ОТНОСТНО ТОЗИ ЕПИЗОД
Beth Hiatt, SVP of Product Management, Data Governance and Responsible AI, tells Jessie Smith, Chief Product Officer at Ataccama, that even flawless data quality cannot earn AI trust without the right business context. Hiatt also walks through why data stewardship is shifting away from manual human review and toward agents that handle metadata, quality checks and classification on their own.
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ТЪРСЕНЕ на МИНАЛИ ЕПИЗОДИ
Търсене в минали епизоди на CDO Magazine Podcast Series.
ДРУГИ ЕПИЗОДИ В ТОЗИ ПОДКАСТ
Tony Trim, Manufacturing Operations AI Leader at Eaton, tells Stephen Hooper, Senior Vice President of Operation Solutions at Autodesk, that most digital twins fail by trying to replicate an entire factory instead of solving one costly problem. Trim breaks down where digital twins actually generate…
Beth Hiatt, SVP of Product Management, Data Governance and Responsible AI at LPL Financial, tells Jessie Smith, Chief Product Officer at Ataccama, that AI without business context will not produce the results a company expects. Hiatt breaks down why the first 90 days of an AI program need the under…
Neil Cooke, Chief Data Officer for the State of Texas, tells Dr. Adita Karkera, Chief Data Officer, Government and Public at Deloitte, that leading a statewide data program depends less on technology and more on governance, communication and trust. Cooke walks through the shift into the interim CDO…
Kyle DuPont, Founder and CEO of DataXray (Ohalo), speaks with Maribeth Achterberg, CDO Magazine Editorial Board Member, about data loss prevention, zero trust, compliance, and the metadata foundation connecting security with data management. The conversation explores how regulated enterprises can p…
Tony Trim, Manufacturing Operations AI Leader at Eaton, speaks with Stephen Hooper, SVP Operations Solutions at Autodesk, that agentic AI in manufacturing only earns trust when its boundaries, interlocks, permissives and clear human authority are engineered in before it reaches the plant floor. Tri…
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