As AI agents become embedded in everyday workflows — from healthcare diagnostics to financial services chatbots — the line between human and machine continues to blur. This panel brings together industry leaders to tackle the tough questions:

• How do we trust AI agents in high-risk environments?

• What are the new rules of ownership and accountability when autonomous systems act on data?

• Is AI replacing or enhancing the human workforce — and how do we keep the balance right?

We'll unpack how AI agents are evolving across sectors, debate whether the current LLM paradigm is enough, and explore the new guardrails needed to futureproof agentic AI — without losing control.

What does it mean to bring data to life? Does data take on a “LIFE” of its own, or must it be nurtured along the way? The challenge: turning raw data into valuable insights that drive action, innovation, and transformation. Although it has been said that exabytes of new information are generated daily, how much of it is meaningful? Does volume necessarily translate into value? What vision can we bring to bridge this gap? We must go beyond the surface, push the boundaries of what’s possible, and actively breathe LIFE into data to unlock its true potential.

But data’s value isn’t in the numbers alone; it's in the business decisions they inspire. In this session, we’ll explore four L.I.F.E. pillars of relevant data that will give your data meaning and impact. Blending left-brain logic with right-brain creativity, we’ll unlock powerful insights, drawing inspiration from a stunning example of data visualization ingenuity from the 1850s. This goes beyond answering questions you DO know to include exploring questions you DON'T know, turning obstacles into opportunities, and bringing data to life in a way that transforms your strategy. Are you ready to tap into the full potential of your data and drive real change in your organization? Your journey starts here.