ai-explainability
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Jessica Reeves
Jessica Reeves is the CEO and a board member of AxonIQ, the Utrecht-based company behind the Axon Framework and a unified platform for building event-driven, AI-native applications. She came up through HR and operations rather than engineering, spent roughly eight years at Anaconda where she rose to COO and helped scale the company into a $1.5B unicorn with $150M+ in ARR, and now argues that AI's lasting value will sit in its infrastructure layer - specifically in explainability, the ability to trace exactly why an intelligent system did what it did. Based in Austin, Texas, she frames event sourcing as the memory foundation that AI agents need to be auditable and trustworthy in the enterprise.
Paul Nemirovsky
Paul Nemirovsky is the cofounder and CEO of dMetrics, the Brooklyn-born AI company behind Minsky, a natural language processing platform that lets non-technical experts steer AI across the world's largest financial, pharmaceutical, and public-sector organizations. An MIT Media Lab PhD who once built musical navigation shoes and showed interactive art at the Centre Pompidou, he has grown dMetrics from two founders to a 40-person team without venture capital, and in 2024 the company landed a Department of Defense AI/ML production contract worth up to $99.5 million.