Role of Trust in AI Data Strategy

In this episode  we talk with  Peter Cresse on data and AI. 

The importance of creating a AI data strategy with Trusted AI's Essential Pillars of Trustworthy AI, read about the pillars at trustedai.ai.

Trustworthy AI is shown by research at MIT Sloan Management research to  promote better business outcomes, including accelerated innovation. It helps businesses from potential risks down the road, particularly related to areas such as intellectual property, bias, data, cybersecurity and privacy.

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.