From Data Chaos to AI Success: The Data Blueprint Behind Winning AI

2.30pm – 2.50pm IST, 13 October 2026 ‐ 20 mins

Vlad Siniavin, Senior Technical Account Manager, AWS

Gartner predicts 40% of AI-first projects will fail by 2027. Not because of the model, but the data foundation beneath it.

This technical session presents a practical blueprint for turning fragmented data estates into AI-ready platforms, drawing on patterns from enterprises who got it right and those who didn't. We explore why data quality and organisational readiness are the two gaps that derail most AI initiatives, and introduce a DataOps assessment framework spanning reliability, observability, governance, and feedback loops. Five actionable criteria for evaluating whether your infrastructure can support agentic AI at scale.

Whether you are building autonomous agents or simply trying to stop emailing customers who already bought the product, the answer starts with your data blueprint, not your model choice.

Speakers

Vlad Siniavin

Senior Technical Account Manager, AWS

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Vlad Siniavin

Senior Technical Account Manager, AWS

Vlad is a Sr. Technical Account Manager at AWS with over 15 years of experience in building innovative solutions, products and services. He is driven by delivering measurable outcomes for his customers – whether that’s reducing operational risk, optimising costs, or accelerating cloud adoption. He believes the best technical guidance starts with deeply understanding what matters most to the customer and acting in their best interest.