# Great to be back at Build today. For us, it is not about any one piece of technology or even the platform. It is about how we can build a frontier intelligence ecosystem together. > Source: > Published: 2026-06-02 22:42:27+00:00 Great to be back at Build today. For us, it is not about any one piece of technology or even the platform. It is about how we can build a frontier intelligence ecosystem together. Sharing some of our big announcements today ... [Tony Tran](https://vn.linkedin.com/in/tony-tran-14a397110?trk=public_post_comment_actor-name)49m We may call it intelligence. I simply call it flow. I think the IQ layer concept is what stands out most to me. unifying Foundry, Fabric, and M365 into a continuously updated organizational understanding is essentially solving the data fragmentation problem that makes enterprise AI so hard to trust. [Akhilesh K Verma](https://in.linkedin.com/in/vrakhil07?trk=public_post_comment_actor-name)40m The real opportunity lies in building an open and collaborative intelligence ecosystem that accelerates innovation for everyone. How do we build a frontier intelligence ecosystem? By measuring the scaling limits of volume-centric computing imposed by the Landauer Limit on AI efficiency to measure intelligence in edge points of surface-centric topological boundaries as a thermodynamic work rather than an anthropocentric measurement in order to use computational physics to solve real-world problems. The volumetric era of scaling is over. The monolithic, centralized model is no longer the moat; it is becoming a commodity. The raw, centralized compute itself is no longer the differentiator; the thermodynamic efficiency of how that compute is deployed at the edge is the new battlefield. This seamlessly supports the necessary industry shift toward decentralized infrastructure and outcome-based Cost of Goods Sold frameworks over raw SaaS token generation. The next MOAT is an Entropy Management Platform - extracting the maximum useful work with the minimum wasted energy. This is the Carnot Efficiency Cycle applied to cognition. We are in the age of computational physics. [Tessa S.](https://www.linkedin.com/in/opasos?trk=public_post_comment_actor-name)16h OPAS Authority OS is now officially discoverable, deployable, and purchasable through the Microsoft Commercial Marketplace — a major unlock for enterprise adoption. This is just the beginning. Over the next 90 days, we’ll be rolling out: • The OPAS Obsidian‑Jarvis Agent System • Deterministic governance pipelines • Enterprise‑grade compliance automation • Full cinematic‑hybrid product visuals • Partner integrations across Azure + M365 If you’re building, scaling, or governing at enterprise altitude — OPAS is now one click away inside your Microsoft ecosystem. Let’s go. #OPASAuthorityOS #MicrosoftMarketplace #Governance #Automation #EnterpriseOS #Azure #M365 [Maid Dizdarevic](https://www.linkedin.com/in/maid-dizdarevic?trk=public_post_comment_actor-name)17h The future of AI won’t be built by one company alone. The real work is creating ecosystems where builders, businesses, and users all make each other better. For anyone looking to grow into this space, my friends at [Offered.ai](http://Offered.ai?trk=public_post_comment-text) connect people directly with recruiters and only get paid when they help you land a role. Adaptability is going to matter a lot here. [Eric Marcano](https://co.linkedin.com/in/eric-marcano-revops?trk=public_post_comment_actor-name)18h Look, moving the entire control plane from traditional applications to autonomous systems of agents introduces massive strategic variables. The technology is impressive, but handing off execution intent without an airtight operational governance framework is an immediate operational risk. A chatbot hallucination costs reputation—an agent execution error without proper guardrails directly impacts the P&L through broken workflows, unauthorized data calls, and misaligned pipeline metrics. Deploying agentic AI requires human-in-the-loop validation built into the core business architecture. C'est le problème with treating advanced systems as a magical shortcut rather than infrastructure that demands strict oversight. [Manish KUMAR](https://in.linkedin.com/in/kmanishm?trk=public_post_comment_actor-name)2h [Satya Nadella](https://www.linkedin.com/in/satyanadella?trk=public_post_comment-text) Great point—this shift toward a frontier intelligence ecosystem reflects a move from isolated AI capabilities to integrated, value-driven networks. From a governance and process perspective, the real differentiator will be how effectively organizations embed trust, interoperability, and accountability across this ecosystem—not just build it. Scalability will depend on aligning technology, data, and decision frameworks into a cohesive operating model. How do you see enterprises balancing rapid innovation with the governance needed to sustain such ecosystems at scale? #AIGovernance #Innovation [VICTOR K.](https://il.linkedin.com/in/victor-khalif-ltp?trk=public_post_comment_actor-name)15h Satya, building a frontier intelligence ecosystem makes complete sense for orchestration and prediction. Crucially, when it comes to the final physical release of high-value assets — including the silicon and infrastructure powering that ecosystem — probabilistic systems reach their limit. Courts and insurers are increasingly treating unauthorized physical handover based on visual checks or compromised credentials as a failure of Due Diligence. This creates direct exposure for the companies responsible for moving these assets. LTP V7 was built exactly for this gap. It adds a deterministic cryptographic layer at the physical gate, generating a court-admissible record that the handover occurred strictly in accordance with the shipper’s original data. AI can optimize the entire journey. At the point of physical release, mathematics removes the ambiguity. 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