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.

    New York Stock Exchange · Watch on YouTube
  • 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.

    The AI Forecast: Data and AI in the Cloud Era · Listen on Apple Podcasts
  • 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.

    Marketer of the Month · Listen on Apple Podcasts
  • 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.

    SiliconANGLE theCUBE · Watch on YouTube
  • 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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