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Content provided by Pamela Gupta. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Pamela Gupta or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
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Deepseek - Innovation and why that matters

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Manage episode 463495671 series 3501747
Content provided by Pamela Gupta. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Pamela Gupta or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode of Trustworthy AI: De-Risk Adoption of AI, I hve taken the liberty of generating a analysis of the Deepseek V3 model that set the precedent for the newly released Deepseek-R1 model.
There are a lot of innovative points that are groundbreaking and important to understand such as Mixture of Experts (MOE), FP8, Expert Specialization and many more techniques that are genius.
Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AI’.?
With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

For questions or comments on this podcast reach out to me.

  continue reading

43 episodes

Artwork
iconShare
 
Manage episode 463495671 series 3501747
Content provided by Pamela Gupta. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Pamela Gupta or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode of Trustworthy AI: De-Risk Adoption of AI, I hve taken the liberty of generating a analysis of the Deepseek V3 model that set the precedent for the newly released Deepseek-R1 model.
There are a lot of innovative points that are groundbreaking and important to understand such as Mixture of Experts (MOE), FP8, Expert Specialization and many more techniques that are genius.
Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AI’.?
With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

For questions or comments on this podcast reach out to me.

  continue reading

43 episodes

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