasons Why You Should Use Python

With applications in various paradigms of programming and computer science, Python is one of the most popular and fastest-growing languages out there. Python allows you to develop a variety of applications, including web applications, software and game development, network programming, GUIs, scientific and numeric applications, and more. Not to mention, it is the central emblem when it comes to artificial intelligence applications.

Thus, you must wonder at times whether you should learn Python. You might also be an aspiring developer and asking yourself the question, “Should I Learn Python? Should I learn Java or Python?” In this article, we’ll discuss why you should learn Python and use it to advance in your career.

To give you a brief introduction, Python is a high-level, interpreted, and general-purpose dynamic programming language that was founded in 1991 by developer Guido Van Rossum. The language is one of the most popular programming languages in the world. It is known for the simplicity of its syntax and code readability. The language is easy to learn, code, and write because of its simplicity. The language also offers the benefit of huge community support and vast libraries.

5 Important Reasons Why You Should Use Python

  1. Unmatched Readability

If your main goal is to ensure that the application you develop is effective, you know you need to keep the quality of source code in your quiver. In other words, the performance and effectiveness of an application depend largely on the quality of its source code. A programming language with a clean and structured code base also significantly simplifies maintenance and updates. This is one of the reasons why you should learn Python.

Python triumphs by a huge margin when it comes to the readability of a programming language. It is designed in a way that allows you to express concepts and logic without writing any additional or redundant code. In addition, it also allows you to use English keywords instead of punctuation, emphasizing code readability. As improved updates of the language keep coming, the future of python seems to be even more readable.

Since the Python syntax is extremely readable, it also makes it much easier for aspiring developers to learn compared to other programming languages. Therefore, Python allows you to build custom applications using simple and readable code without any additional code. With so many hours of tedious development cut down, this might give you an idea about the importance of python from a developer’s perspective.

2. Supports Multiple Programming Paradigms

In November 2020, Python surpassed Java and became the second most popular language in Tiobe’s long-running index, after C. While the wide range of benefits offered by Python is also a reason for this, the primary reason for this is arguably the fact that its supports multiple programming paradigms. This is also one of the reasons why aspiring developers almost always get a yes when they ask the question, “Should I Learn Python?” With so many domains that it has applications for, Python is the most popular programming language in terms of learning demand.

The fact that Python is now more popular than Java probably also answers many of you who are asking, “Should I learn Java or Python?” From small-scale projects to large-scale projects, Python helps developers in building custom applications by writing logical and clean code. Python supports the following programming paradigms:

We know that one programming paradigm cannot solve all the problems efficiently. This is why you should learn Python. It equips you with the tools and functions to solve different types of problems from different domains. Multi-paradigm support also makes Python widely popular among enterprises. Other features like automatic memory management make it even more powerful than other programming languages out there.

3. Outstanding Compatibility

Python’s excellent compatibility is also one of the reasons for its wide popularity. It is supported all the major operating systems and architectures. In addition, Python’s code is executed line-by-line directly without a prerequisite to compile the human-written code into machine instructions first.

Thus it offers some additional benefits over the compiled programming languages, such as C, C++, Java, etc. Being an interpreted language, it is easier to run the same Python program on multiple platforms. All you need to do is to make sure that Python is installed on the computer where you are running the code. Furthermore, it is easier to make alterations in the code and run the modified code and see the impact of changes immediately in Python. Thus, Python is also suitable for ad-hoc requests without increasing the development time.

4. Powerful Standard Library

You must be wondering why should I learn Python over any other language that is almost equally readable and supports multiple programming paradigms as well. Another compelling reason why you should learn Python is its robust and large standard library. The library gives Python developers an edge by marginally cutting down tedious and mundane development tasks and focus on concepts and logic;

Python’s standard library offers a wide range of modules, operations, and web service tools that can be used for your applications. This eliminates the need for writing code for basic elements in an application time and time again. This not only saves time, money, and effort but also ensures efficient development.

Python standard library provides low-level details to developers allowing developers to focus on the logic of the application. Since most developers are well-versed with the standard library, the code provided by it is more maintainable and can easily be reused across projects. Furthermore, it is a well-optimized and tested library that provides you reliable and effective code for your application.

5. Enables Test Driven Development

It’s a well-known fact that Python is extremely good for prototyping testing and debugging tools. It allows you to create a prototype of the software application rapidly. In addition, you can develop the software application directly from the prototype simply by refactoring the Python code.

These qualities of Python make it easier for developers to adopt the Test Driven Development approach and perform coding and testing simultaneously. The required tests can be written before writing the code for the application and then the tests can be used to assess the application code continuously. This is one of the primary reasons why you should learn Python.

Clearly, Python offers a seamless, easy, and convenient development experience with a wide range of benefits. From its unmatchable readability to a robust standard library, there are a lot of compelling reasons why you should learn Python. Python has also knocked down Java in terms of popularity and is now the second most popular programming language. This means that its popularity among enterprises will rise even more. Hopefully, all of these compelling reasons are able to answer your question should I learn Python.

5 Strategies For Keeping Your Company’s Sensitive Data Secure

In this data science blog, we are going to talk about a handful of simple measures that you should employ to keep your company’s data secure. Data security is a chief concern for companies of all sizes at all stages of the business cycle. The value of data is more pronounced today and businesses are going all out to invest in improved data security.

It is indeed essential for companies to take all measures possible to secure their data and avoid the heavy losses that could emerge from a data security breach. Here are some simple measures – some that cost you nothing and some that cost barely anything – that you should implement immediately.

Plug that paper trail

While we are all incredibly concerned with firewall protection and apps that are spying on us, businesses today fail to consider physical documents as a potential hole in their security. Have an SOP in place for sensitive paper documents. Once they have been utilized, ensure that they are shredded immediately. Leaving them around the office could expose them to prying eyes. Even if your office has tight security, you do have some visitors like people who come in for scheduled meetings and also technicians who might enter your office for repairs or maintenance.

Pay heed to passwords

If IT sets up everyone’s default passwords, and nobody changes their passwords; if everyone knows everyone else’s passwords and hijacking a colleague’s computer is child’s play, there is a serious lack of accountability in the workplace. Getting into one team member’s computer and making their way from there, is all a set of prying hands/ eyes needs.

Take password protection seriously. Passwords should not be pasted on the edges of desktops either. Be strict about password protection, train and remind employees of the importance of keeping company data secure. Ensure that your team understands the value of data and circulate data science blogs to engage them in the seriousness of the issue.


Make sure that all sensitive data that needs to be emailed is sent only via encrypted emails. This means that only the sender with the requisite encryption key can send the data and only a recipient with the designated encryption key can receive the data. Encryption offers you amazing protection at a nominal cost and just a little more effort than you would have normally put in.

Common sense measures

When you are posting or couriering sensitive documents be sure to use manila envelopes, double envelopes or any sort of opaque packaging. Hold your courier package up to the light to ensure that prying eyes cannot see through it. Secure the package not just with staple pins that can be undone and replaced easily but with a few rounds of masking tape.

Also consider how documents sent to the printer in the office can be accessed. A printer can be a very easy route to accessing sensitive data. Restrict access and ensure that documents and data are permanently erased from the printer’s memory immediately or at least regularly.

If data is backed up to prn drives and hard discs, ensure that these are maintained under lock and key.

Accounting software

Spreadsheets are very susceptible to prying eyes within the office that understand the value of data and to hackers. On premise data security can only achieve so much. Secure your financial data by using cloud accounting software. There is password protection as a primary layer of protection and firewall protection as the ultimate safeguard. Some brands like Dext, secure your data with double firewalls.

To conclude, data security is an ongoing practice. There’s no do-this-and-forget-it mechanism. Moreover, it is everyone’s responsibility.

Mobile app design: Tips to furnish an attractive look to your mobile application.

There is always one mobile app in each category that leads in their particular category be it E-commerce, Travel, Fintech, etc. The main reason behind this is the great design and awesome user experience. The difference between a good and a bad app is basically its design and user experience. Today’s mobile users have high expectations from apps, including quick loading times, ease of use, and delight throughout the interaction.

Smartphone users are only interested in apps with a pleasing design, easy navigation, and a simple UI. It can be difficult to create a mobile app that meets these high standards and gains downloads. So, In this mobile application design blog, we will talk about how you can design the best mobile apps. We will also talk about some awesome mobile app UI design ideas and some tips for mobile app design. 

How better designs help in improving the conversion

The emotions users receive when they launch your app are a design concern, not just the fashion. Especially when there are so many amazing feature-rich apps already on the market. Users expect a better experience from every app they use, and app design plays a major role in an app’s success.

As a result, app designers must keep their knowledge up to date and implement innovative and creative app design ideas in order to create a great app that meets better user satisfaction and significantly increases conversion rates.

Tips for Mobile app design

These tips will be helpful for those who have little or no experience in designing mobile UI. Here is the list of the tips for mobile app design:

  • Keep it simple: Remember that your app will be used by real users on a small device. Don’t try to cram everything into a tight space and hope for the best. For usability, UI components must be taken into account.
  • Don’t make random colour choices: All of your app’s design features, including the colour aspects, must serve a clear function. Make sure the colours aren’t overly bright, clashing, or hard to read. If the colours are excessively bright, you don’t want to harm someone’s eyes.
  • Make sure actions are recognized: Something must happen when a button is pressed. Even if a page is loading, a moving icon or something to indicate that it is being refreshed should be present. If a user performs an activity and does not receive feedback, they may believe the programme is stuck. Assuring that their activities are detected will also help in creating the illusion that a page is loaded faster than it is.
  • Use visual elements: While your app will obviously require text, the design will also require a large number of graphic elements. Don’t make the design excessively text-heavy. Use images to complement any words on the screen. Create animations.
  • Clearly separate text: You don’t want different texts to overlap. It is not always reasonable to have large spaces between each line of text in order to be efficient in the design of your app. As a result, you’ll need to think of various ways to divide the content. Sure, you can use photos or page breaks to break up the text, but you can’t do it for every single line.
  • Don’t pick a fancy font: Don’t go too fancy with it. Your typeface should be fairly consistent across the app for the most part. You could use different fonts for different parts or headlines, but be cautious. Users will be confused if you utilise a lot of distinct fonts. Crazy fonts are likewise unappealing. It’s pointless to use ones that aren’t easily readable.
  • Wisely using the negative space: Negative space can be used behind the text, photos, and other design elements. Allow some breathing room between the columns. In the margins, leave some blank space. Allowing your design to breathe will improve its visual attractiveness.
  • Follow the guidelines: Even the world of UI has a set of rules that must be followed by any Mobile UI Designer. You should also keep the guidelines in mind if you’re experimenting with navigation and user interactions. Mobile UI Design Templates can be useful in this situation. This is required in order for your app to be released on platforms such as the Google Play Store and the Apple App Store.
  • Responsive design: The user interface must be created in such a way that the app can be used on a variety of devices and mobile operating systems. Finally, customer preference determines a specific percentage of the market, and this fraction would not change their preference to the popular platform despite its growing popularity.
Mobile app design blog

Benefits of having good Mobile app UI design

  • Customer acquisition: A perfect combination of user experience and user interface gives you a competitive advantage over your competitors.
  • Customer retention: When you create beautiful and intuitive mobile apps, more people will use them and, more significantly, they will keep coming back to for using your mobile app.
  • Less development time: A complicated navigation system, poor features, and wrong assumptions about how users would behave can waste a lot of time. Simply ensure that the design is right, and you will avoid future problems. Mobile UI Design Templates is one option that could work here.
  • Lower support costs: If an application isn’t properly designed, it will require documentation, training, and support, all of which will increase costs. Following Mobile App Design Guidelines is necessary for this.

Mobile app UI design ideas

UI design ideas play a very important role in the life of UI/UX designers. It helps them in exploring designs and also help them expand their way of thinking and taking design decisions. Here are few websites from where you can access a lot of design ideas.


The user interface of a mobile app can make or break its success. As a result, UI UX designers must be well-versed with the design trends existing in the market. All the websites mentioned above will help you in getting design ideas and inspirations for your next app. This will also help you to remain updated with the latest design trends.

When creating a challenging mobile app, you must think about and focus on a lot of details. However, researching, planning, strategizing, and sticking to your plan are the most important steps in creating a successful app. After you’ve figured out who your target market is, you can start developing the perfect app.

The best thing about UI designs is that they’re always evolving, and there’s no one formula for success. As a designer, you can always come up with new concepts and test them out to see what works best.

Why join Spine software systems?

Who are we?

Since the inception of Spine Software systems, we have been working relentlessly to bring the pharmaceutical industry closer together using cutting edge technology. Along with working in the pharma industry, we are also known for our enterprise resource planning solutions (ERPs), Mobile Applications and Trading software for the multi sectors. PharmaTrader, a one-of-a-kind pharmacy management system designed specifically for the pharmaceutical business, SpineBMS, an ERP solution for the pharmaceutical industry, and plenty of other additional products are among our offerings.

Spine Software Systems has proven from time and time again that we are the go-to software development company/java development company for the pharmaceutical sector, driven by a vision to connect the pharma sector through easy-to-use automated systems for better transparency, compliance, and profitability.

Our Mission

Spine Software Systems is on a mission to connect the pharmaceutical business by providing innovative solutions that boost profitability, ensure regulatory compliance, and ensure customer satisfaction. Spine’s objective is to revolutionise the software pharma industry by utilizing cutting-edge technology to give our clients a competitive advantage.

Our history so far

Spine has worked on a range of projects in the past, including website design and hosting, data centre infrastructure setup, LAN and WAN management, and IT system conversion. Our current experience as a software firm allows us to manage a broader range of projects, including industries other than just pharmaceuticals.

Spine Software Systems Pvt. Ltd. has had a long and glorious history. We intend to keep working in the same spirit, assisting businesses in achieving their objectives more quickly and efficiently.

Why join us?

At Spine software, our employees are not just employees, they are family members. Spine Software is a leader in providing software solutions in the Pharma industry for better transparency, compliance and profitability. Spine software is the place for you if you have the drive to achieve global standards and excellence while keeping an eye on resources and technology.

Life at Spine Solutions

Life at Spine Software systems is a pretty sweet deal. We work hard to ensure that every employee feels supported and encouraged to have a healthy balance between work and home commitments. We believe rest and a full life outside of the office makes for a happier, healthier team


  • Best compensation
  • Paid Leaves
  • Best Hardware and Software to work
  • Health Insurance

Looking to grow your career and yourself as an individual? Head over to our career page to look for opportunities and begin on your journey!

Ways To Evaluate and Improve Machine Learning Model

Being a machine learning engineer isn’t just about training machine learning models for solving problems. Simply training the model doesn’t guarantee that your model learns the concepts and patterns hidden in the training data to its full potential. A major portion of your work on an ML project will be to ponder over your test results and see if you can improve them.

However, improving your models will be really challenging if you don’t know how to evaluate them. There are several ways to evaluate machine learning models that point out the ways that you can improve your models. In this article, we’ll be taking a look at some of the ways to evaluate and improve machine learning models.

Evaluating and Improving the Performance of Machine Learning Models

Performance evaluation of your model is essential to ensure that your software development efforts achieve the optimum performance of the model for the dataset. To ensure effective performance evaluation, make sure that you don’t train the model on the entire dataset. Make sure you split the dataset for training and testing starting with a typical split of 70% training and 30% testing.

Splitting the dataset is essential to prevent the model from overfitting to the training set. However, it can also be useful to test the model as it is being built and tuned to find the best parameters of a model. But, we can’t use the test set for it. Hence, we make a third subset of the data in those cases to evaluate the model while still building and tuning the model known as the validation set. Make sure to shuffle the data before splitting to ensure that each split has an accurate representation of the dataset.

Now that we’ve known about the importance of the train/test/validation split, let us get to know the metrics used to evaluate the performance of the models.

  1. Classification Metrics

To understand what classification metrics are and how they can be used, we first need to understand the outcomes of a classification model. These are:

  • True positives: When you predict that the observation belongs to a particular class and it actually does belong to that class.
  • True negatives: When you predict that the observation doesn’t belong to a class and it actually does not belong to that class.
  • False positives:  When you predict that the observation belongs to a particular class and it actually doesn’t belong to that class.
  • False negatives: When you predict that the observation doesn’t belong to a class and it actually does belong to that class.

These outcomes can further be used to calculate the classification metrics that can be used to find out the model’s performance. They can also be plotted on the confusion matrix to visualize the model’s performance. Furthermore, the confusion matrix can also be extended to plot multi-class classification predictions.

Here are the three main classification metrics that can be used to evaluate your model’s performance.

  • Accuracy: The percentage of correct predictions for the test data is known as the Accuracy of the model.
  • Precision: The ratio of true positives for a class to the total predictions said to belong to that class is known as the Precision of the model.
  • Recall: The ratio of true positives for a class to all of the examples that truly belong in the class is known as the Recall of the model.

As you can tell, accuracy is the most basic classification metric that can be used to evaluate your model. Depending on the problem statement, precision or recall must be used to evaluate your model on the basis of relevance. You can also use F1-Score which is the weighted average of both the metrics if both are significantly relevant to the performance of the model.

  1. Regression metrics

In regression problems, you’re dealing with a continuous range instead of a discrete number of classes. Thus, the evaluation metrics that you need to use are very different from classification metrics. Here are the most popular regression metrics that you can use:

  • Explained Variance: This metric compares the variance within the expected outcomes to the variance in the error of your model. In essence, it represents the amount of variation in the original dataset that the machine model is able to explain.
Explained Variance
  • Mean Squared Error (MSE): The average of squared differences between the predicted output and the true output is known as the mean squared error.
Mean Squared Error (MSE)
  • R2 Coefficient: It is the statistical measure of how close the data are to the fitted regression line. It basically represents the proportion of variance in the outcome that our model is capable of predicting based on its features.

Effective performance evaluation is the first step to improve the performance of your machine learning models. Like most aspects of software development, this is key as well. Choosing the right metric to evaluate your model’s performance allows you to focus on the outcomes that matter and focus on their optimization more. Additionally, you must also be well-versed with validation and learning curves to ensure effective performance evaluation and optimization of your machine learning model.

How IoT is re-evaluating the Gaming Industry

Since the days of playing Pong in your best friend’s living room, the gaming industry has gone a long way. Virtual reality, augmented reality, redesigned graphics, and a focus on storyline have made today’s games more immersive and entertaining than ever before. Like software development in general, the IoT is one of the most recent advancements to propel the game industry forward.

The IoT (Internet of Things) has been a significant boost in the gaming industry’s massive success by enabling fantastic streaming of free-to-play mobile games available on the market. In the past few years, the Internet of Things has genuinely re-evaluated the gaming industry. Developers are also considering building or inventing devices and software that rely on the internet to provide a completely new gaming experience.

What is IoT?

The IoT is a network of interconnected mechanical and digital machines, computing devices, animals, objects, or people with unique identifiers and the ability to transfer data over a network without the need for human-to-human or human-to-computer interaction.

The internet of things is a term that describes how the internet connects all devices that have a computer chip within. It usually has to do with how a smartphone connects to and communicates with other devices, such as a home computer, a personal vehicle, or a smartwatch. When something is linked to the internet, it can either send or receive data. This ability to send and receive data makes things more innovative and more intelligent is better.

IoT is mainly comprised of the following:

  • Sensors that gather and transmit data.
  • Computers that receive and process data.
  • Things that fulfill both functions.

IoT and Games

IoT has benefited gaming by allowing smart devices and consoles to be used by gamers, players, and streamers. Though games were available in the past, they were not well-known because mobile phones lacked features that prevented people from enjoying the fun gaming mode.

Nowadays, smartphones are equipped with cutting-edge software and hardware, allowing developers to create gaming experiences that are both enhanced and smooth. IoT has accelerated such developments on mobile devices, combining different features such as sensors, microphones, and accelerometers, among others, with gaming modes for more enjoyable gameplay. Moreover, the combination of games and IoT has provided gamers with an unexpected connection with the gaming as if they are in reality with the game’s narrative.

The increased use of smartphones has greatly accelerated the growth of IoT. Accelerometers sensors, touch and pressure sensors, cameras, and heart rate monitors are among the hardware and software features found in smartphones and tablets. Mobile applications can use all of these to report and collect data on user experience. For example, gaming platforms will learn how customers interact with online games by analysing and tracking the correct data.

Another advantage of mobile gaming’s growing popularity is that it makes gaming more accessible to people of all backgrounds. However, gaming consoles can be costly and are frequently regarded as luxury items in many households. On the other hand, smartphones come in various price points and are considered a necessity regardless of income.

In the last ten years, video gaming has undergone massive change and overhaul. While desktop devices and consoles continue to be extremely popular, the mobile gaming industry has seen the most growth, thanks mainly to the continuous flow of free games released to the market.


Many businesses, including the gaming industry, stand to benefit from the Internet of Things. Every year growing faster, the sector forces companies to seek out new ways to differentiate themselves. As a result, the entire market will alter forever if IoT is implemented in video games.

Today, the reality is that IoT offers unlimited potential in the gaming industry. However, as more devices connect to the internet of everything, the potential effects on people’s daily lives remain debatable due to issues ranging from security concerns to logistical implementation.

IoT in the gaming industry has enabled game developers, designers, and manufacturers to leverage the advanced software and hardware available in smartphones to create many IoT gaming projects, market them to a larger audience, and improve their gaming experience.

The Future of 5G in India

Information technology and communication technologies are critical components of how our society functions today. The telecommunications industry has evolved into the backbone of today’s digital world, allowing businesses, governments, social structures, and individuals to connect and share information readily.

The telecommunications sector offers both wired and wireless methods for connecting individuals to equipment for peer-to-peer and internet communication. The wireless system has progressed along several evolutionary paths with a common goal in mind: improved performance and efficiency in the mobile environment. Radio access, data rates, bandwidth, and switching algorithms all play a role in advancing wireless and cellular networks. In addition, new technological research and development give the telecommunications sector new directions.

India is launching a 5G wireless service soon. According to a survey by Swedish telecom equipment maker Ericsson, India, which has the highest average monthly mobile data traffic per smartphone, is anticipated to surpass 350 million 5G subscriptions by 2026.

Because people relied on mobile networks to stay connected and work from home during the pandemic, India now has the world’s highest average traffic per smartphone. In addition, monthly usage growth in India is on the rise because of low mobile broadband services, affordable smartphones, and individuals spending more time online.

Mobility Report, 2020

From 2021-2027, the global 5G services market is predicted to develop at a compound annual growth rate (CAGR) of 43.9 per cent, reaching USD 41.48 billion. Between 2021 and 20231, 5G wireless mobile services, which provide a digitally connected environment to consumers through various use cases and business models, are expected to be commercialized.

According to the estimate, by 2026, four out of every ten mobile subscriptions will be 5G, with 3.5 billion 5G subscriptions expected globally. LTE (long-term evolution technology) subscribers in India are expected to grow from 710 million in 2020 to 820 million in 2026 when 3G is phased out. LTE will continue to be the most popular technology in 2020, accounting for 63 per cent of all connections. India might be having its first 5G connection in 2021, according to the reported timeframe for spectrum auction for 5G services.

5G in India

This year, 5G has been a popular topic of conversation, with telecom giants Jio and Airtel declaring plans for 5G in India. According to recent sources, the 5G network will not require a new SIM card, and the transition to 5G will be unlike previous cellular generation upgrades. “5G wireless technology is supposed to give faster multi-Gbps peak data speeds, ultra-low latency, improved reliability, huge network capacity, increased availability, and a more uniform user experience to a larger number of users,” according to Qualcomm.


The 5G technology’s faster data speeds and extremely low latency will improve the user experience when using 5G services for various purposes. This includes Virtual Reality (VR) and Augmented Reality (AR) gaming, seamless video calling, Ultra-high Definition (UHD) films, and intelligent device services. Over the predicted time frame, most software companies are forecasting a rising demand for high-speed data for smart services and other connected devices is likely to boost the adoption of 5G networks. Furthermore, the growing importance of 5G system deployment providers in forming connections with telephone companies is projected to accelerate the adoption of 5G services.

Experts in the telecommunications industry predicted exponential growth in mobile users, smart home appliances, smart health care systems, smart transportation, machine-to-machine interactions, smart vehicles, smart sensors, smart tools, and other connected devices, which will result in increased data traffic. As a result, innovators are developing 5th generation (5G) cellular technologies to fulfil the needs of next-generation wireless devices. As a result of these developments, the pace of software development will be rapid too.

For the 5G wireless technology that can be allowed with the new emerging technologies, ultra-high bandwidth is essential along with 1000 times larger capacity, ultra-high data date, zero latency, high-speed mobility, and high energy optimization. 5G is technologically superior to earlier wireless technologies in the following ways:

  • Super speed, i.e., 1 to 10 Gbps
  • Latency will be one millisecond
  • 500Mhz to 1-2 GHz
  • Feasibility to connect 10 to 100 numbers of devices
  • Worldwide coverage
  • About 95% reductions in network energy usage
  • Much longer Battery life
  • The whole world will be in a Wi-Fi zone

So, what are your ideas on how to leverage the true potential of 5G in India? If you liked this article, feel free to share it with your friends who are interesting in emerging technologies and the endless possibilities associated with those!

Why Every Organization need Robotic Process Automation.

Organizations are increasingly incorporating automation in their workflows and processes to enhance operational efficiency and fuel business excellence. From virtual agents, customer self-service applications to automated processes and novel solutions leveraging new-age AI technology, automation is penetrating various operations. Predictions 2018: Automation Alters The Global Workforce, a recent Forrester Research report, showed that automation would help organizations establish market dominance in their respective industries.

Several tasks such as streamlining different processes, workflows, and tasks, are at the heart of automation. One of the types of automation that are gaining wide popularity and proving to be highly resourceful for organizations is robotic process automation (RPA). It presents a very efficient and robust solution for repetitive tasks and companies facing different transitions.

The development and disruption caused by various technological advancements result in digitization and automation of various processes. Companies especially need to be agile in development and customer support activities to get a competitive edge. Robotic process automation (RPA) allows organizations to boost efficiency in different operations, ensure seamless management, and create cost-efficiency.

Let’s take a look at what RPA is and why it should be the next thing to be on the agenda of organizations that are not using it.

Robotic Process Automation: The Digital Workforce of Tomorrow

A software-based solution can carry out procedures, processes, or repetitive tasks, precisely the motive of robotic process automation. The software solution involves software combined with machine learning and AI rather than using physical robots to automate routine and manual data-intensive tasks. In addition, the RPA technology is also progressing into more value-adding creativities with the evolution of cognitive computing and artificial intelligence.

The “bots,” or non-invasive software robots created under RPA, work in a line of certain rules that they are programmed with by the developers. Thus, they run rule-based processes with unmatchable accuracy and efficiency, having a lesser scope of manual error. What sets RPA apart from traditional automation is its flexibility and adaptability to understand and adapt to changing conditions and exceptions. RPA can use data, trigger response, start new actions, and interact with other systems when prepared to capture and understand the workflow of certain processes in the software application.

RPA is also significantly flexible with back-office technologies or strategic processes and doesn’t require you to make extreme changes in them. The RPA process is also extremely compatible and can connect their systems even if they use various technological systems and have a multi-location presence. With all of these benefits, we know that RPA is a minimal risk and cost-effective solution for process automation and optimization with promising results.

7 Compelling Reasons to Employ Robotic Process Automation

You might still be unsure about employing RPA at your organization. The list of advantages that RPA provides doesn’t end with what we talked about in the previous section. It offers a wide range of benefits to organizations and allows them to reach business excellence. Here are seven compelling reasons to employee RPA at your organization:

1. Accuracy: The scope for human error is eliminated since software bots carry out the entire function, boosting operation accuracy significantly. Not to mention, it saves a lot of time by obliterating rechecking of processed tasks.

2. Higher Security: RPA also eliminates human interference, which allows it to carry out highly confidential tasks such as government file processing with a higher level of security. Note that these RPA bots only perform rule-based tasks that they are programmed to do. Hence, they can be used without any security concerns for highly confidential tasks.

3. Low Technical Barrier: Since the RPA bots will be working on pre-programmed code, your employees wouldn’t need technical proficiency to configure them. You just need to provide them RPA development tools that will help them configure these bots.

4. Unmatchable Consistency: Repetitive tasks are often more exhausting for your workforce because of being mundane and repetitive, and the accuracy and efficiency might deteriorate over time. RPA bots offer unmatchable consistency and can perform the same task repetitively for as long as you want without affecting the accuracy and efficiency.

5. Higher Workforce Efficiency: With RPA freeing your workforce from repetitive and mundane tasks, you can better utilize them for tasks that require creativity and emotional intelligence.

6. Enhanced Quality: By increasing the efficiency and accuracy of various tasks, RPA significantly enhances the quality of your services.

7. Reliability: You can count on bots for delivering the desired results. Their reliability rests on their ability to apply rules without fail, perform certain tasks without errors, and their ability to adapt.

RPA offers a wide range of lucrative benefits that allow businesses to get a competitive edge and achieve business excellence. Enhance your organization’s efficiency and make your processes more resilient to changes in a business environment.

Top Machine Learning Trends to Look Out for in 2021

In this day and age, technologies emerge and evolve every day. But only a few come about that revolutionize everything from our lifestyles to applications across industries. Artificial intelligence is often compared to electricity for its potential to revolutionize every aspect of human life. It will transform every industry and create huge economic value. ML is a subset of AI that allows machines to learn from data without being programmed explicitly.

To give you a perspective of how important Machine Learning is in our lives, a study showed that 77% of devices that we presently use are utilizing ML. From our interactions with Google Assistant, Alexa, or Siri to our mail services putting a phishing email directly into the spam folder, it’s all ML. The AI-ML industry is moving at a lightning-fast pace because of the higher availability of data and developments in computation power.

Keeping up with this pace is crucial for everyone, regardless of the industry that they’re working in. It will help them leverage machine learning to come up with innovative and disruptive solutions for problems and pain points of their respective industries. Here are a few machine learning trends that you should be on the look-out for in 2021:

  • Hyper-Automation

You might be familiar with the quote, “Technology like supervised learning is automation on steroids.” This has become the central idea behind Hyper-automation, an IT mega-trend identified by Gartner. It refers to the likeliness that virtually everything in an organization can be automated. Machine learning can be used at every step of the way in managing workflows and processing across the organization.

The pandemic has significantly accelerated the adoption of the concept in various organizations across different industries. AI and ML key segments and significant drivers of hyper-automation, coming together with other technologies like task automation and process automation tools. Incorporating ML solutions in hyper-automation initiatives make the automated business processes more adaptive and resilient to changing circumstances.

  • Amalgamating IoT and Machine Learning

Internet of Things, as the name suggests, is a network of several devices that can interact with each other. Advances in communication and 5G have allowed IoT devices to communicate at much faster speeds with exceptionally lower latency. Put simply, the room for innovation and growth in IoT has expanded from the size of a pebble to the size of a boulder.

The function of IoT devices is to collect data that can be processed and used further for wide-ranging applications. This is where ML comes into the picture, for using that data. With both technologies moving at a pace faster than ever, we’ll see a lot of applications that amalgamate both technologies to develop disruptive solutions. In addition, the usage of ML for making IoT devices and services smarter and more secure is also one of the emerging machine learning trends.

  • Faster Computing Power

Artificial neural networks are a fascinating subject of research with new architectures and methods coming up every year. AI researchers and analysts are making revolutionary algorithmic breakthroughs and finding new problem-solving mechanisms that are more computationally economical. Furthermore, as third-party cloud service platforms support the deployment of machine learning solutions in the cloud, we’re moving towards a new era of computational excellence.

machine learning blog
  • Reinforcement Learning

Reinforcement Learning is one of the budding machine learning trends that can generally be used by businesses across different industries in the future. It is a newfound use of deep learning to enhance the effectiveness of collected data by factoring in its own experiences. Essentially, it is the training of machine learning models to make a sequence of decisions using their own experiences.

A chatbot for customer service is the perfect example of that. In reinforcement learning, the AI solution is programmed with a set of conditions that determine what kind of activity will be performed by the software. The software then tries to achieve the ultimate objective by auto-learning from its own actions and outcomes.

ML solutions for cybersecurity is another one of the promising machine learning trends in 2021. ML algorithms find their applications in cyber threat detection, combating cyber-crime, enhancing available antivirus software, and much more. ML-based antivirus software are known for their ability to detect malware or virus by detecting irregular behavior and anomalies. Smart antivirus leveraging advanced machine learning algorithms are much more reliable, compared to their signature-based counterparts.

There are various other machine learning trends that you must follow. To name a few, automated machine learning, deep learning for business intelligence, augmented intelligence, and conversational AI are starting to shape up and drive innovation. But, these five machine learning trends will be the compass of innovation, disruption, and growth in 2021 across industries.

How Is Sales Order App Helpful for Pharma Wholesaler to Run the Business Smoothly?

The sales order app is beneficial for business management. Pharmaceutical wholesalers can easily handle the received orders and smoothly carry on their sales procedure and grow their business.

Wholesalers require to keep the records of their order, and they recruit people for the purpose. They also require partners to keep track of the received orders. All data relating to the customers as well as their records are also needed to be saved.

Order booking app can help them keep the records efficiently and in minimum time, especially for managing huge orders.

So, pharmaceutical companies should implement the latest software for properly managing sales and orders. It can also optimize your workflow that is required for the smooth running of the business.

A Sales order app is the supports optimizing sales and increases the workflow. Let’s discuss how:

  • It develops an integrated contract in the form of an agreement between the wholesalers and the customers.
  • You can have an idea about your stock so you can reserve them for your clients.
  • Wholesalers can effortlessly track their products while the sales process is going on till the products are delivered.
  • It develops a document with one sales number and the total sales records.
  • It is the wholesalers’ purchase forecasting and refills guide.

The wholesalers can create a delivery order, picking up a list, and bill with only one click. Therefore, pharmaceutical companies are prone to adapt inventory and sales order apps to perform their tasks quickly. They can also make sure that every unit receives immediate and practical access to the right and updated order records. The billing software for pharma helps to generate the invoices fast, and it helps to maintain the cash flow.

Let’s discuss how a Sales order booking tool can make the business easy for pharma wholesalers:

  1. Decreases human mistake:

The sales order app is an automated service. Therefore, it helps to reduce human mistakes. So, the wholesalers can reduce expensive sales mistakes and delivery mistakes as it automates sales order information.

The manual errors like making an improper price list without knowing the prices and forget to add special discounts are eliminated with this tool. This software prevents wholesalers from committing mistakes. Its automatic functions tally price lists and sales orders so that no mistake can occur. The software also prevents you from running out of stock, undelivered products, and wrong addresses frequent human errors. You can add codes to your products which helps you to have all records while scanning them.

  • Helps to become more productive and earn more revenue:

Implementation of the latest technologies enables you to become more effective. While you are engaging sales order app that means it will automate your order information. You need to create a budget; then you can immediately form sales orders, delivery orders, and prepare bills; from taking order, delivery, and cash flow, everything will be optimized.

Another benefit of using the software is that you won’t need to recount all your products once you count all your products. It will save you time, and you can concentrate on production. After a lot is delivered, the app will update your stock info and make you aware if you don’t have enough stock. Therefore, you need to provide less effort and concentrate on increasing production that can increase your profit.

  • Enhances relations with customers:

Using the latest technology will help wholesalers to attain better customer satisfaction. They only need to ensure that all workers are using the same tool. That is necessary to ensure that all are performing at an equal pace.

This is required to provide an integrated service to the customers. You will also have a prior opinion regarding the stock, so you should not disappoint your clients after taking the order. You can ship the orders in less time so products will be delivered fast. Thus, you can receive more customer satisfaction.

  • Maintain a smooth workflow:

The pharmaceutical industry is a crucial one where a wholesaler needs to work with different things in various circumstances. This can interrupt the workflow. But the implementation of the cloud-based app can guide them to provide hazard-free service and maintain a smooth workflow.


Therefore, a sales order app is essential for pharma wholesalers for eliminating error and carrying on a smooth business.

How Artificial Intelligence is helping the Pharma Sector?

Artificial intelligence has disrupted many industries over the years and given birth to endless opportunities for business growth and transformation. But, the pharma industry is still yet to explore these opportunities and the applications artificial intelligence has to offer.

From streamlining methods and processes to creating improved drugs to combat fast-growing diseases, AI is not just improving efficiency across the pharma value chain but also fostering innovation. The radical shift in innovation paradigm in the pharma industry because of AI is creating new business models that are powering more efficient and seamless clinical and healthcare processes.

Every aspect of the pharmaceutical industry from R&D to manufacturing and marketing can be revamped and made more efficient, cost-effective, and hassle-free using AI. Let’s take a look at some of the most notable applications of artificial intelligence in the pharmaceutical industry:

  1. R&D Process

The R&D and drug discovery process can be extremely costly and time-consuming. Pharma companies across the globe have started to leverage robust ML algorithms and high-performance AI tools to streamline their medicine discovery processes.

These powerful AI-driven tools help pharma companies to deal with challenging aspects of biological networks by identifying subtle patterns in large datasets. By giving them the ability to study the patterns of various diseases, AI enables pharma companies to make informed, data-driven decisions on drug development.

  1. Drug Development

With a 13.8% success rate at clinical trials, developing a drug is a tough call for pharma companies because of the hefty costs of the whole process of drug approval. AI gives pharma companies the power to design and identify new molecules, perform target-based drug validation, enable data-driven drug development, and much more.

Adopting AI not only improves the approval success rates of their drug but also streamlines the development process and cuts down operational costs resulting in cheaper rates.

  1. Manufacturing

Using AI-powered algorithms and tools, pharma companies can ensure higher productivity, improved efficiency, and faster production, especially for life-saving drugs. Artificial intelligence can make every aspect of drug manufacturing streamlined and efficient:

  • Quality control
  • Predictive maintenance
  • Waste reduction
  • Design optimization
  • Process automation

Conventional manufacturing techniques can slow down the drug manufacturing process and make the process prone to human error. A drug manufacturing process braced on AI boosts the ROI, eliminates human error, enables rapid manufacturing, and reduces prices. Another common implementation of AI in the pharma industry will be the modern pharma billing software that helps organizations to always stay ahead of the curve and minimize revenue leakages.

  1. Diagnosis

Most healthcare facilities now store sensitive patient records and medical data securely in a cloud or a centralized storage system within a robust AI software to store, monitor, and track electronic medical records. Several  AI-powered tools made up of advanced ML algorithms allow doctors to process and analyze patient data.

These powerful tools can help doctors understand the impacts of a specific genetic trait on a patient’s health or the process of treatment through a drug. AI can also be used to give real-time insights on patient’s medical data and reports for diagnosis and treatment purposes.

  1. Treatment for Rare Diseases

AI can not only fuel the efforts of pharma companies to prevent diseases like Alzheimer’s, ALS, Parkinson’s, etc., but also accelerate the process of exploring better treatments for them. Before the advent of AI, pharmaceutical companies were reluctant to funnel time and resources on finding treatments for rare diseases because of the low ROI and approval rate. Today, with the power of AI, various pharma companies like Healx and Verge Genomics are working tirelessly to enhance the medicine discovery process for rare diseases.

To sum up, Artificial Intelligence is an excellent resource for the pharmaceutical industry with a scope that is widening with every passing day. Pharma companies across the globe are incorporating AI in their operations from R&D to manufacturing and unlocking enhanced efficiency and unimaginable business growth and transformation.

How AI/ML has Transformed Software and Mobile Apps

Technologies like Artificial Intelligence and Machine Learning can’t be referred to as just other technological advancements. They are finding new applications everyday in industries like telecom, machinery, healthcare, etc. Businesses across many industries are leveraging AI and ML to improve their existing services.

Above anything, AI and ML together have bridged the gap between humans and their devices in terms of communication and interaction. Moreover, AI and ML are also used to produce actionable insights by using huge volumes of data. One of the facts that makes AI and ML revolutionary technologies is that a major share of their potential is still untapped due to low latency and speed issues of 4G networks.

Since AI and ML have a huge impact on interaction of humans and machines, they can be leveraged to explore endless possibilities of user-experience. These applications have led to many transformations in software and mobile apps:

  • Advanced Searches

With the search in the applications equipped with AI and ML, users can search through methods like voice and images. Although these methods are not new, Artificial Intelligence and Machine Learning have increased their efficiency in terms of usability and precision over the years.

Also, AI and Ml can optimize the search in the software to produce contextual and intuitive results. This makes the search more efficient and enhances user-experiences and engagement. AI and ML can provide a cognitive approach to the searches which can be helpful in grouping content or resources to provide intelligent and immediate results to the queries.

  • User Behavior and Personalization

Machine Learning helps mobile apps in understanding search behavior, purchase history, user history and in turn predicting their preferences. These predictions along with factors like age, gender, location, search queries and usage-time drive the recommendations on applications. These personalized recommendations ensure that the users find the app engaging. Some of the best recommender systems are used by YouTube and Netflix.

ML also helps marketers in understanding user preferences and purchase patterns. It has the ability to group the users according to the data collected. The user data can be used to determine the target audience, their requirements, their budget, etc. Structuring clients and strategizing the right approach to cater to their needs can drive explosive growth.

  • Real-time Data Collection and Processing

Artificial Intelligence lets devices communicate with each other. This is why it can be helpful in collecting real-time data and processing that data. Applications can thus provide higher levels of precision with data getting updated in real-time. Real-time data is also very helpful in IoT systems.

When a 5G rollout happens, the problems of latency and speed will become matters of the past. This means that the network of machines and devices that IoT promises will finally be able to be established. Artificial Intelligence will play a crucial role in setting up this network. AI will be helpful in providing the real-time feedback data across the devices which is necessary for them to function on their own.

  • Better Subject and Voice Recognition

AI and ML have made it possible for developers and smartphone manufacturers to make interfaces which can detect objects and scenes in the camera like food, landscapes, etc. Some camera applications also have the ability to tweak the settings to the optimum for better captures. An improved recognition has also led to smart and secure face unlocks. Similarly, voice recognition systems are also constantly learning and getting more cognitive with the help of AI.

  • Security

Many apps make use of device sensors enabled with AI functions to determine the essential security functions within the application. With the help of Machine Learning, behavioral analytics can be used to determine whether the action within the application should be authenticated or not. Other factors like device location history can also be taken into account while performing the analysis to increase the level of security.

In conclusion, AI and Ml have brought many developments in software and mobile applications. They have ensured that the users get personalized user experience and find the applications more engaging. Intuitive and contextual searches have made sure that users get intelligent and accurate results. Efficient voice and subject recognition have also made mobile apps and software more convenient.

How SpinePOB and SpineHRM Mobile Application is helpful to run business smoothly in COVID-19 period

The COVID-19 pandemic has brought on unprecedented times for the entire world. The earth has come to a halt, beaches, movie theatres, malls, schools, and gyms are all closed, and no one knows when they will reopen, or when the world will return back to normal. In these tough and testing times, the way we live and work has been altered- since most offices and businesses are now being run remotely, from the comfort of home sweet home, IT and technology solutions have stepped up to the plate in order to bring the world together and keep businesses running.

Spine- bringing the world closer in times of hardship

Mobile applications have become the lifeblood of businesses and companies in these trying times. Spine’s premier mobile applications, SpinePOB, and SpineHRM, are all about offering the most complete order booking and HR management experience right from your mobile app, so that you can stay safe inside your home, and get your work done at the same time.

Offering the whole plethora of features that are needed for any business, Spine’s mobile apps are designed to help you conduct your operations smoothly, while making the best efforts to keep you and your loved ones safe. COVID-19 has forced the world to come up with new and innovative ways of living life, and doing business, and Spine is surely doing its part.

SpinePOB- Pen Order Booking mobile app

Service, order, and purchase management are tasks that are often delegated to sales forces to complete in their off-schedule time. Because of the current world situation, sales forces are already making innovative efforts to service clients while maintaining social distancing norms, therefore, the added burden of order and purchase management will only cause trouble for both employees and clients.

SpinePOB is a Pen Order Booking mobile app that automates your point of business management tasks, such as service and order purchase management, purchase tracking, order shipping statuses, and much more. With increased restrictions on the points of contact and strict advisories on physical distancing, SpinePOB helps execute all order management tasks from a single console, made available to you and your employees through the mobile application. Staying safe and going about your business was never as easy as this!

Here are some core features of SpinePOB that make it a boon for businesses during these tough times.

  • Order Booking. Point of business management tasks begin with order booking at the forefront, since it is perhaps the most crucial task of them all. Making it simple, effective, and efficient, SpinePOB automates the order booking process, helping your sales teams and clients to reduce points of contact, and even delegating human resources to other tasks that cannot be achieved without human intervention.
  • Order and dispatch status. Under normal circumstances, executives might go down to the warehouse every now and then to keep a check on the order and dispatch statuses of shipments. With SpinePOB, the need for physical updates on order statuses is eliminated, with a centralized dashboard offering order dispatch and shipment updates for all your orders. Payment status of orders can also be viewed from this very dashboard, making it incredibly effective and efficient, and, it goes without saying, safe!

SpineHRM- Human Resource Management application

When it comes to HR management, it is often considered to be a job solely for the HR executive to carry out on their own. If employees have problems or feedback, all they need to do is pop into the HR executive’s office, have a chat, and settle all problems! Unfortunately, with offices on hold all around the world, a remote HR management solution is needed. Even though employees are working from home, a business still needs to manage its human resources!

SpineHRM offers core HR and employee management functionalities from a simple and easy to use mobile application. With mobile app clients for employees and HR executives, HR management is made incredibly simple and effective. Trust us, your HR executives will thank you for implementing SpineHRM, especially during this pandemic, because the whole world needs all the help that it can get!

Some standout features of SpineHRM that make it an incredible tool to have in your arsenal-

  • With employees working from home, spontaneous communication, reminders and alerts are much-needed, and emails just don’t cut it. With SpineHRM, you can streamline this process with mobile app-enabled push notifications, reminders, and alerts for daily tasks.
  • Leave and attendance management becomes a breeze with SpineHRM mobile platform, since all that employees need to do now is tap a button on their phone screens!
  • Payroll management is another important task that SpineHRM helps to achieve in a seamless manner. In these trying times, the least a business can do for their employees is to keep an up to date payroll.

With the world in a time of crisis, technology steps up to the plate. A mix of innovation and creativity leads to solutions that help keep the wheels of the world turning, and Spine is definitely contributing with SpinePOB and SpineHRM mobile platforms, helping businesses stay in business, and stay safe.

Key Highlights on Budget 2020: Expert Assessment

The Finance Minister of India, Nirmala Sitharaman, presented the Union Budget for the term 2020-21 in the Lok Sabha. This is the 2nd budget after the National Democratic Alliance came to power for a second term. The Budget 2020 has focussed on three main points – Aspirational India, Economic Development, and a caring society.

Sitharaman proposed a new option personal income tax system. She also announced multi-billion-dollar farm, infra, and a healthcare package to revive growth in the country. Let us have a look at some of the key takeaways and highlights of the 90th Union Budget presented by Nirmala Sitharaman.

Highlights of Budget 2020-21

We also call the Union budget as the Annual Financial Statement. The key highlights of the Annual Financial Statement of 2020 are mentioned below.

Everything about new income tax slabs

In the 90th Union Budget, Nirmala proposed a new set of income tax rates for the section of people earning up to 15 lakh a year.

Under that, she proposed a 10 percent tax on income between 5 lakhs and 7.5 lakhs from 20 percent now.

For the income between 7.5 lakhs to 10 lakhs a year, people will pay a tax of 15 percent. The income tax has been reduced from 30 percent to 20 percent for the people having income between 10 lakhs to 12.5 lakhs a year.

The people who are earning 12.5 lakhs to 15 lakhs annually are required to pay a tax of 25 percent. And lastly, the people who are earning over 15 lakhs annually would continue to pay at the rate of 30 percent.

This new tax regime is optional and it is the taxpayer’s choice to opt for the structure that is beneficial for him.

Moving on to Investment

The government is planning to sell part of its holding in LIC by way of Initial Public Offering. Some categories of government securities will be open fully for NRIs, along with being open to domestic investors.

The FPI limit in the corporate bonds raised to 15 percent from 9 percent.

The budget proposed the divestment target to be doubled for the next fiscal at Rs. 2.1 lakh crore.

Changes in the Indirect Tax

For footwear, the custom duty has been raised from 25 percent to 35 percent. In case of furniture, it is increase to 25 percent from 20 percent.

The excise duty got a raise on Cigarettes and other tobacco products. However, no change has been made in the excise duty rates of bidis.

The basic custom duty on import of news print as well as light-weighted coated paper is decreased to 5 percent (earlier it was 10 percent). On the imports of medical devices (except those exempts from BCD) will face 5 percent health cess.

For traders, too, there have been a lot of things that will be changed. So get ready, your business might need updates in your GST billing software!

Lower custom duty rates on products such as fuse, chemicals, and plastics. While the products like auto-parts, chemicals, etc. which are also being made domestically, will face higher custom duty rates.


The government has proposed certain steps for the MSMEs. We will see amendments to Factor Regulation Act, 2011.

Changes will be made to enable NBFCs to extend invoice financing to MSMEs. The budget proposed a provision of subordinated debt for MSMEs by Banks. This debt would be counted as quasi-equity.

App-based financing loans to be presented to prevent the problem of late payments and cash flow mismatches for MSMEs.

The Power Sector

Sitharaman proposed an amount of ₹273 billion ($3.84 billion) for promotion of industry and commerce.

They have also asked the organization using old thermal power plants to shut units if emission norms are not met.

An amount of ₹44 billion ($619.11 million) for clean air incentives in cities with over 1 million people is allocated in the budget 2020.

Moving on to Education Sector

The Finance Minister of India announced around 150 higher educational institutes to begin the apprenticeship embedded courses.

The budget also proposed special bridge courses to enhance the skill sets of the individuals who are seeking employment outside India.

Apart from that, the In-SAT exam will be conducted in Africa and Asia under study in India programme.

An amount of Rs. 99,300 crores is allocated for the educational sector in the 90th Union Budget. Along with that, Rs. 3,000 crores are allocated for the skill development.

Simplified return for GST

The start-ups having a turn-over of up to Rs. 100 crores will get 100% deduction for 3 consecutive assessment years out of 10 years.

Also, the turnover threshold for audit of MSMEs to be increased from Rs 1 crore to Rs 5 crore.

Changes will be made to enable NBFCs to extend invoice financing to MSMEs. The nominal GDP growth for the term 2020-2021 is estimated at 10 percent.

Let’s talk about economic development

The budget proposed an Investment Clearance Cell to offer end-to-end facilitation and support.

Apart from that, 5 new smart cities have been proposed to be developed. The National Technical Textiles Mission to be implement with the objective of positioning India as a global leader in Technical Textiles.

The NIRVIK Scheme has the aim to achieve higher exposure credit disbursement.

The turnover of Government e-Marketplace (GeM) is asked to be taken to Rs. 3 lakh crores. A scheme will be launched to revise duties and taxes on exported products.

The Dividend Distribution Tax will be removed and it will be applicable to the individual investors only.

People will see an increase in the customs duty on gold as well as other precious metals to 12.4 percent. However, customs duty on platinum and palladium cut to 7.5% from 12.5% for certain purposes.

The following announcements have been made:

  • Indian Institution of Heritage and Conservation
  • Five archaeological sites as iconic sites.
  • Museum on Numismatics and Trade
  • Tribal Museum in Ranchi
  • Maritime Museum in Lothal

The NIRVIK scheme has the objective of achieving higher exposure credit disbursement. It also offers higher insurance coverage. This scheme is expected to support export of around Rs. 30 lakh crores in 5 years.

Out of the total amount of Rs. 30, 42, 230, Healthcare sector is proposed with an amount of Rs. 67, 484, Defence with Rs. 3, 23, 053, and IT and Telecom sector with Rs. 59, 349.

We will observe a robust mechanism that will monitor and ensure the health of all the scheduled commercial banks and depositors’ money is absolutely safe.