Speaker in this video:
Parna Ghosh, President & Group CIO and Data Protection Officer, Uno Minda
Topic: AI-First vs AI-Led: What Separates Leaders from Experimenters?
Key Highlights:
[1] AI-first enterprises are redesigning workflows, governance, and operating models with intelligence embedded at the core rather than treating AI as an add-on.
[2] The biggest barrier to scale is the “pilot trap,” where siloed successes, fragmented investments, and unclear business KPIs prevent enterprise-wide value creation.
[3] Leading organizations are moving beyond PoCs and industrialising AI through clear ownership, integrated architectures, and measurable ROI frameworks.
[4] 2026 is emerging as India’s “pilot-to-performance” phase, with CIOs focusing on data readiness, governance, and disciplined value realization.
[5] AI initiatives are increasingly being linked to revenue growth, business resilience, and customer-centric outcomes instead of only cost optimization.
[6] The real differentiator is the ability to scale intelligence across the enterprise, enabling transformation in areas such as quality, procurement, and manufacturing operations.