Domino Data Lab

At an Axios House event, @dominodatalab Data Lab CISO Chris Talevi noted that AI agents are a new kind of insider, requiring the same governance applied to human access: identity management, observability, audit trail monitoring, and posture oversight. 🔗 hubs.ly/Q04pY2Py0

Bank of America says new AI capabilities now let more than 200K employees work more effectively, Fortune's Sheryl Estrada reports. At that scale, inside a heavily regulated institution, the real test is whether every deployment stays auditable: hubs.ly/Q04pWG5h0

To move beyond pilots, you need AI you can trust - with transparent reasoning, mission-specific context, and a foundation that evolves as mission needs change. Learn why trust is the key to scaling AI. Webinar: hubs.ly/Q04pGC4g0 #ArtificialIntelligence #NationalSecurity

Rev London has wrapped, and the takeaways are still landing. AI governance in regulated environments. SCE modernisation. Agentic workflows moving from pilot to production. Real talks on real problems. Rev returns in '27. Subscribe for updates at: hubs.ly/Q04pD4r00 #Rev26

Futurum analyst Nick Patience watched a full-stack AI-driven insurance app be built on Domino in 30 to 40 hours at Rev 2026. His take: the enterprise calculus is moving from 'buy vs. build' to 'buy to build.' Read the analysis: hubs.ly/Q04prxhk0

Pharma stat programming teams shouldn't need one system for QC tracking, a second for submission prep, and a third for exploratory work. One environment. SAS, R, Python. GxP compliant. QC built in. Learn how a top-10 pharma company standardized on it: hubs.ly/Q04plDhj0

79% run GenAI regularly (McKinsey, 2025). Just 8% have real governance (Economist Impact, 2026). Can you prove how a RAG answer got made? Domino logs RAG lineage: query, chunks, model version, timestamp. Same pipeline. Provable answers. Blog: hubs.ly/Q04pgFml0

Reinforcement learning used to mean one thing: a program good enough to beat the world's best Go players. Today it's how ChatGPT learned to follow instructions, and how reasoning models solve math step by step. Same loop, higher stakes. Read: hubs.ly/Q04pcNqs0

Code generation is step 5 of 8 in agentic engineering. The other 7 are spec, testing, and validation. That's the work that turns a demo into production software. Read the playbook and full Ralph loop prompt: hubs.ly/Q04ny27Y0

We believe three consecutive years as a Visionary in the Gartner® Magic Quadrant™ for AI Platforms for Data Science and Machine Learning reflect a track record of reading the market early. See what that took: hubs.ly/Q04p31Z-0

A single R log failure can cost clinical programmers hours of triage. Inside Domino, Claude Code reviews SAP sections and R logs in RStudio, no patient data ever leaves the workspace. Same programmer. Fewer interruptions. Blueprint: hubs.ly/Q04n-wP90

95% of orgs see zero ROI from generative AI (MIT NANDA, 2025). RAND puts the broader AI project failure rate near 80%. Leaders who built MLOps discipline have already solved this problem once. Blog: hubs.ly/Q04nyhxC0

85% of companies with governed data products run 3+ AI projects in production, versus 25% without (BARC, 2026). Governance is the foundation for scaling AI ROI. Read the last-mile framework: hubs.ly/Q04nxPkJ0

That prototype has no auth, no error handling, no audit trail. Vibe coding is built for exploration. Production requires a different standard. Domino closes the production gap with governance built into every layer. Blog: hubs.ly/Q04nygpN0

The demo passed. The audit didn't. Vibe-coded apps skip specs, audit trails, human oversight. In regulated industries, that gap becomes regulatory exposure. Domino makes governance the default from the first line of code. Blog: hubs.ly/Q04ny9F70

.@TheFuturumGroup analyst Nick Patience says governance, not model performance, is becoming the true differentiator in enterprise AI. Read his take on @DominoDataLab's shift from MLOps platform to governed AI application factory: hubs.ly/Q04nyjXK0

Happy 250th, America 🇺🇸 Today we celebrate the freedoms that make innovation, progress, and community possible. We're grateful to those who serve and protect our nation. Wishing everyone a safe and meaningful Independence Day.

Most enterprise AI governance lives in a policy document, not the deployment pipeline. The fix: governance that runs at deployment time, not one that sits in a SharePoint folder. Blog: domino.buzz/4feIFA9

.@DominoDataLab is at AWS Summit Washington, DC. Stop by Booth #399 to see how regulated enterprises are moving agentic AI from pilot to production, with the governance and control that mission-critical work demands. #AWSSummit #AgenticAI #EnterpriseAI @awscloud @AWS_Partners

32% of organizations are running AI agents in production. Only 21% have the governance foundations to scale safely. That gap is where ROI disappears. @BARC CEO Shawn Rogers guest-authors a new blog on why governed AI applications are the answer: hubs.ly/Q04mVSSx0