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AI Change Management

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Manage episode 483792608 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://ppacc.player.fm/legal.

In today’s "Trustworthy AI: De-Risking AI Adoption" episode, Pamela Gupta, the host and Amii Barnard Bahn explore a critical — yet often overlooked — factor for successful AI adoption: change management. As organizations race to implement AI solutions, many stumble not because of the technology itself, but due to resistance from people, unclear roles, and a lack of readiness to shift the way work is done.

Drawing insights from leading practices, we’ll discuss how building trust, creating shared understanding, and preparing your workforce can be the difference between AI hype and AI impact. Let’s talk about why change management isn’t just an add-on — it’s the engine that drives sustainable AI transformation .

Amii Barnard Bahn is a contributor at Harvard Business Review. Amii has shaped company culture and strategy at global companies such as McKesson and Allianz in multiple roles (CAO, Chief Compliance Officer, and Chief Human Resources Officer). Her expertise reinforced a powerful truth: AI transformation is not just a technological journey — it’s a leadership challenge.

To the executives listening — your role is pivotal. The success of AI in your organization hinges not just on tools and algorithms, but on your ability to communicate a vision, empower people, and sustain trust through change. Change management isn’t a soft skill — it’s a strategic capability. And now more than ever, it’s your competitive edge.

If you found today’s episode valuable, share it with your leadership team. And don’t forget to subscribe for more conversations with the experts shaping responsible and resilient AI futures.

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

36 episodes

Artwork
iconShare
 
Manage episode 483792608 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://ppacc.player.fm/legal.

In today’s "Trustworthy AI: De-Risking AI Adoption" episode, Pamela Gupta, the host and Amii Barnard Bahn explore a critical — yet often overlooked — factor for successful AI adoption: change management. As organizations race to implement AI solutions, many stumble not because of the technology itself, but due to resistance from people, unclear roles, and a lack of readiness to shift the way work is done.

Drawing insights from leading practices, we’ll discuss how building trust, creating shared understanding, and preparing your workforce can be the difference between AI hype and AI impact. Let’s talk about why change management isn’t just an add-on — it’s the engine that drives sustainable AI transformation .

Amii Barnard Bahn is a contributor at Harvard Business Review. Amii has shaped company culture and strategy at global companies such as McKesson and Allianz in multiple roles (CAO, Chief Compliance Officer, and Chief Human Resources Officer). Her expertise reinforced a powerful truth: AI transformation is not just a technological journey — it’s a leadership challenge.

To the executives listening — your role is pivotal. The success of AI in your organization hinges not just on tools and algorithms, but on your ability to communicate a vision, empower people, and sustain trust through change. Change management isn’t a soft skill — it’s a strategic capability. And now more than ever, it’s your competitive edge.

If you found today’s episode valuable, share it with your leadership team. And don’t forget to subscribe for more conversations with the experts shaping responsible and resilient AI futures.

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

36 episodes

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