RWE appears in 70% of FDA drug submissions. But manual analysis can't keep pace with growing data volumes. ML can, if your environment is built for it. Read the full article in @MedCityNews
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@dominodatalab
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Machine Learning Accelerates FDA Drug Submission Analysis at Scale
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AI Leaders in Regulated Industries Gather at Rev 26
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Pharma. Financial services. Insurance. The leaders scaling AI across some of the world's most regulated industries are coming to Rev 26. @capitalone | @bmsnews | @helvetia Join us in Philadelphia, New York, and London: https://
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Domino Data Lab Showcases Modern SCE for Clinical Development
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Find Domino Data Lab at Booth #1. We're running live demos showing how Domino accelerates clinical development as the modern SCE. Stop by to see how we help teams scale analytics and AI across discovery, clinical, and regulatory workflows.
Find out more: https://
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Self-hosting Open-Source LLMs: Data Privacy for Regulated Industries
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Frontier LLM APIs are powerful. They're also a data privacy risk for regulated industries. This Domino Blueprint walks through self-hosting open-source models in Domino, with versioning, monitoring, and evaluation built in from the start. https://
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Admiral Grady on AI-Driven Defense Intelligence at Leadership Conference
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At the Defense Tech Leadership conference, Admiral Grady broke down what that means for modern defense: trusted insights, real-time intelligence, and AI that scales across missions.
— Domino Data Lab (@DominoDataLab) 20 mars 2026
Learn more: https://t.co/gqKXlLGxNJ pic.twitter.com/SKBCh2ToqqAt the Defense Tech Leadership conference, Admiral Grady broke down what that means for modern defense: trusted insights, real-time intelligence, and AI that scales across missions. Learn more: https://
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US Navy Cuts ML Model Deployment Time for Mine Detection
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The world's mine detection gap is real. So is the AI gap behind it. We know of a solution: The U.S. Navy cut ML model deployment time from 6 months to 6 days. Learn more about UUVs in @WSJ
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AI in Insurance: Real-World Applications and Limitations
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At Rev London, Thomas Reichert from one of Europe's largest insurers, Helvetia Baloise Group, will share where AI delivers in model production, and where it falls short. Examples from a regulated industry at scale. June.25 | See the speaker lineup: https://
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AI Summit Operationalizing AI in Life Sciences
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Thomas Robinson is at the Flagship Pioneering AI Summit next week — where leaders from pharma, biotech, and AI are working through what it actually takes to operationalize AI in life sciences. https://
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Document Intelligence Enhances Defense Agency Decision Making
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Great conversations at the CDAO Defense & Autonomy Summit today. Our talk shared how document intelligence is helping agencies do more with fewer analysts, enabling faster, more informed, and auditable decision-making while keeping humans in the loop. #AI #Defense #Autonomy
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NVIDIA GTC: Platform for Productionizing AI Innovation
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What an incredible @nvidia GTC! It’s been energizing to connect with innovators and leaders on what’s next in AI. This evolution means leaders need a platform to productionize AI. Come catch us today! #NVIDIAGTC #AI #ML #MLOps