Live at #Rev26: @DominoDataLab CEO Nick Elprin builds a working Streamlit app on stage. Data file in, natural language prompt to an agent, deployed app out. The compliance layer stays. The friction doesn't.
@dominodatalab
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Defense AI Transformation: Accelerating Deployment and Retraining Timelines
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6 months → 6 days.
— Domino Data Lab (@DominoDataLab) 11 mai 2026
That's the new deployment timeline for the US Navy's automatic target recognition system — running at the wet edge, on ships at sea.
Model retraining: 12 mos. → 6 days.
That's defense AI transformation defense. Watch the webinar: https://t.co/ynPaeynI68 pic.twitter.com/ppcG8nUYtt6 months → 6 days. That's the new deployment timeline for the US Navy's automatic target recognition system — running at the wet edge, on ships at sea. Model retraining: 12 mos. → 6 days. That's defense AI transformation defense. Watch the webinar: https://
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Domino platform integrates AI lifecycle management from training to deployment
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84% of developers use AI to code (Stack Overflow, 2025). Most stop at autocomplete. Inside Domino, your assistant learns the rest of the lifecycle. Training. Deployment. Governance. Monitoring. Same prompt. Whole platform. Blueprint: https://
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GitHub Copilot integration within Domino for enhanced code governance
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Your team uses GitHub Copilot. Inside Domino, every change is captured in the audit trail. Every run reproducible. Every model traceable to the code that produced it. Copilot, governed by default. 30 seconds:
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AI Agents Evolution and Future Challenges at Rev Philadelphia
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Only 6 days left until Rev Philadelphia. The industry moved from chatbots to agents. Now agents are talking to each other. Brian Dummann, VP, Head of Enterprise AI Technology at @AstraZeneca
, shares what gets genuinely hard at that next level. RSVP. https://
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Proactive AI Governance at Scale in Financial Services
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Governing dozens of models is a process. Hundreds is a different problem. @DominoDataLab
's Nicholas Goble breaks down what proactive AI governance looks like in FSI. Learn why the firms getting it right don't wait for regulators. Silicon UK: -
Domino Data Lab Wins $99.7M U.S. Navy AI Contract
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"A technology developed in peacetime over the past four years is ready to be deployed rapidly." @DominoDataLab COO Thomas Robinson joined Bloomberg This Weekend to discuss the U.S. Navy's contract award of up to $99.7M. https://
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Domino Data Lab Brings AI to US Navy Mine Countermeasures Program
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Mine-hunting UUVs took months to adapt to new threats. Now it takes days. @DominoDataLab
's COO joined Bloomberg This Weekend to explain how and why Domino adds AI to the U.S. Navy's mine countermeasures program, and its $99.7M contract award. https://
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SR 26-2 Governance: Organization Technology and Process for Compliance
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Once you understand SR 26-2, the next step is building the right governance. The last post of our SR 26-2 series, Nick Goble lays out the organization, technology, and process needed to respond and prepare for whatever comes next. Part 3 → https://
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Rev New York Demo: AI Expected Loss Pipeline and Safety Guardrails in Banking
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At Rev New York on May 19, we'll show how risk teams can run an expected loss pipeline, an AI safety guardrails layer, and traced agents for analysis and reporting — directly from Excel, in a regulated bank scenario.
— Domino Data Lab (@DominoDataLab) 1 mai 2026
See the full demo live at Rev: https://t.co/QHfMGrJDeo pic.twitter.com/gRcSk9P0k2At Rev New York on May 19, we'll show how risk teams can run an expected loss pipeline, an AI safety guardrails layer, and traced agents for analysis and reporting — directly from Excel, in a regulated bank scenario. See the full demo live at Rev: https://
hubs.ly/Q04dDtLf0