Matt Fitzpatrick
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- RAISE Summit42 min
The Data Problem: What AI Actually Runs On | RAISE Summit 2026
Matt Fitzpatrick, Philippe Mizrahi, Noam Salinger, Molly Presley, Travers Nisbet, Petrina Anne Steele, Petrina Steele, Emily Fortuna
Enterprise AI adoption remains critically hampered by organizational inertia and legacy infrastructure, with only 5% to 8% of projects reaching production while global compute allocation shifts decisively toward 80% inference needs. Leaders must address fragmented data silos and misaligned workflows by implementing global namespaces and human-in-the-loop validation protocols to ensure agents meet strict liability standards. As constraints evolve from pure data quality to energy supply and physical infrastructure, successful transformation will depend on re-engineering business processes rather than merely overlaying new models onto broken systems.
Matt Fitzpatrick: Who Wins the Data Labelling Race & Why Al Needs Forward-Deployed Engineers
Matt Fitzpatrick, Harry Stebbings
Matt's leadership at Invisible outlines a strategic pivot toward a forward-deployed engineering model that delivers custom AI workflows while charging only upon successful user acceptance testing. This approach directly addresses the industry's 95% failure rate in Gen-AI deployments by replacing brittle internal builds with human-in-the-loop verification and dynamic expert sourcing. Supported by a $130 million capital raise and a global co-located workforce, the company prioritizes long-term iteration and task-specific trust over immediate profitability to capture ROI in healthcare, education, and physical service sectors.