I wrote something on what it really takes to make generative AI work in the enterprise. Pilots are easy. The real challenge is turning them into production results quickly, avoiding the common pitfalls, and building a platform the business can actually trust to scale. That’s the difference between experiments and real capability: a secure foundation, value from day one, and the confidence to let adoption grow without chaos. Cloud2 & Amazon Web Services (AWS) Check out the two customer reference cases! https://lnkd.in/dmyiyg4d #aws #enterprise #genai

🌍 AWS Cloud Day Dublin was a brilliant opportunity for David Anderson to share how G-P is applying AWS Bedrock AgentCore in practice. Alongside Joon du Randt (G-P) and Omar Elkharbotly & Aris Tsakpinis from Amazon Web Services (AWS), the team unpacked patterns for building scalable multi-agent architectures. Dave highlighted how fast this space is evolving — AgentCore only launched two months ago, yet it’s already enabling: ✅ Repeatable multi-agent patterns that accelerate delivery ✅ New approaches to orchestrating complex AI workloads ✅ Clear business impact from translating AI into value True to form, Dave also used a Wardley Map to frame the discussion — showing the contrast between genesis and commodity in the world of building AI agents. It’s a powerful way to make sense of where the technology is today, and where it’s heading. 👏 Thanks to Amazon Web Services (AWS) Ireland for hosting such a valuable event and to the community for the rich conversations that followed. #AWS #AgentCore #AI #MultiAgent #WardleyMapping #Cloud

Jonard Tools partnered with Avahi to launch an AI recommendation assistant on Amazon Web Services (AWS). Smarter guidance, happier customers. 👉 Full case study: https://lnkd.in/gczxgXHn #AIAssistance #CaseStudy #AWS #ScaleWithAvahi

Viseven AI-powered content ecosystem enablement in action ↓ The synergy between eWizard, Amazon Web Services (AWS), and our intelligent assistant eVa is a lot more than tech – it's a comprehensive solution tailored for enterprise needs. See the full story in the article by Roman Vasylenko, Dennis Lauth, and Jyothi Jayaraman. How Viseven, as an AWS Partner, is transforming Life Sciences content for the digital age: https://lnkd.in/eRVxn7fv

✨What excites me most in what we do at Wiz is how far beyond cloud posture management Wiz’s now gone.✨ Earlier this week, Wiz was named a Leader in IDC’s 2025 ASPM MarketScape (https://lnkd.in/eA5ZjrcE). But what we’re doing for SOC is just as impressive and innovative. With our #MCP server and Wiz Defend, Wiz transforms #SOC operations into something #AI-driven and automated: ⚡ 90%+ faster alert triage ⚡ Natural-language investigations ⚡ Real-time guardrails and automated fixes Think of it as a SecOps copilot that plugs into Wiz’s Security Graph and your existing tools. The outcome? ✅ Time back for SOC teams to shift from “keeping the lights on” to driving strategic initiatives ✅ Analysts focusing on higher-value investigations instead of repetitive manual tasks ✅ Measurable risk reduction across the board Read the case study how Grammarly achieved a 91% reduction in investigation time with Wiz MCP here: https://lnkd.in/eZStRNtq If you’re in Tel Aviv, join Hen Perez, Amazon Web Services (AWS) and AllCloud to experience the possibilities firsthand. The registration link 🔗 is in Hen’s message below. Kilian Hümpfer Bartlomiej Jakubowski Andre Tobers Sebastian Haverland Denise Buna Patrik Konrad Felix Brehmer Siri George 🇩🇪 🇬🇧 Joel Martell Pascal Duden #CloudSecurity #ASPM #AI #SecurityOperations #Wiz

Amazon Bedrock now supports Global Cross-Region inference for Anthropic Claude Sonnet 4. You can now use the Global Claude Sonnet 4 inference profile to route your inference requests to any supported commercial AWS Region for processing, optimizing available resources and enabling higher model throughput. https://lnkd.in/gyirkyH7

Amazon S3 Vectors .. released recently, is the first cloud object store with native support to store large vector datasets and provide subsecond query performance that makes it affordable for businesses to store AI-ready data at massive scale. #semanticSearch #RAG #AIAgent #AIAcceleration

Great news🎉 PromptX is now just a click away on Amazon Web Services (AWS) Marketplace! 👉Explore PromptX on AWS: https://zurl.co/bEX9W Get started today and see how PromptX can transform the way your teams find and use information. 👉Try PromptX for your enterprise: https://zurl.co/meTbu #enterpriseai #ai #aisearch #aws #awsmarketplace #marketplacelisting #aitool #VE3

Future Anthem has migrated #AmplifierAI to Amazon Web Services (AWS) – unlocking speed, scale and security. ⚡️ What this means for operators: ✅ Get faster access to new features so you can scale personalisation efficiently
 ✅ Benefit from enhanced security with AWS’s enterprise-grade infrastructure
 ✅ Purchase Amplifier AI directly via the AWS Marketplace Read the full announcement: https://hubs.la/Q03KXpYH0 -- To learn more about how Amplifier AI personalises every step of the player journey, reach out to Ian Tibot or John Atkinson. #AI #AWS #GamingTechnology

🚀 Big Milestone: Future AGI is now live on AWS Marketplace! We’re excited to share that Future AGI is officially available on AWS Marketplace, making it easier than ever for teams to bring evaluation, guardrails and observability into their GenAI applications. This unlocks a simpler path for enterprises already building on Amazon Web Services (AWS) to: ✅ Experiment faster with multi-agent systems, RAG workflows, etc.  ✅ Catch hallucinations before they hit customers ✅ Monitor model performance in real time with actionable insights ✅ Add guardrails and evaluations at scale with 6× the cost efficiency of alternatives But here's what we are REALLY excited for: we're meeting AI builders exactly where they live and breathe. No more friction, no more "let me check with procurement" just pure, unfiltered innovation at the speed of thought! 💭 🔗 Explore Future AGI on AWS Marketplace: [Link in comments] A huge thank you to our team, our early customers, and the AWS crew for helping make this possible. This is just Day 1. The future we're building together is going to be absolutely incredible! 🌍 👉 If you’re already running GenAI workloads on AWS, what’s the biggest challenge you face scaling them in production?