ACERCA DE ESTE EPISODIO
In this episode of Control Alt Regulate, Neeraj sits down with Aakash, a seasoned expert in AI governance and ethics, to unpack the fast-evolving landscape of AI regulations, frameworks, and enterprise challenges.
Together, they dive deep into the importance of NIST's AI Risk Management Framework, the EU AI Act, and Gartner’s AI TRiSM model. Aakash shares valuable insights on how organizations can map, measure, and manage AI risks, why a unified AI governance platform is becoming essential, and what global trends in AI governance look like across the US, Europe, and Asia.
Tune in for a rich, open conversation full of real-world observations and practical advice for enterprises navigating the new frontier of responsible AI.
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Estados Unidos
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OTROS EPISODIOS EN ESTE PODCAST
In this episode of Ctrl + Alt + Regulate, we sit down with Morgan Templar, a leader in data governance and AI-driven enterprise solutions, to explore the evolving landscape of AI governance, ethical AI, and enterprise data strategies.We discuss the challenges enterprises face in implementing respon…
Podcast Description:
In this episode of Ctrl + Alt + Regulate, we sit down with Chad Sanderson, CEO and co-founder of Gable.ai, to explore the evolving landscape of data management, AI, and governance. Chad shares his insights on data contracts, AI-driven data quality, and the challenges of modern …
On a recent episode of Ctrl + Alt + Regulate, I had the incredible opportunity to sit down with Olivia Gambelin, a leading AI ethicist and responsible AI practitioner. Known for her work on ethics-by-design, her book Responsible AI, and the innovative Values Canvas framework, Olivia offered a maste…
In this conversation, Neeraj Sabharwal and Jeff Brittain discuss the current landscape of AI in enterprises, focusing on the challenges of adoption, the role of governance, and the integration of AI within organizations. They explore the balance between innovation and accountability, the evolving r…
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Gracias por ayudar a mantener actualizada la base de datos de podcasts.
