What is the most critical aspect of data management for AI?

Anahita Tafvizi

Chief Data & AI Officer · Snowflake

Data Governance

Anahita Tafvizi says the critical thing is data governance, arguing that without it AI can scale chaos and that governance and unified metric definitions ensure trusted answers and correct data access.

Carly Taylor

VP, Engineering (Concepts Lab) · Crunchyroll

Clean Data

Carly Taylor says keeping data clean is one of the fundamental truths in data that will always be true, listing it alongside understanding stakeholders rather than naming it the single most critical.

The answer starts at 5:37.

Deepak Seth

Director Analyst/Expert - Data, Analytics and Artificial Intelligence · Gartner

Data and Context Foundations

Deepak Seth says data and context are foundational for AI adoption, and that a telecom CIO's great value from AI resulted from strong data and context foundations laid first.

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Beth Hiatt

SVP|Product Management|Data Governance and Responsible AI @LPL Financial · Lpl Financial

Business Context

Beth Hiatt says business context is critical for AI adoption, because AI models need that context to operate and won't produce the expected results without it.

The answer starts at 11:06.

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Conny Ploth

AI Transformation Vice President, Global Data & AI · Santander

Good Data Foundations

Conny Ploth says good data foundations are the critical piece, arguing that if data and processes aren't well managed, organizations should sort their data out first before layering AI on top.

The answer starts at 7:02.

Ben Prescott

Head of AI Solutions, Digital Consulting · Trace3

Intake Processes

Ben Prescott recommends building an intake process around gathering demand for AI and what people want to use it for, so the business can start small and build a repeatable pattern.

Cal Al-Dhubaib

Head of AI and Data Science · Further

Governance

Cal Al-Dhubaib says governance, arguing organizations must approach the governance of AI tools in the right way and keep asking questions because controls around AI systems differ from traditional security.

Kevin W. Tung

Senior Partner · Interplay

Logging Mistakes

Kevin W. Tung says being diligent about logging mistakes and problems along the way is key for using AI to fix problems, since having AI provide solutions to logged mistakes gets closer to a perfect outcome.