Discover how CNTXT AI deployed AI models in hours using Amazon Bedrock 🚀👉: https://go.aws/4h1if4r See how they're revolutionizing enterprise AI infrastructure & driving innovation.

It was my pleasure to share insights on “Applying Generative AI in Business” with our AWS partners — drawing from my real-world experiences in delivering AI projects. ISVs today can leverage Generative AI in two impactful ways 1/Enhancing operational productivity 2/Strengthening product competitiveness to accelerate innovation and customer value. #aws #awspartner #isv

Just wrapped up a late-night remote presentation in CTO connect with the Tech Leadership Circle on deploying production-grade Agentic AI. 💻 The big takeaway? The leap from AI demo to dependable agent is real. Amazon Bedrock AgentCore provides the crucial foundation: 🧠 Memory Foundation: Enables persistent, context-aware agents that remember user interactions. ⚡ Deploy with serverless runtime for automatic scaling. 🔒 Secure with built-in identity & safe tool access. 👀 Observe with full transparency into agent reasoning. It’s about moving from fragile prototypes to AI systems you can actually bet your business on. What's your biggest challenge in productionizing AI agents? #AgenticAI #AmazonBedrockAgentCore #AWS #ProductionAI #TechLeadershipcircle Chanmi EUN📦 Kong Lum HonGwen Tan

The Generative AI Tech Stack – Explained!🤖 From foundational models to model safety, every layer plays a crucial role in building intelligent, reliable, and scalable AI systems Explore, Experiment, and Engineer solutions across this entire stack — empowering innovation through responsible and efficient AI practices💡 Follow Cloud X Berry for more tech insights! #CloudxBerry #GenerativeAI #ArtificialIntelligence #MachineLearning #DeepLearning #AIInnovation #TechStack #AIDevelopment #DataScience #AIInfrastructure #MLOps #LLM #AICommunity #FutureOfAI #TechTransformation #AIEngineering #AITools #CloudComputing #Innovation #TechTrends

AI agents have hit an inflection point in 2025, becoming autonomous AI systems capable of planning, learning, and acting with minimal human intervention. Industry experts like Andrej Karpathy call this “the decade of AI agents” [Apideck, 2025]. Global Google Trends show “AI agents” search interest peaked mid-2025, reflecting rapid adoption and curiosity. Vendors from Amazon Web Services (AWS) to Google embed AI agents as core automation layers, accelerating productivity and innovation in enterprises [Kellton tech blog, Oct 2025]. The key? Agents seamlessly combine reasoning with execution using underlying data engineering and orchestration frameworks. #AIagents #Automation #FutureOfWork

AI agents are no longer theoretical. They’re operational. Accenture’s AI Refinery™, built on NVIDIA AI Enterprise and now live in the Amazon Web Services (AWS) Marketplace, brings 18 agentic solutions into the hands of businesses ready to move past experimentation. These aren’t generic tools. From the Agentic AI Ordering Agent (co-developed with Amazon Business and AWS) to Agent Builder and Trusted Agent Huddle, they’re purpose-built for real business environments—designed to orchestrate intelligent agents at scale, with industry context baked in. In this short conversation, Chris Wegmann of Accenture and Brian Bohan of AWS unpack what’s new—and why this shift matters for leaders building AI into the fabric of their operations.

AI agents are no longer theoretical. They’re operational. Accenture’s AI Refinery™, built on NVIDIA AI Enterprise and now live in the Amazon Web Services (AWS) Marketplace, brings 18 agentic solutions into the hands of businesses ready to move past experimentation. These aren’t generic tools. From the Agentic AI Ordering Agent (co-developed with Amazon Business and AWS) to Agent Builder and Trusted Agent Huddle, they’re purpose-built for real business environments—designed to orchestrate intelligent agents at scale, with industry context baked in. In this short conversation, Chris Wegmann of Accenture and Brian Bohan of AWS unpack what’s new—and why this shift matters for leaders building AI into the fabric of their operations.

AI agents are no longer theoretical. They’re operational. Accenture’s AI Refinery™, built on NVIDIA AI Enterprise and now live in the Amazon Web Services (AWS) Marketplace, brings 18 agentic solutions into the hands of businesses ready to move past experimentation. These aren’t generic tools. From the Agentic AI Ordering Agent (co-developed with Amazon Business and AWS) to Agent Builder and Trusted Agent Huddle, they’re purpose-built for real business environments—designed to orchestrate intelligent agents at scale, with industry context baked in. In this short conversation, Chris Wegmann of Accenture and Brian Bohan of AWS unpack what’s new—and why this shift matters for leaders building AI into the fabric of their operations.

AI agents are no longer theoretical. They’re operational. Accenture’s AI Refinery™, built on NVIDIA AI Enterprise and now live in the Amazon Web Services (AWS) Marketplace, brings 18 agentic solutions into the hands of businesses ready to move past experimentation. These aren’t generic tools. From the Agentic AI Ordering Agent (co-developed with Amazon Business and AWS) to Agent Builder and Trusted Agent Huddle, they’re purpose-built for real business environments—designed to orchestrate intelligent agents at scale, with industry context baked in. In this short conversation, Chris Wegmann of Accenture and Brian Bohan of AWS unpack what’s new—and why this shift matters for leaders building AI into the fabric of their operations.

AI agents are no longer theoretical. They’re operational. Accenture’s AI Refinery™, built on NVIDIA AI Enterprise and now live in the Amazon Web Services (AWS) Marketplace, brings 18 agentic solutions into the hands of businesses ready to move past experimentation. These aren’t generic tools. From the Agentic AI Ordering Agent (co-developed with Amazon Business and AWS) to Agent Builder and Trusted Agent Huddle, they’re purpose-built for real business environments—designed to orchestrate intelligent agents at scale, with industry context baked in. In this short conversation, Chris Wegmann of Accenture and Brian Bohan of AWS unpack what’s new—and why this shift matters for leaders building AI into the fabric of their operations.