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Thomas H. Davenport
Enterprise AIAnalyticsKnowledge ManagementProcess InnovationAI Operating ModelHuman-AI Collaboration
About
Thomas H. Davenport is a professor at Babson College and a long-standing researcher and author on analytics, artificial intelligence, knowledge management and process innovation.
His work examines how organizations redesign management practices and operating models around enterprise AI and data-driven decision making.
Dataleo perspective
Enterprise AI should be measured through redesigned decisions, adoption and business outcomes—not the number of pilots or models deployed.
A durable AI operating model needs accountable owners, governed data, role changes and evidence that human-AI collaboration improves operational performance.
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