Deanna Fuentes

Worth sharing this insightful Product Mastery Now episode featuring Nate Patel, where he explains how AI—drawing from MIT’s approach—can help product teams dramatically speed up idea validation. The discussion covers practical frameworks for reducing friction in early product discovery, simulating customer feedback, and generating actionable insights, all while keeping human judgment at the center of decision-making.

A valuable watch for product managers, founders, and innovation leaders exploring how AI can be applied responsibly and effectively in product development.

Dive deeper into this approach and practical frameworks on the blog: 👉 Stop wasting weeks on idea validation: MIT’s AI approach – with Nate Patel

Building AI You Can Trust: Nate Patel on Innovation Readiness

AI innovation isn’t just about building smarter models — it’s about designing trust, clarity, and accountability into how we deploy them. 🚀

In his latest post, Nate Patel challenges teams to rethink how they prepare for AI at scale — not by focusing only on capability, but by clearly defining decision boundaries, accountability loops, and continuous evaluation so that AI systems are safe, trusted, and truly impactful. 💡

👉 “The next wave of innovation with AI won’t be led by the fastest builders. It will be led by teams who design trust, governance, and accountability into their AI systems.”

A timely reminder for leaders, builders, and teams shaping the future of AI.

👉 Check out the post: https://shorturl.at/WOoGY