When Cindy Tu first stepped onto a conference stage, it wasn’t part of a long-term plan. It was a turning point. A single speaking invitation shifted her role from quietly reviewing AI systems to actively shaping how governance is practiced across financial services. With a background spanning IT, data, and audit, Cindy brought a rare systems-level view to the table.

Now a rising voice in enterprise AI risk, she’s influencing how institutions think about oversight, how governance frameworks evolve, and why people are at the heart of successful implementation. Her perspective is informed not only by technical expertise, but by lived experience.

Cindy brings:

• How to frame governance as an enabler and not a gatekeeper
• Why third-party risk keeps rising as gen AI adoption accelerates
• How to flip governance from the “no” guys to the “yes” guys

When Shub Agarwal joined an early conversational AI startup, he was building products in uncharted territory with emerging technology few had heard of. By late 2019, Google and Meta were aggressively recruiting him. But a sudden personal loss made him rethink his priorities, leadership, and the impact he wanted to create.

From fast-growth startups to a financial regulator, he's codified a nine-step AI product framework, teaches at USC, and developed practical approaches to trust, governance, and AI agents in organizations. His story reflects intentional leadership in a rapidly evolving field.

You’ll hear:

1. How leaders should think about AI agents as part of their teams and workflows
2. Why stepping back at key moments makes you a better leader
3. How to evaluate AI systems beyond performance metrics

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.