What is the top operational challenge in enterprise AI?
The answers split between emphasizing data governance and quality, process and governance foundations, and the human or cultural aspects of adopting AI in enterprises.
7 answers
Answers


Anahita Tafvizi
Chief Data & AI Officer · Snowflake
Data Governance
Anahita Tafvizi says the real challenge is building the data foundation with unified governance and definitions, because without it AI will just scale your chaos across the company.
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Paul McDonagh-Smith
Visiting Senior Lecturer (IT Group and Executive Education) · Mit Sloan School Of Management
Cultural Inertia
Paul McDonagh-Smith says the operational challenge is cultural inertia, which he ties to large groups of people and processes continuing as they always have until something bad happens.
The answer starts at 1:00.
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Conny Ploth
AI Transformation Vice President, Global Data & AI · Santander
Fix the Process First
Conny Ploth says that rather than putting an AI layer on top of a messy process, companies really need to fix the process first, because otherwise AI just speeds up the inefficiencies without resolving them at their root cause.
The answer starts at 4:45.
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Amol Mathur
Co-Founder & CPO · Dash Security
Governance Challenge
Amol Mathur says the challenge is governance, because with fragmented AI tools you don't know how data crosses trust boundaries or what risks agentic technologies bring.
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Scot Burdette
Global Division CIO, Measurement and Analytics · Abb
People Adoption
Scot Burdette says the biggest thing is people adoption, because transformation is more about people than technology and people determine how change succeeds.
The AI in Business Podcast · The AI in Business Podcast · Listen at 21:44

Sam Pierson
Chief Technology Officer · Qlik
Reliable, High‑Quality Data
Sam Pierson says the number one operational challenge is having a data foundation that is quantifiably reliable and high quality.
Data Faces Podcast · Data Faces Podcast · Listen at 8:12

Muralidhar Vemulapalli
Chief Enterprise Architect/ Acting CTO · Arkansas Blue Cross And Blue Shield
Explainability and Auditability
Muralidhar Vemulapalli says the most important thing is explainability and auditability, requiring transparency, traceable outputs with complete lineage and supporting reasoning, because large LLMs' decision models are not always clear.
CDO Magazine Podcast Series · CDO Magazine Podcast Series · Listen at 7:37
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