The IMF predicts that more Indians will use AI every day than in any other country in the world before the end of this decade, due to three main reasons: India needs it, India is ready for it, and India will do it.
Aside from the socioeconomic benefits AI is set to deliver, the transformative tech revolution is also going to have a massive impact on the productivity of key Indian sectors.
For example, GenAI has the ability to boost retail productivity by 35 to 37 percent within the next five years, according to an EY India report. The efficiency gains are set to come from improvements to operational areas such as the supply chain, procurement, and quality management.
It’s also set to boost the productivity of India’s $254-billion IT industry by 43%-45% over the next five years.
In order to drive this AI revolution forward and help India drive innovation and economic growth across various sectors, some fundamental challenges facing the software development industry must first be addressed.
How to bring the benefits of AI to India
Companies that are first off the mark with new products and features stand to gain significant competitive advantage in the marketplace. While other countries have led the pack when it comes to creating novel AI tools, India has a chance to shine when it comes to implementation.
Its thriving industries and large population offer ideal, real-world opportunities to apply AI and unlock the predicted efficiency gains. However, this hinges on an ability to develop and release specific software applications ahead of the curve.
The rise of cloud architectures, microservices, citizen developers and GenAI add so many moving parts to the mix that productivity across the entire development cycle is increasingly hard to control. While one part of the team may be able to work efficiently, modern software products need to interact within an active digital environment.
This has led to a significant decrease in how quickly software release cycles can be completed without compromising on quality. The complex nature of today’s software engineering industry means that individual productivity methodologies such as Kanban or Agile offer limited impact.
What’s more, the introduction of low code/no code platforms can also increase the likelihood that security risks creep into products, undermining the quality and integrity of the final application and usability of the AI solution.
For India, overcoming this challenge means that AI can benefit its economy and support its growing population.
Ness Digital Engineering (Ness), a global full-service life cycle company with innovation hubs in the US, Eastern Europe, and India, is spearheading a new approach that aims to address the challenges outlined here and create a big impact within the software development industry.
This approach is known as Intelligent Engineering.
Increasing software development velocity with Intelligent Engineering
Dr. Ranjit Tinaikar, CEO at Ness Digital Engineering, has over 30 years of experience in the technology services sector and has built a distinguished career driving growth and innovation across global businesses. He earlier founded the Lean Software Development practice at McKinsey, where he led initiatives to streamline engineering processes and improve efficiency.
This commitment to improvement within software engineering has been taken forward at Ness, where Dr. Tinaikar has spearheaded the ‘Intelligent Engineering’ approach for the company that sets it apart from its competitors.
Intelligent Engineering leverages the power of data, AI, and intelligence to improve engineering productivity and eliminate waste within software development cycles.
Ness leverages a proprietary system known as Matrix in order to conduct a comprehensive performance analysis across KPIs such as code coverage, bug management or sprint stability. An analysis of Ness accounts using this system found that 62% were able to achieve high performance and high speed without compromising product quality.
It’s an approach that’s made possible thanks to the unprecedented level of insight afforded by end-to-end data analysis that allows Ness to get to the root cause of performance issues across complex development pipelines. In this way, data-driven actions can be taken to realize immediate improvements to overall rates of velocity.
Intelligent Engineering combines the benefits of these existing methodologies and understands where they can be used most effectively. This is because the framework offers a “meta” approach, one which looks at the entire product lifecycle and chooses from any number of ways to improve productivity based on the data.
For this reason, Intelligent Engineering doesn’t offer any single solution but instead champions a mindset of constant improvements based on the current and exact performance outputs of software development teams across the release cycle.
India’s AI revolution
The Intelligent Engineering approach has already helped Ness drive efficiency and productivity by eliminating waste across its software engineering projects.
For India, this approach can not only help industries such as retail and IT unlock size-able growth opportunities, but also stimulate economic growth and competitiveness to support the booming population and deep talent pool in the country.
Featured photo of Dr. Ranjit Tinaikar
