As reported in the media, Infosys, India has developed 250 apps of generative AI for being used in enterprises.

Tech Mahindra is using generative AI to code faster. One such area that has adopted generative AI-based coding is pair programming. This is a software development technique in which two programmers work simultaneously at one workstation. The driver programmer writes the code, and the observer or navigator reviews each line of code. They switch the roles frequently. It is a part of agile software development. AI can be leveraged in pair programming. AI can provide code suggestions and autocompletion. It speeds up the process. AI tools can detect real-time errors. AI can review the code and assure quality. AI can generate documentation for the code. AI can provide feedback. AI become a collaborative tool.

Another area where AI is leveraged is operations or production. AI can be infused into the technology stack.

AI is being infused into applications and business processes. It can facilitate onboarding process of manpower.

IT companies are hiring AI engineers and prompt engineers. The existing staff too is being upskilled in AI and generative AI.

IT companies focus on the BFSI sector (banking, financial services and insurance). They have developed new use cases in financial services. There are models of fraud detection, know-your-business (KYB).

There should be enterprise-wide reinvention across three pillars — data and technology, processes and people and a responsible AI framework.

Accenture has developed a range of generative AI use cases.

While navigating the shift, there should be continuous learning and adaptation and reskilling of the workforce. Only 5 per cent of organizations are actively reskilling their workforce on generative AI.