Shanthi Pudota

Senior Vice President, Chief Data and Analytics Officer Bank of Oklahoma

Agenda Day 1

9:30 AM PRESENTATION - Good Enough to Govern: Data Quality for Gen AI Without a 3-Year Clean-Up

Generative AI demands reliable data to power autonomous decision-making across key business processes – but waiting for perfect data quality creates a vicious cycle of stalled AI adoption and governance bottlenecks. Challenge the data perfection paralysis found in many highly regulated organizations, focusing instead on defining viable quality thresholds by use case while implementing policy-as-code, real time controls and shift-left accountability to embed quality where data originates.

• Hear how to effectively identify and define ‘fit for purpose’ data quality by business use case.

• Develop automated data validation at data entry points with risk matrices that flag quality issues before they cascade into AI hallucinations or poor decision-making.

• Eliminate central data quality bottlenecks by embedding accountability in product and operations teams through self-service monitoring dashboards and automated alerts.

Check out the incredible speaker line-up to see who will be joining Shanthi.

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