Claude Platform on AWS is GA today. Not the same as Claude on Bedrock. The difference actually matters. Anthropic operates this one. Data is processed outside the AWS boundary. If you're in healthcare, finance, or government, loop in your compliance team before you start planning adoption. For everyone else, the IAM and consolidated billing story is real. If your team already lives in AWS, not managing separate Anthropic credentials and contracts is genuinely useful. Where to think ahead before you scale it: The teams most likely to move fast here are running Claude Code across engineering orgs or building with Managed Agents. Both great use cases. Both also need workflow-level cost visibility, quality monitoring, and drift detection before they're running at any real scale. None of that comes with the access point today. Managed Agents is in beta. AWS and Anthropic are moving fast here and that's a good thing. Just plan the operational layer alongside the deployment, not after. #AWS #GenerativeAI #AmazonBedrock #AIGovernance

We're excited to welcome Amazon Web Services (AWS) as an official sponsor of Rev 2026. Rev is where data science, AI, and IT leaders come to share what it actually takes to get AI into production in regulated industries. Having AWS on board means more of the infrastructure conversations that matter: scale, security, cost, and the real tradeoffs behind enterprise AI deployments. Join us at Rev: https://hubs.ly/Q04dDgzM0 AWS Partners

Worth a read from Stephen Brown. The pattern I keep seeing: teams celebrating shipping an agent, with no one able to answer the basic product questions — who owns it, what it's for, when it retires. Treat every AI agent like a product. Owner, purpose, lifecycle, sunset. Or don't ship it. Product Governance has to run at build speed. Otherwise it's just paperwork written after the fact.

I've written about what actually happened when my team compressed a 4–6 week build into 48 hours on using AI-Driven Development Lifecycle, or AI-DLC. The speed is real. But here's what surprised me: the moment that acceleration was possible, the governance question became urgent in a way it never had been before. Five failure modes accelerate when development outpaces governance: shadow product risk, decommission debt, regulatory lag, Ghost R&D, and coherence breakdown. The whitepaper is here: https://bit.ly/4tYQC1u I'm also presenting with Teddy Aryono and Kenny (Jun) Han at the Amazon Web Services (AWS) Summit Sydney 2026. If you are attending, come find us. Register today for AWS Summit Sydney: https://lnkd.in/gftZb_kk Teddy Aryono Kenny (Jun) Han Ambika Sinha Leica Ison Georgia Lee Alex Wade Helen Tsaganos #AWSANZ #AWSsummit #BuiltOnAWS #Skyjed #ProductGovernance #AIGovernance

A lot of people missed this but Amazon Web Services (AWS) just quietly changed how we build AI agents. Not a new model. Not another framework. 👉 A Managed harness. For the longest time, “building an agent” meant building everything around it: orchestration, memory, execution, infra. With AgentCore harness, you don’t build all that anymore. You declare the agent… and it runs. I tested this by building a Sunnah(Ways Of The prophet) knowledge agent, and the biggest realization was: I didn’t build the system. I declared it. That shift is bigger than it looks. I broke this down properly and shared an Example in my article 👇 Go read it and let me know what you think. https://lnkd.in/gAYQicqp

Financial services leads all industries in AI adoption. 73% report underwhelming ROI. Chun Schiros, Field CTO at Amazon Web Services (AWS), closed #Rev26 with a diagnosis: most organizations are funding pilots and buying tools. It feels productive, but it doesn't compound. The path forward is one platform, domain expertise encoded into it, and an operating model redesigned from scratch. Three things stay constant: your mission, your governance, and the domain expertise no foundation model has. One thing has to change. #Rev26 #EnterpriseAI #FinancialServices AWS Partners

Financial services leads all industries in AI adoption. 73% report underwhelming ROI. Chun Schiros, Field CTO at Amazon Web Services (AWS), closed #Rev26 with a diagnosis: most organizations are funding pilots and buying tools. It feels productive, but it doesn't compound. The path forward is one platform, domain expertise encoded into it, and an operating model redesigned from scratch. Three things stay constant: your mission, your governance, and the domain expertise no foundation model has. One thing has to change. #Rev26 #EnterpriseAI #FinancialServices AWS Partners

Glad to be part of this HPCwire conversation with Alex Woodie.    The AI boom is putting real pressure on infrastructure supply chains, well beyond GPUs. Memory, storage, and core enterprise hardware are all affected, making pricing and planning more unpredictable than ever.   My advice to customers is simple. Optimize what you already have, build flexibility into your roadmap, and use FinOps discipline to navigate the volatility. This is not a short cycle, and thoughtful planning now will pay off later.   At RapidScale, this is exactly the kind of work we’re doing alongside customers every day. If these challenges sound familiar, we’re here to help.

AI is reshaping more than workloads. It’s reshaping the global supply chain. In a recent HPCwire interview with Alex Woodie, RapidScale President Duane Barnes weighs in on how the GenAI boom is driving unprecedented disruptions across data center infrastructure, from memory and storage shortages to soaring server costs. The reality for many organizations right now: • Hardware prices are rising fast • OEMs are struggling to honor legacy pricing • Waiting it out is not always an option The takeaway is not panic. It’s planning. As Duane notes, the smartest path forward is often optimizing what you already have, applying FinOps discipline, and building a more flexible cloud or hybrid strategy to navigate ongoing volatility. Read the full article: https://lnkd.in/eRrNFpBZ #CloudComputing #FinOps #SupplyChain

Great perspective from Duane Barnes in this HPCwire interview. The GenAI boom isn’t just a technology shift it’s a fundamental stress test on infrastructure economics. Rising hardware costs, constrained supply, and pricing volatility are forcing organizations to rethink their approach. The takeaway isn’t to wait for things to normalize. It’s to act: 👉 Optimize what you already have 👉 Apply FinOps discipline 👉 Build flexible cloud and hybrid strategies The organizations that adapt fastest will be the ones that stay ahead.