Financial services AI governance doesn't have to mean friction. Domino's new Blueprint shows how to build role-aware onboarding apps that embed compliance controls from day one, so new users stay productive and shadow AI risk stays managed. https://
hubs.ly/Q04jf82p0
@dominodatalab
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Domino’s Blueprint: Frictionless AI Governance for Financial Services Onboarding
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AI Observability: Monitoring AI Systems Differently
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Traditional observability tools ask: is the system up? AI systems demand more. @DominoDataLab
's Jarrod Vawdrey weighs in on why monitoring whether AI is working as intended requires a fundamentally different approach. Read more in @ComputerWeekly
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AI Applications for Regulated Enterprises with Governance
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@Dominodatalab
’s Matt Bonyak and Danny Stout at #Rev26: regulated enterprises don't have a model problem. They have an application problem. AI apps built and deployed in hours, governance included. #Rev26 -
Agentic RAG Pipeline for Enterprise Question Answering
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Standard RAG fails complex enterprise questions. Domino's new blueprint shows how to build an agentic pipeline that classifies intent, routes queries across multiple sources, and returns structured answers with citations, not just fluent text: https://
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Agentic engineering raises stakes in AI development
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Nick Jablonski at #Rev26: vibe coding lowered the barrier. Agentic engineering raises the stakes. Knowing when humans must stay in the loop, and how to design for it, is the new engineering challenge. #AgenticAI #Rev26
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Businesses: An AI Application Problem, Not Models
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Live at #Rev26: Enterprises don't have a model problem—they have an application problem. @dominodatalab's Matt Bonyak and Danny Stout discuss how teams are building and deploying AI-powered apps in hours, not weeks.
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Discussion on AI Ethics Frameworks and Risk
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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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BMS Boosts Drug Manufacturing Output by 40% Using AI
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@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:
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Claude Code Integration for AI-Driven Lifecycle Management
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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: https://
hubs.ly/Q04gppSL0
Blog: https://
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Governance Challenges of Autonomous AI Agents in Enterprise
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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.