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
ENTERPRISE AI
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Domino’s Blueprint: Frictionless AI Governance for Financial Services Onboarding
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LangSmith preserves decision logs for explainable financial AI
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In financial services, the ability to explain how a conclusion was reached matters as much as the conclusion itself. This agent uses LangSmith to preserve that decision log: every query issued, every response received, and every intermediate result produced before the final
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Rippling AI shipped millions using Deep Agents and LangSmith in 6 months
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@Rippling AI runs on Deep Agents and LangSmith. Here’s how they shipped to millions of users in 6 months. -

Perplexity AI achieves new cost-performance frontier, outperforming Anthropic
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It also sets a new cost-performance frontier. On DSQA it scores 0.871, ahead of Anthropic's 0.815, at nearly half the cost per task. On WideSearch it leads on score while running cheaper.
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AI agents rely on infrastructure; Ricoh runs Japanese models at 700+ tokens/sec
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AI agents are only as useful as the infrastructure behind them. @ricoh is running custom Japanese AI models on SambaCloud at 700+ tokens/sec, delivering up to 10× faster performance than previous infrastructure. What once took a minute now finishes in ~10 seconds, making
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DellTechWorld 2026: H2O.ai CEO and Dell CTO discuss AI scaling, governance, cost
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At #DellTechWorld 2026, http://
H2O.ai Founder & CEO @srisatish joined @DellTech
' CTO Satish Iyer and @theCUBEto discuss what it takes to operationalize AI at scale — from infrastructure and governance to cost control, sovereignty, and real-world business outcomes. -
XR headsets, AI agents, and the future of 3D collaboration with AutoCAD, Maya, Blender.
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Honestly if we put this demo in a fancy XR headset, we’d call it jarvis. The future of 3d doesn’t involve the death of autocad, maya and blender. It turns those tools into a shared canvas of collaboration with ai agents. https://t.co/VwxOpFBZvH
— Bilawal Sidhu (@bilawalsidhu) 1 juin 2026Honestly if we put this demo in a fancy XR headset, we’d call it jarvis. The future of 3d doesn’t involve the death of autocad, maya and blender. It turns those tools into a shared canvas of collaboration with ai agents.
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AI-ready factories: AI as an accelerator, not a disruption
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AI-ready factories experience AI as an accelerator rather than a disruption.
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The real challenge: making AI agents work in business
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Building an AI agent is the easy part.
— Pascal Bornet (@pascal_bornet) 1 juin 2026
Making it work in your business is where the real challenge begins.
I recently sat down with @Chris Hallenbeck, SVP and GM of AI & Platform at @Boomi, to talk about the realities of moving AI from a sandbox into core business processes.… pic.twitter.com/4tkXXH42TuBuilding an AI agent is the easy part.
Making it work in your business is where the real challenge begins. I recently sat down with @Chris Hallenbeck, SVP and GM of AI & Platform at @Boomi
, to talk about the realities of moving AI from a sandbox into core business processes. -

Overengineered AI solution vs simple fix in glass case
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We asked AI to fix one slow workflow. We got 19 agents, 3 councils, and a 5-stage journey ending in "Ascend." The actual fix was three index cards: fix the process, name an owner, start small. They're now in a glass case labeled "what we should have done." Instead — Agentic