David Hallac
95% Of AI Pilots Are Failing: How You Can Succeed
A recent MIT study found that 95% of corporate AI pilots have failed to produce meaningful results or delivered ROI. There are many challenges and complexities that contribute to these failures, including company-wide strategy, technical system integrations, and internal cultural adoption to AI. As an AI startup focused on real-world deployment, we’ve seen both the pitfalls and the breakthroughs firsthand, and David will share our top lessons learned and successful use cases to turn AI pilots into ROI generating engines.
Bio
David is the Founder and CEO of Viaduct, a machine learning analytics platform for connected car data. His background is in Electrical Engineering, where he focused on large-scale optimization for time series sensor data coming from cars, airplanes, and other large machines. His Ph.D. research involved developing mathematical models for finding patterns in complex data and implementing these methods in high-performance solvers that were directly used by Fortune 500 companies in various different IOT verticals.
At Viaduct, he is developing new methods to analyze connected vehicle data, with applications including predictive maintenance, quality monitoring, and driver safety. He received his B.S. from the University of Pennsylvania and his M.S. and Ph.D. from Stanford University, both in Electrical Engineering.