Domino Data Lab

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Domino Data Lab

Domino Data Lab

@DominoDataLab

The Enterprise AI platform trusted by the world's largest AI-driven enterprises and government agencies.

San Francisco, CA Katılım Eylül 2013
1.5K Takip Edilen8K Takipçiler
Domino Data Lab
Domino Data Lab@DominoDataLab·
.@DominoDataLab had the honor of recognizing two 2026 Catalyst Award winners at Rev Philadelphia. Congratulations to Tiffany Fabianac of @AstraZeneca and Tim Williams of @ucb_news for their incredible accomplishments!
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Domino Data Lab
Domino Data Lab@DominoDataLab·
Reid Blackman thinks your AI risk framework is already obsolete. At Rev New York, he's making the case — then signing copies of his new book, The Ethical Nightmare Challenge. First come, first served. Only at Rev. See you next week!
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Domino Data Lab
Domino Data Lab@DominoDataLab·
@BMSnews boosted drug manufacturing output 40% with AI. They're now targeting a 3-yr reduction in time to market. That's production-scale AI in one of the most regulated industries. We're proud to help half of the top 20 drive AI value. NYT: hubs.ly/Q04gxW5B0
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Domino Data Lab
Domino Data Lab@DominoDataLab·
Your team uses Claude Code. Inside Domino, it doesn't stop at code. It runs jobs, tracks experiments, registers models and writes to the audit trail. Same agent. Whole lifecycle. 30 seconds: hubs.ly/Q04gppSL0 Blog: hubs.ly/Q04gpp290
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Domino Data Lab
Domino Data Lab@DominoDataLab·
That's a wrap on Rev Philadelphia! Three things that came up in every conversation today: 1) Culture moves slower than technology. 2) Governance isn't a gate. 3) The app gap is closing. Next stop: Rev New York. #Rev26 #LifeSciences #EnterpriseAI
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Domino Data Lab
Domino Data Lab@DominoDataLab·
.@Novartis SVP Eric Gibson closes the day at Rev Philadelphia. Everything in pharma data science sits somewhere between exploratory and confirmatory. Early research needs speed. Regulatory submissions need rigor. Those who build for both will move fastest when it matters most.
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Domino Data Lab
Domino Data Lab@DominoDataLab·
.@Novartis’ Priya Subramaniam at #Rev26: speed and regulatory rigor aren’t a tradeoff. But getting both requires more than the right platform. It requires a roadmap, validation, and change management, all at once.
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Domino Data Lab@DominoDataLab·
Thomas Mock from @posit_pbc on stage at #Rev26 showing how the Positron Pro IDE now runs inside Domino. Same environment, full governance. No tradeoff.
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Domino Data Lab
Domino Data Lab@DominoDataLab·
The governance model is already behind. Most organizations just haven't felt it yet. @AstraZeneca's Brian Dummann live at #Rev26 right now: most frameworks were built for a human reviewing an output. Once agents start invoking each other, that loop doesn't exist anymore.
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Domino Data Lab@DominoDataLab·
.@Merck’s Uday K Reddy Kandula at #Rev26: fragmented clinical analytics don't just slow you down, they break auditability and make regulatory submissions harder than they need to be.
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Domino Data Lab@DominoDataLab·
.@bmsnews’s Jacob Albrecht at #Rev26: Done right, scale means everyone gets smarter. Real scale is when reusable patterns are adopted across teams and every new team inherits the standards instead of rebuilding from scratch.
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Domino Data Lab@DominoDataLab·
.@ucb_news’s Tim Williams at #Rev26: modernizing your SCE isn’t a technology problem. It’s a people, process, and IT problem that happens to involve technology.
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Domino Data Lab@DominoDataLab·
.@GSK’s Ben Arancibia at #Rev26: most open source adoption programs fail because they’re built around approval gates. GSK did the opposite and it changed everything.
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Domino Data Lab@DominoDataLab·
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.
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Domino Data Lab@DominoDataLab·
Former @FDA Commissioner Stephen Hahn, live at #Rev26: "What if the next major medical breakthrough didn't take 20 years to reach patients?" The science is moving faster than the infrastructure built around it.
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Domino Data Lab@DominoDataLab·
6 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: hubs.ly/Q04g6fvk0
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Domino Data Lab
Domino Data Lab@DominoDataLab·
The agenda is the reason to come. The hats are the reason to come early. Three limited edition hats designed by Domino data scientists. Three inside jokes only your team would laugh at. Only at Rev. Onsite only. Limited quantities. Register now! hubs.ly/Q04g0YCq0
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Domino Data Lab
Domino Data Lab@DominoDataLab·
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: hubs.ly/Q04fnbm-0
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