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AI is creating enormous new opportunities, but the expectations attached to those opportunities are rising just as fast.

At The AI House, the conversation goes beyond the hype to what it actually takes to build, fund, and scale companies in an AI-driven market. As this clip points out, today’s AI companies aren’t just competing for existing software budgets. They’re being valued on the promise of creating entirely new markets.

The conversation continues in Virginia.

Join us at The AI House at Agentic AI North America on October 7 in Reston, VA, where founders, builders, investors, and enterprise leaders will come together to explore what’s next for AI.

Learn more: https://hubs.li/Q04x4Kvg0

What if we stopped measuring AI by how much we use it and started measuring what it actually changes?

At The AI House, Jane Yip shares her take on one of enterprise AI’s biggest misconceptions: that more tokens, more usage, or bigger AI ambitions automatically mean more business value.

The conversation is shifting toward a more practical question: How does AI actually improve the workflows people use every day?

From bottom-up adoption to forward-deployed approaches, the next phase of enterprise AI will be defined by measurable impact, not just activity.

Watch the full conversation for Jane’s perspective on where enterprise AI is headed next.

Join us at an AI House near you: https://hubs.li/Q04v_Lnq0

Healthcare has been talking about AI for years. But patients are still filling out the same information over and over again.

At The AI House at Ai4, this conversation cut straight to one of healthcare’s biggest opportunities: using AI to reduce the everyday friction created by disconnected systems, repetitive paperwork, and information that still doesn’t move with the patient.

The technology is advancing quickly. The bigger question is how we use it to create a healthcare experience that actually feels more connected.

What’s one part of the healthcare experience you think AI should have fixed by now?

Join us at an AI House near you: https://hubs.li/Q04vHW9V0

What’s the biggest myth about AI right now? And where is the conversation headed next?

We asked at The AI House at Ai4.

In this interview, Naresh Kommula from McKesson shares where organizations are getting stuck today, what needs to change, and how the AI conversation could look very different just a few years from now.

Join us at an AI House near you: https://hubs.li/Q04vHFFB0

AI accuracy isn’t one-size-fits-all.

The level of accuracy that’s acceptable depends on what the AI is actually being asked to do.

Categorizing an email incorrectly is one thing. Getting the wrong answer in a customer-facing or business-critical interaction is something else entirely.

As organizations scale AI, defining the right threshold for each use case is just as important as the technology itself.

A great perspective from The AI House on why context matters when measuring AI performance.

Watch the keynote from Ai4: https://hubs.li/Q04v59YZ0

And join us at an AI House near you: https://hubs.li/Q04v6P8c0

KPMG

AI adoption is moving fast. Trust is not keeping pace.

At The AI House at Ai4, this conversation highlighted a challenge many organizations are facing: employees are excited to use AI, but low trust and unclear guardrails can lead to risky behavior, including the use of sensitive company information in external tools.

The opportunity isn’t just to accelerate AI adoption. It’s to build the trust, governance, and security needed to use it well.

Watch the full conversation: https://hubs.li/Q04v592N0

And join us at an AI House near you: https://hubs.li/Q04v5bbK0

KPMG