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GCC-startup collaboration with academia will drive AI adoption

DataQuest

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April 2025

In an engaging session at the Dataquest Digital Leadership Conclave & 32nd ICT Business Awards Jaspreet Singh, delivered a thought-provoking keynote address on India and the AI Revolution.

- By Preeti Anand

GCC-startup collaboration with academia will drive AI adoption

In an engaging session at the Dataquest Digital Leadership Conclave & 32nd ICT Business Awards in the opening note AI and economy, Jaspreet Singh, Partner and LeaderCyber Security, GCCs, Grant Thornton Bharat LLP delivered a thought-provoking keynote address on India and the AI Revolution.

Today, the tools that serve as business in the digital world are not without their own technology. Disruptive technologies such as artificial intelligence (AI), machine learning and cloud computing are redefining how businesses operate, and being constantly created every 10 seconds, there is a new enterprise app emerging. In the coming years, as we move towards 2025 onward, the Chief Information Officer (CIO) is being elevated to a new and critical role, as the impacts of external technology forces increasingly impact that strategy and how we use it, both for business advantage.

THE TRADITIONAL CIO ROLE:

KEEPING THE BUSINESS RUNNING

Previously, the CIO's role was primarily to run IT as a commodity, maintaining the IT systems, and keeping business processes in motion. Their agenda was defined by:

• A process/product-focused approach to IT delivery

• Limited interoperability means partially integrated systems.

• Business services defining IT-service offerings

• IT acting as a support function for omnichannel marketing

But in an age when digital transformation is the main engine of business growth, this model no longer is adequate.

STRATEGIC POSITIONING:

THE FUTURE OF AI-DRIVEN ENTERPRISES

For CIOs to successfully lead their organizations into the AI revolution, they must focus on five key pillars:

1. Data: The New Oil

Data is the fuel driving AI and digital transformation. However, organizations need the right infrastructure-the "engine"-to process, analyze, and derive value from it.

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