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The Entropy Podcast
Nibble Knowledge is delighted to bring you "The Entropy Podcast"—hosted by Francis Gorman.
The Entropy Podcast centers on cybersecurity, technology, and business, featuring conversations with accomplished professionals who share real-world knowledge and experience. Our goal is simple: to leave you better informed and inspired after every episode.
We chose the name “Entropy” because it symbolizes the constant flux and unpredictability in cybersecurity, technology, and business. By understanding the forces that drive change and “disorder,” we can create better strategies to adapt and thrive in an ever-evolving technology and geo political landscape.
You can also check out our YouTube Channel here: https://youtube.com/@nibbleknowledge-v7l?feature=shared
Disclaimer: The views and opinions expressed on all episodes of this podcast are solely those of the host and guests, based on personal experiences. They do not represent facts and are not intended to defame or harm any individual or business. Listeners are encouraged to form their own opinions.
Please note: Some episodes may have varying audio quality due to the challenges of remote recording and occasional environmental factors.
We apologies if this occurs as we strive to keep audio at an optimal quality.
The Entropy Podcast
Architecting the AI-Ready Enterprise with Thomas Squeo
In this episode of the Entropy Podcast, host Francis Gorman speaks with Thomas Squeo, CTO of ThoughtWorks, about the intersection of customer demand, technology strategy, and delivery in the context of AI adoption. They discuss the risks associated with rushing into AI without a strategic plan, the importance of governance and observability in AI systems, and the evolving role of knowledge workers in an AI-driven landscape. Thomas emphasizes the need for organizations to balance innovation with responsible deployment and regulatory compliance.
Takeaways
- AI is central to enterprise strategy and delivery.
- Organizations often rush into AI without a clear strategy.
- Effective AI adoption requires controls, evaluations, and budgets.
- The hype around AI often exceeds the reality of its implementation.
- Governance and observability are crucial for AI systems.
- Knowledge workers will evolve rather than be replaced by AI.
- AI can enhance productivity in knowledge work environments.
- Regulation can support responsible AI innovation.
- Organizations need to adapt to regulatory environments in AI deployment.
- Successful AI initiatives often come from a combination of top-down and bottom-up approaches.
Sound Bites
- "Deploy controls, evals and budgets."
- "POC purgatory participants."
- "Regulation is a mechanism for trust."
