Matt Fitzpatrick

Matthew Fitzpatrick, CEO of Invisible Technologies and former quantum AI leader at McKinsey, explores the future of AI. He discusses which industries will thrive with AI and the unique challenges companies face transitioning to AI-native operations. Fitzpatrick emphasizes the need for custom task-specific benchmarks rather than relying on generic standards. He shares insights from AI implementations in healthcare and sports while urging companies to collect focused data and operationalize AI initiatives effectively. A fascinating dive into the intersection of business and technology!

Matt Fitzpatrick, CEO of Invisible Technologies and former McKinsey senior partner, dives into the crucial role of forward-deployed engineers in AI adoption. He argues that enterprises can’t fully embrace AI without these experts, highlighting the gap between AI model advancements and slow enterprise deployment. The conversation also covers the evolving data labeling landscape, the importance of quality data, and how human feedback remains invaluable in AI training. Fitzpatrick's insights emphasize the need for specialized strategies as AI reshapes industries.

In this discussion, Matt Fitzpatrick, CEO of Invisible Technologies and former head of McKinsey’s QuantumBlack Labs, reveals the staggering fact that only 8% of AI models succeed in production. He dives into the critical data quality issues hampering adoption and emphasizes the importance of fine-tuning AI to meet enterprise needs. With real-world success stories from Moody's and Klarna, Matt outlines how human feedback is essential for training models. He also shares insights on the future of AI in transforming business processes and the innovative vision of Invisible Technologies.