monte-carlo
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Wayne Jin Makes Invisible Software Matter
After Google Cloud, GitHub, AppDynamics, and Grafana, the computer-science graduate has taken on a peculiar marketing assignment: make companies care about the failures they cannot yet see.
Barr Moses
Barr Moses is the co-founder and CEO of Monte Carlo, the company that created the data observability category and built one of the first end-to-end platforms for catching what she named 'data downtime' - the stretches when data is wrong, missing, or simply not trustworthy. A Stanford-trained mathematician and former Israeli Air Force intelligence data unit commander, she went from Bain consulting and a VP role at Gainsight to building a data reliability company valued at $1.6 billion. She co-authored O'Reilly's 'Data Quality Fundamentals' and is one of the most cited voices on why enterprises should treat broken data like broken software.
John Mern
John Mern is the Co-Founder and CEO of Terra AI, a Khosla Ventures-backed startup using generative AI and probabilistic modeling to transform how humans find and develop critical minerals and energy resources underground. A Stanford PhD in aerospace engineering and alumnus of Boeing Phantom Works and KoBold Metals, Mern built Terra AI's platform to cut mine development timelines in half - running geophysical simulations 125,000x faster than traditional methods, achieving 40% reductions in drilling costs, and helping partners unlock over $100 million in investments. His work sits at the intersection of deep reinforcement learning, geoscience, and the urgent global race to secure the copper, lithium, and cobalt the energy transition demands.