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- Indexed episodes, last 90 days
- 3
- Latest publication
- Sep 1, 2026
- Audience
- Checking…
- Earliest in this view
- Aug 14, 2026
Latest episodes
The AI Monopoly Risk: Why Digital Sovereignty Requires Model Neutrality (opens the original)
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(00:00:00) The AI Monopoly Risk: Why Digital Sovereignty Requires Model Neutrality (00:01:43) Why LLM Agnosticism Matters (00:02:04) Anthropic Government Restrictions (00:04:48) Anthropic vs. Defense Department (00:06:44) When Vendors Pull Out (00:08:34) Alternatives to Anthropic (00:09:26) Three LLM Challenges - Oligopoly, Cost, Performance (00:15:23) Key Takeaways: LLM Neutrality (00:16:30) Avoiding Vendor Lock-In (00:19:38) Data Architecture for LLM Switching (00:21:01) Benefits of Model Neut
The True ROI of AI: From the Cost of Intelligence to the value of Business Outcomes (opens the original)
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(00:00:00) Introduction: Errol Rodericks, Director of Product Marketing at Denodo (00:01:07) The ROI Equation (00:08:16) The "Focused AI" Framework (00:10:11) Return of Active Context (00:15:55) The 6 Levels of AI Economics (00:23:31) Summary / Conclusion Welcome to another episode of AI Data Bites (Powered by Denodo). As enterprise AI rapidly matures, leaders face a crucial turning point: reducing the cost of running AI is not the same as proving its true return on investment. In Part 2 of our
Lower Cost, Higher Trust: The New Economics of Agentic AI (opens the original)
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(00:00:00) Introduction - Dominic Sartorio, VP of Product Marketing at Denodo (00:02:03) The Token Economics Challenge (00:04:26) Overcoming Enterprise Data Complexity & "Token Taxes" (00:09:21) Hidden token costs within enterprise data (00:11:32) Avoiding "MCP Sprawl" (00:17:40) Modeling Up to 85% Token Reduction (00:29:04) Conclusion - Additional advice for reducing unnecessary token usage Welcome to another episode of As AI rapidly moves beyond simple chatbots into autonomous agents that reas
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