AI or Die Podcast

On this episode, we welcome Bhavna Mehta, Assistant Vice President of Data and Analytics at Cincinnati Children’s Hospital Medical Center. Bhavna leads initiatives in data governance, AI governance, analytics, and business intelligence, leveraging her technical expertise and strategic insight to bridge the gap between innovation and practical implementation in healthcare.

We explore the critical role of AI ethics and governance in healthcare, focusing on explainability, trustworthiness, and alignment with organizational values. Additionally, we discuss how fostering a culture of data-driven innovation empowers organizations to adopt AI responsibly and effectively. Finally, we examine the transformative potential of AI when strategically aligned with priorities like improving patient care, reducing clinician burnout, and accelerating research impact.

Bhavna Mehta

This week, our hosts Nick Woo, Rehgan Bleile, and Brendan Kelly return for a special Q&A episode, addressing listener questions about AI adoption and governance in large enterprises. They explore how organizations balance AI innovation with practical implementation, focusing on integrating AI into existing systems while managing data privacy and security.

The hosts dive into how enterprises can approach AI use case prioritization, weighing internal applications against more complex, customer-facing solutions. They also discuss the shift from building AI in-house to purchasing specialized solutions for greater efficiency. Additionally, they highlight the critical role of governance, including AI Centers of Excellence (COEs) and committees, in overseeing and guiding AI initiatives.

This week, our hosts Rehgan Bleile (Avon), Nick Woo, and Brendan Kelly discuss the latest in AI, including AI regulation, synthetic data, and risk management. We discuss the push for watermarking AI-generated content to increase transparency and the challenges of enforcing these regulations. We then cover the risks of using synthetic data repeatedly for training, which can lead to a decline in AI model accuracy and reliability over time.

We also dive into how organizations are setting up AI Centers of Excellence (COEs) and councils to better manage AI initiatives and navigate the balance between innovation and risk. Additionally, we explore a shift from large, general-purpose models to smaller, specialized models that are better suited for specific tasks.

On this episode, we welcome Kathy Koontz, who currently serves as the Global Head HCLS Data & AI at AWS. Her career includes significant roles at Nationwide, Teradata, and Wells Fargo, where she has focused on embedding core data practices into organizational frameworks.

During this episode, we dive into Kathy's expertise, gaining valuable insights for integrating core data fundamentals and practices. We explore how change management is essential for effectively deploying AI across organizations. Additionally, Kathy highlights the significance of understanding the content and quality of unstructured data, explaining that this knowledge is essential for accurately representing and achieving successful business outcomes.

Kathy Koontz

This week, we are joined by Sharybeth Lopez Rojas, a User Experience (UX) designer with a unique background in visual design, graphics, and user interaction. Sharybeth is currently enhancing her portfolio by pursuing a master’s degree focused on design for AI.

During this episode, we discuss practical examples of AI-driven design improvements and the future of AI in enhancing user interactions. We explore how AI can help professionals become more efficient by automating routine tasks, allowing them to focus on more complex and creative aspects of their work. Additionally, we emphasize the importance of proper design and user experience in deploying AI tools within large enterprises, considering the diverse skill levels and needs of users.

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