Rethinking your Data Strategy in 2026 and Beyond
“Embracing AI and GenAI has become a strategic imperative for organisations worldwide. Yet only a small fraction truly makes it beyond experimentation, an outcome reflected in some striking industry statistics.”
– Rushikesh Kulkarni COO, Edgematics Group.
What’s Changing in the Data & AI Ecosystem?
AI adoption is accelerating but results aren’t keeping pace. Across enterprises, initiatives that look promising on paper stall as hidden complexity, trust gaps, and ownership questions emerge. Insights from recent CDO roundtables suggest a deeper shift underway, one that’s quietly redefining what it really takes for data and AI to deliver impact. In this episode of Data Enablers, we explore the shifts beneath the surface that are redefining what it really takes for data and AI to deliver impact.
You’ll hear
- Why 2025 marked a turning point and why data and AI are non-negotiable from 2026 onward
- Why nearly 70% of AI and GenAI pilots fail to scale despite early promise
- How misalignment, operational friction, and fragmented data compound over time
- Why trusted data foundations and governance are critical enablers for AI
- How leading organisations unify, automate, and activate data to become truly data-driven
Along the way, we explore enterprise reality, covering governance, operating models, justifying ROI, and the growing accountability gap between businesses, technology teams, vendors, and systems integrators.
This is a conversation beyond tools. It’s about rethinking data strategy, ownership, and operating models in an era where AI depends entirely on trust, scale, and activation.
