Organizations expect a productivity boost ranging from 10 to 40 per cent by introducing AI, including generative AI. It is imperative for the companies to become AI ready for this. Very few organisations are ready for AI adoption.

The key requirements for AI adoption are — talent, strategy, governance, data and technology.

The pre-requisites for AI implementation are ML capabilities, pre-built algorithms and dynamic compute.

The data accuracy and accessibity are significant challenges.

There should be AI strategy that aligns business objectives and strategy.

The governance part consists of management of risks such as bias, misuse and security threats.

There is a need to upskill the workforce.

It is necessary to have a scalable and robust foundation. This must be supplemented by an AI foundry and factory model to scale up AI initiatives across the enterprise.