AWS CEO Matt Garman: AI won't replace people, it will enhance them

𝗔𝗪𝗦 CEO Matt Garman recently shared a vision that positions AI agents as a shift as transformative as the advent of the internet. To bring this potential to scale, 𝗔𝗪𝗦 has introduced a comprehensive foundation for building and deploying production-ready AI agents—grounded in four guiding principles: 🔹 𝗔𝗴𝗶𝗹𝗶𝘁𝘆 𝗮𝘀 𝗮 𝗖𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗘𝗱𝗴𝗲 Organizations must adapt quickly. With Amazon Bedrock AgentCore, enterprises gain a secure, serverless runtime, identity management, observability, memory tools, and seamless integration with open-source frameworks and diverse models. Customers are already adopting AgentCore to accelerate production-ready deployments. 🔹 𝗘𝘃𝗼𝗹𝘃𝗲𝗱 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗘𝗿𝗮 Security, reliability, scalability, and observability are being redefined. AgentCore Runtime delivers session isolation, checkpointing, recovery, and real-time visibility, while AgentCore Gateway simplifies integration with APIs, SaaS apps, and proprietary data. 🔹 𝗠𝗼𝗱𝗲𝗹 𝗖𝗵𝗼𝗶𝗰𝗲 + 𝗣𝗿𝗼𝗽𝗿𝗶𝗲𝘁𝗮𝗿𝘆 𝗗𝗮𝘁𝗮 No single model fits all needs. AWS pioneered model choice with Amazon Bedrock and now expands it with Amazon Nova customization in SageMaker AI, enabling fine-tuning and alignment. With innovations like Amazon S3 Vectors—cutting vector storage costs by 90%—agents can reason deeper and maintain richer context. 🔹 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝘃𝗲 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 Beyond infrastructure, AWS is delivering ready-to-deploy solutions. From Kiro, an AI IDE that accelerates software development, to AWS Transform, which automates modernization, and Amazon Connect, which elevates customer experience, these solutions turn vision into measurable outcomes. To accelerate adoption, AWS has also doubled its investment in the Generative AI Innovation Center, bringing an additional $100M to help customers unlock real-world value—continuing its legacy of setting the global standard in security, reliability, and data privacy. The message is clear: agentic AI isn’t a distant future—it’s here now. The organizations achieving the greatest impact aren’t waiting; they’re starting small, learning fast, and scaling with confidence. #AWS #AI #AgenticAI #Innovation #Cloud

I had the incredible opportunity to speak on the Agenda - "AWS Summit Toronto 2025"- about ongoing build of Multi-Agent AI systems that can help enterprises scale efficiently, cut costs, and unlock revenue—especially as AI use cases surge. The energy in the room was electric—so many curious minds, insightful questions, and meaningful conversations. It was humbling to see the audience lined up to dive deeper into the topic. My key takeaways: - Scaling AI remains a major challenge for many organizations. - There's still a noticeable gap between data scientists, ML engineers, and AI engineers—even in the era of Agentic AI. - And perhaps most importantly, AI guardrails are critical when driving business value through AI at high pace. Without them, innovation can quickly outpace responsibility.... Grateful for the experience—and love to keep pushing the boundaries of what’s possible. Chris Brandon (he/him) Calvin Yip #aws, #agenticai, #AIatScale, #FSI, #sagemaker, #llm Topic : "Mastering Agentic MLOps: Automating AI pipelines by Use of Agentic AI on AWS for Scalable Enterprise Success"  "Special thanks to few colleagues at RBC for their support and contribution, and to Kristine Anoska and Cathy Lei from AWS for their valuable collaboration." Link to my abstract : https://lnkd.in/gwJxv9H9

AWS just unveiled Amazon Bedrock AgentCore, positioning itself as the central platform for enterprise AI agents. AgentCore promises developers everything needed to create and deploy advanced AI agents at scale. AWS VP Deepak Singh even called agentic AI “as transformational as data networks.” Read the full article here: https://lnkd.in/eFnn_AZP For enterprises, this means standardized frameworks are coming fast. But adopting them unquestioningly won’t solve the toughest problems, data architecture, compliance, and secure integration. Having built enterprise agentic AI platforms from scratch, I know the difference between marketing promises and production reality. The real challenge isn't platform selection, but designing systems that actually work at enterprise scale. Genius Match sources engineers who have hands-on experience implementing these complex systems securely at scale. With AWS driving the agentic AI era, how do you see this shaping your enterprise strategy? #AgenticAI #EnterpriseAI #AWS #AIArchitecture #TechStrategy

#PR Our commitment to #GenerativeAI is definitive, and proof of this is that today we can announce a strategic collaboration with Amazon Web Services (AWS) to accelerate the adoption of this technology in companies across Europe. This agreement will support initiatives to #accelerate agentic systems (#AIagents), seeking to empower companies to innovate and scale their #AI capabilities more quickly and efficiently. 🤜 🤛 We combine the deep experience we have accumulated at Keepler Data Tech in implementing #data and #AI solutions with the capabilities and robustness of #AWS services for the necessary infrastructure. 💬 "Together, we will equip large corporations with the ability to lead this revolution, driving innovation and generating tangible competitive advantages." Juan M Aramburu (Keepler's CEO) 💬 "Keepler’s expertise in developing tailored #AI solutions will help more customers navigate the complexities of integrating #agenticAI into existing systems and enable them to deploy agents confidently at #scale." Antonio Alonso Lopez (Director of EMEA Partner Management at AWS) A combination backed by large and multinational clients such as Moeve. "For Moeve, collaborating with Keepler has been key to accelerating the integration of #AIAgents into our strategy [...]. The robustness and flexibility of AWS services, combined with Keepler’s vision and execution capabilities, offer us the ideal platform to #build and #scale". Jesús Oliva (Head of Data & AI at Moeve) Read the full information here ➡️ https://bit.ly/3JYKV1c Learn more about accelerating the implementation of AI Agents ➡️ https://bit.ly/4p1FdvF

🚀#Keepler and #AWS are joining forces to accelerate the adoption of #AIagents. This is a strong step toward helping enterprises innovate faster, scale smarter, and unlock real business value. It's exciting to see how collaborations like this are shaping the future of #GenerativeAI in #EMEA. Empowering companies to integrate these systems confidently and at scale shows that Agentic AI isn't just visionary, but practical! Looking forward to seeing how this partnership drives the next wave of AI-driven transformation. 👏 #AI #Innovation #Partnership #Data #AWS #agenticAI #genAI

CTOs must proactively experiment with emerging technologies like #agenticAI before C-suite conversations arise. ⚖️ 🤖 💡 Whether you're a technology leader looking to drive 10x value from your #AI implementations or a business executive exploring AI’s transformative potential, this discussion's for you. Watch now. 👉 https://go.aws/4nrAvWs Featuring: 🎙️ Arvind Mathur, AWS Enterprise Strategist 🎙️ Matthias Patzak, AWS Enterprise Strategist #AWS #generativeAI #AI #LearnWithAWSExperts

Generative AI is no longer a “future trend” — it’s here, and enterprises are already using it to boost efficiency, improve collaboration, and accelerate innovation. 🔹 Amazon Q Business, the new AI-powered enterprise assistant from AWS, empowers employees to: ✅ Search across wikis, intranets, knowledge bases & documents in natural language ✅ Automate workflows across multiple business systems ✅ Access only the data they’re authorized to see — with enterprise-grade security 💡 Real impact: A global enterprise using Amazon Q Business saved ~2 hours per day per employee on routine searches, driving faster decisions and better collaboration across teams. At Softprom, as an official Amazon Web Services partner, we help enterprises design, deploy, and scale Amazon Q Business to unlock the full potential of AI in business operations. 👉 Learn more about how Amazon Q Business can transform your organization: https://lnkd.in/dmmAEUFi #Softprom #AWS #AmazonQBusiness

We are excited to launch our latest thought leadership study commissioned in collaboration with Amazon Web Services (AWS) and conducted by Forrester Consulting - “A Roadmap to Driving Enterprise Value in an Agentic Future.” Discover how GenAI is reshaping business strategy, and why Agentic AI is the next frontier for innovation, productivity, and transformation. Explore key insights such as: ✔️ Why 69% of organizations still struggle with GenAI maturity ✔️ The critical role of data optimization and tech partnerships to success ✔️ How Agentic AI will redefine enterprise operations and customer engagement Dive into the full study to explore how enterprises are scaling GenAI and preparing for an agentic future. 👉 http://srkl.in/6046BfQnUu Deepak Khosla Rahul Koorichh Victor Rojo #GenAI #Forrester #AWS #LTIMindtree #EnterpriseAI #AgenticAI AWS Partners LTIMindtree BlueVerse

Enterprises are scaling Gen AI, but the next leap is Agentic AI. Our latest study with Amazon Web Services (AWS) and Forrester outlines how leaders can overcome GenAI maturity gaps and unlock enterprise value through data, partnerships, and AI-driven transformation. 🔎 Read the full study: https://lnkd.in/ddXFzETd #AWS #ForresterResearch #GenAI #AgenticAI #Cloud #DigitalTransformation

The future of enterprise AI is agentic, and it is happening right now! 🚀 This new study from one of our AWS Partners, LTIMindtree, Amazon Web Services (AWS), and Forrester explains how autonomous AI is changing business operations. A must-read for leaders planning their AI strategy. Read the full study in the link below. 👇🏽👇🏽 #GenAI #AWS #EnterpriseAI #AgenticAI