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Why Most Enterprise AI Investments Fail to Deliver ROI

Trisha Pillay speaks with Darin Patterson about why enterprise AI ROI continues to fall short, as organisations struggle with AI adoption failures, stalled pilots, and poor scaling strategies.

How the Mythos Era Is Reshaping the Future of the SOC How the Mythos Era Is Reshaping the Future of the SOC
Why Most Enterprise AI Investments Fail to Deliver ROI Why Most Enterprise AI Investments Fail to Deliver ROI
Can Your Observability Stack Handle 24/7 Agentic Query Volume? Can Your Observability Stack Handle 24/7 Agentic Query Volume?
Can Your Observability Stack Handle 24/7 Agentic Query Volume? Can Your Observability Stack Handle 24/7 Agentic Query Volume?
Why Most Enterprise AI Investments Fail to Deliver ROI Why Most Enterprise AI Investments Fail to Deliver ROI
How the Mythos Era Is Reshaping the Future of the SOC How the Mythos Era Is Reshaping the Future of the SOC
How Enterprise Data Architecture Must Evolve for the Age of AI How Enterprise Data Architecture Must Evolve for the Age of AI
Will AI Kill Policy-Based Data Security? Will AI Kill Policy-Based Data Security?

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Wayne Eckerson
Wayne Eckerson, President at Eckerson Group

Wayne Eckerson

President at Eckerson Group
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Debbie Reynolds, CEO and Chief Data Privacy Officer at Debbie Reynolds Consulting LLC

Debbie Reynolds

CEO and Chief Data Privacy Officer at Debbie Reynolds Consulting LLC
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Jeremy Strozer, Content Creator at The Good Enough Empire

Jeremy Strozer

Content Creator at The Good Enough Empire
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Tudor Galos, Senior Privacy Consultant at Tudor Galos Connsulting

Tudor Galos

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Warwick Ashford

Senior Analyst at KuppingerCole Analysts AG
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Read Data Strategy for Non-Profits
Wayne Eckerson, President at Eckerson Group
Wayne Eckerson Wayne Eckerson

Data Strategy for Non-Profits

data startegy for non profits

Non-profit organizations are more mission-driven, consensus-driven, and resource-constrained than commercial organizations. As a result, it’s imperative that non-profits develop a data strategy before plunging into building data solutions. It will save them time, money, and burnout in the long run.

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