Daniel Kraft, physician-scientist and founder of NextMed Health, joins Domino’s Chris McSpiritt to discuss how AI, data convergence, and systems thinking are accelerating healthcare’s shift from reactive treatment to proactive, personalized care. With a background spanning regenerative therapies, digital health, and aerospace medicine, Daniel offers a wide-lens view of the challenges and opportunities shaping the next era of clinical innovation. From the limitations of “sick care” to the promise of personalized poly-pills and AI-powered digital twins, this conversation explores how to unlock proactive, personalized, and accessible healthcare at scale.

Join us as we discuss:

• How exponential tech is enabling predictive, preventative care and what’s slowing it down
• Why “data-to-action” is the next frontier for AI in life sciences
• What data scientists and tech teams can do now to drive clinical impact

Get more of Daniel’s insights at DanielKraftMD.net.

As organizations race to become AI-driven, data has emerged not just as a resource, but as a strategic advantage. In this episode, Kjell Carlsson sits down with Doug Laney, author of Infonomics and Data Juice, to explore how generative AI is accelerating the journey toward data monetization and organizational autonomy. Doug shares why traditional approaches to data management no longer suffice, how digital twins and agentic AI are redefining business models, and why the future may belong to self-driving organizations.

Tune in to hear:

• How AI is reshaping the economics of data and enabling new business models
• Why organizations should embrace agentic AI and digital twins to stay competitive
• What leaders must do today to build autonomous, AI-native enterprises

AI strategy isn't just about technology. It's about transformation.

In this episode, CDAO expert, Dr. Shahram Ebadollahi, joins to discuss what it takes to lead AI in an enterprise and why that leadership must go far beyond just selecting the right tools or models. Drawing on his experience building AI teams, Shahram explains why the Chief AI Officer role is one of the most complex, and most critical, positions in modern organizations. Here we talk about the cultural, organizational, and strategic shifts needed to embed AI deeply and responsibly, and how to move from experimentation to value delivery at scale.

Whether you're leading AI or supporting it, this conversation offers a clear-eyed view of what success really requires.

Tune in to hear:

• Why the Chief AI Officer must balance tech depth with business vision
• How to structure teams and incentives for lasting AI success
• How to move from AI experimentation to real business impact

What does the global race for AI look like? How has the US Department of Defense been adopting AI by engaging the private sector? And how should we expect AI policy to shift under the new administration?  

In this episode – the last in our series on the future of AI – guest host Joel Meyer, President of Public Sector at Domino, sits down with General Jack Shanahan (Ret.) former Director of the Joint Artificial Intelligence Center at the U.S. Department of Defense, and Lauren Bedula, Managing Director at Beacon Global Strategies.

Join us as we explore:

• How the U.S. Department of Defense is accelerating AI adoption
• The global AI race: U.S., China, and allies
• AI policy shifts under the new U.S. administration
• Predictions for AI in the Public Sector for 2025 and beyond

Also, hear more of Lauren’s thoughts on national security and tech innovation on the Building the Base podcast.

• The pressure to shift from experimentation to production
• Breaking down the data, infrastructure and organizational silos
• Best practices for tackling governance, security and cost challenges
• Examples of AI efficiency gains in healthcare, pharma, and beyond

• The "silent revolution" of AI in finance
• Unlocking the potential of unstructured data
• AI governance for innovation and regulatory compliance
• Strategies for driving AI adoption
• Top predictions for AI in 2025 in FSI

• How AI will drive the majority of new drug discoveries
• The role of AI in clinical trials
• The growing need for pharma companies to adopt a tech company mindset
• The impact of AI-driven automation on regulatory compliance and reporting

• The evolution of AI governance and why it has become a top priority for AI teams
• Frameworks and practices for identifying and managing AI risk 
• The growing importance of automation for effective governance
• Fairness, business, and other metrics for AI governance
• How to govern an Agentic AI future