The Data & AI Engineering Business Unit Leader at Sigmoid believes beyond experimentation, the real AI payoff for Indian firms relies on a solid data bedrock, rigorous architecture, controlled expenses, and a strong business mandate.
Inside TAFE, AI isn't just optimizing factories, it's rewriting how a farmer decides, finances, and even rents versus buys, long before a salesperson ever gets involved.
AI agentic capabilities, higher developer productivity, GPU-led infrastructure growth, and the evolving role of ERP are forcing CIOs to rethink leadership, execution and business value creation.
BharatGen consortium member Aditya Maheshwari explains how Indian CIOs can adopt sovereign AI pragmatically, balance global and local models, and build capability without increasing risk.
Chander Khanduja, Group CIDO, Baxy Group, explains why CIOs should start with architecture, define only the data they truly need, and use a hybrid, value-led approach to AI, cloud, and governance.
Badar Afaq, CIO, KCT Group, provides insights on the data, governance, and leadership needed to move from AI experimentation to enterprise impact.
Tejasvi Addagada, Head of AI Governance at HDFC Bank, outlines the accuracy, security, and accountability thresholds the bank uses to trust AI in regulated processes.
