Get ready to rethink everything you know about AI governance

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FULL SHOW NOTES
https://podcast.nz365guy.com/597
Get ready to rethink everything you know about AI governance as we dive into the compelling world of chaos engineering in AI. Today's episode of the Ecosystem Show promises to challenge traditional mindsets and spotlight the innovative approaches necessary for managing AI-infused container apps and custom large language models (LLMs). Through real-world examples and ethical discussions, we tackle the complexities of governing non-deterministic AI solutions and emphasize the critical role of transparency and rigorous testing as dictated by the EU AI Act. We also grapple with the thorny issues of liability and accountability when AI-generated content goes awry.
In our next segment, we shine a spotlight on the indispensable role of good data and observability in AI and AIOps, with special insights from Alistair Pugin. You'll learn about the dangers of data exfiltration, the nuances between observability and monitoring, and the imperative for continuous improvement in an AI-driven landscape. As we navigate through the complexities of establishing AI standards in light of new regulations, like the European AI Act, we also delve into the evolving role of citizen developers and how they integrate into this fast-paced world of AI.
Finally, we explore the strategies individuals use to stay updated in the ever-evolving world of AI. From balancing busy jobs and personal lives to leveraging informal learning and engaging with knowledgeable colleagues, we uncover the various ways to keep pace with rapid technological advancements. We introduce "Napkin AI," a tool that transforms written content into visual diagrams, enhancing comprehension and presentations. Wrapping up, we emphasize the importance of retaining skilled low-code Power Platform professionals and dispel the misconception that citizen developers only need advanced Excel skills to succeed. Tune in for a demonstration of Napkin AI and insights into the exciting, yet complex, future of AI governance and collaboration.
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