Today's guest is RJ Assaly, Chief Product Officer at Reflexivity. Founded in 2019, Reflexivity is an AI-powered market intelligence platform for institutional investors, asset managers and hedge funds. Combining financial data with proprietary AI technology, it helps investment professionals conduct research, uncover relationships across global markets, identify market signals and test...
How OpenAI built Pando, a Git-compatible backend designed for the scale of development that Codex makes possible.
OpenAI appoints Dan Driscoll to advise on responsible AI for national security modernization, cyber resilience, and collaboration with U.S. allies.
In BARC research presented at the BARC Data & Analytics Retreat 2026, 70% of the 225 data and AI leaders surveyed said less than half of their unstructured data is discoverable or usable for AI. Our report What Mid-Market Teams Get Wrong About AI translates this research for mid-market teams and we read this figure […]
From a nuclear revival to qubits, the MIT Energy Initiative’s annual research conference tracked deployment of today’s technologies to discovery of tomorrow’s breakthroughs.
The MIT professors collaborated to identify the first AI-discovered antibiotic, a scientific breakthrough that is widely recognized as a milestone in AI-driven drug discovery.
Audit duplicate contacts and decayed records before rebuilding your dashboards.
In just a few years, generative AI has changed the face of enterprise analytics, notably by making analytics accessible to users across the organization. Agentic AI promises to do even more, by automating entire workflows and taking actions based on agent insights. But there is a problem: The quality of insights that agents currently generate…
When a developer gives an AI agent a coding task, the agent does more than answer once. It plans, generates code, runs tests, and repeats the process to correct errors. A single task can use 10 to 50 times more tokens than a basic chat prompt. The more useful the agent becomes, the more calls…
In 2001, a decade after he invented the World Wide Web, Tim Berners-Lee articulated a new vision. Together with two colleagues, he published an article in the magazine Scientific American in which he outlined what he called the “Semantic Web”: an internet designed to be navigated by autonomous software agents that could address our every…