"Realistic Gen AI Migration on AWS: A Step-by-Step Guide"

Amazon has officially rolled out Quick Suite for enterprise - bringing together analytics, autonomous agents, and automation in one unified workspace. The vision: empower every business user not just to make quicker decisions but to act faster with the help of a set of intelligent AI teammates. Quick Suite is another milestone in AWS’s trajectory toward intelligent automation and follows announcements about enabling infrastructure through Amazon Bedrock AgentCore, agents in the AWS Marketplace, and higher investment in agentic AI Research and Development. Read our reaction to the announcement and download our new Agentic AI playbook, built on insights from 850+ AI projects here: https://lnkd.in/eqAtpUA7 #AWS #QuickSuite #AI #Automation #EnterpriseAI Amazon Web Services (AWS)

AWS Launches DeepSeek-V3.1: A Game Changer in AI Models - What it is: AWS introduces DeepSeek-V3.1, a hybrid open weight model available in Amazon Bedrock. - Why it matters: This model enables detailed analyses in "thinking mode" while offering quicker responses in "non-thinking mode," enhancing efficiency for users. - Actionable step: Explore how to integrate DeepSeek-V3.1 into your applications by checking the AWS documentation. - Watch out: Keep in mind that hybrid models may require careful tuning to optimize performance for specific tasks. - Question: How do you think hybrid models like DeepSeek-V3.1 can transform your workflows? #AWS #AmazonBedrock #ArtificialIntelligence #DeepLearning #HybridModels #TechInnovation #AIApplications #MachineLearning #CloudComputing #DataAnalysis (Source: https://lnkd.in/dG8kKMyA)

Implementing AI Agents in your org? From automating operations to powering real-time decision-making, AI agents are becoming the new enterprise backbone. And AWS is leading the way. With tools like Bedrock, SageMaker, and Lambda, AWS is enabling teams to build, deploy, and scale agents with unmatched control and reliability. In our new e-guide “AI Agents at Scale”, we dive deep into AWS’s world of agentic AI. In the guide, we break down how organizations are: → Designing purpose-built AI agents using AWS tools → Embedding security, trust, and guardrails from day one → Turning prototypes into scalable, production-grade systems If you’re leading AI transformation in your organization, this is a must-read. Download the full guide: https://lnkd.in/gRWTBf2n Want to get hands-on? Explore our AWS GenAI Essentials training: https://lnkd.in/gs3QGY6x #AWS #AgenticAI #GenerativeAI #AIAgents #CloudComputing #AWSBedrock #SageMaker #NetComLearning

What happens when AI models get confused about where they're running? 🤔 Amazon Bedrock just introduced global cross-region inference with Claude Sonnet 4.5, and it's changing how we think about AI infrastructure. Instead of being locked to specific regions, your inference requests can now route globally across AWS's commercial regions—automatically finding available capacity worldwide. 📊 Key benefits emerging: • Enhanced throughput during peak demand • 10% cost savings on token pricing • On-demand quota flexibility across regions This matters because traditional approaches require complex client-side load balancing and leave you vulnerable to regional capacity limits. AWS Bedrock now handles traffic spikes automatically while maintaining centralized monitoring through CloudWatch and CloudTrail in your source region. The intelligent routing considers model availability, capacity, and latency to optimize each request without manual configuration. For organizations running business-critical AI applications, this removes a major infrastructure headache while actually reducing costs. 🎯 Ready to level up? Dive into this comprehensive guide (https://lnkd.in/gNVrEGMy) What's your biggest challenge with AI infrastructure scaling—regional capacity limits or cost optimization? #AWS #ArtificialIntelligence #CloudInfrastructure #MachineLearning #AnthropicClaude

Every now and then, Amazon Web Services (AWS) drops something so potent that it changes how we think about building with AI. The early notes about Amazon Bedrock #AgentCore feel like one of those moments. From the preview so far, the signal is the need for a framework that lets agents operate with identity, memory and control - all inside enterprise boundaries. That direction makes a lot of sense. We’re reaching a stage where enterprises don’t just want AI that answers questions. They want AI that acts - safely, observably and within policy. The architecture challenge now is bigger than deploying a model. At goML, we’ve been exploring this shift closely with customers. The goal is to build AI systems that think and act in ways businesses can trust. AgentCore feels like the early foundation for that future. And it’s a future that will be shaped as much by architecture as by intelligence.

🎉 Exciting news! Deepchecks has officially achieved the AWS Generative AI Competency This recognition from Amazon Web Services (AWS) highlights our proven expertise in helping customers implement, validate, and govern generative AI systems at scale, turning experimentation into production-ready AI. With Deepchecks, AI teams can automate validation, ensure compliance, and measure progress across their LLM workflows directly within AWS. 💡 Through the Partner AI Apps Program, Deepchecks is one of only a few hand-picked solutions available natively in SageMaker AI, meaning customers can now run LLM evaluation securely inside their AWS environment with no external setup needed. This milestone reflects our ongoing collaboration with AWS to build trustworthy, auditable, and high-performing AI systems for enterprise environments. Learn more about how Deepchecks works with AWS 👉 https://lnkd.in/eJwMGHBf #GenerativeAI #SageMaker #Bedrock #LLMEvaluation #AISafety

Generative AI needs trusted, ready-to-use data. But disconnected systems and manual processes slow progress. Watch this on-demand webinar with Qlik and Amazon Web Services (AWS) to see how to make your data AI-ready, eliminate silos, reduce risk, and deliver insights when they’re needed. https://bit.ly/3VLVNCw

Generative AI is delivering measurable results for enterprises. The real value comes when productivity gains can be quantified time saved, workflows streamlined, and faster decisions at scale. Our latest post breaks down how AWS Generative AI deployments drive ROI in clear business terms, giving leaders confidence to invest and expand. 🔗 Read the full blog here: https://lnkd.in/gZ2TAR-a #GenerativeAI #AWS #Productivity #ROI #CloudTransformation #Easycoder

I'm excited to announce that my new course on AWS Skills Builder is now live, focusing on a fundamental aspect of AI development: Memory Systems in AI Agents. This comprehensive course delves into Bedrock AgentCore Memory, demonstrating how it empowers developers to create sophisticated AI agents that transcend basic question-answering capabilities. You'll learn to develop intelligent, adaptive systems that deliver meaningful value through effective memory utilization. AWS Partner: Amazon Bedrock AgentCore Memory https://lnkd.in/eJfg_hBR #AWS #BedrockAgentCore AWS Partners #SkillBuilders

Every AWS consulting partner says they’re different. Few can prove it. The Amazon Web Services (AWS) ecosystem is crowded. Same list of services. Same promises. Same "cloud-first" language. But real differentiation comes from how you drive outcomes. At Armakuni, our PUSH framework helps businesses avoid common AI mistakes and invest wisely, keeping projects practical, scalable, and ethical. That’s how we’ve helped enterprises move beyond generic lift-and-shift. With Amazon Connect and Generative AI, we’re enabling: Smarter customer interactions through AI-powered voice and chat. Faster resolution with predictive insights. Clear ROI through cost transparency and efficiency gains. The market will only get more crowded. The difference won’t be in what firms say, it’ll be in who can prove outcomes faster and better. #GenAI #AmazonConnect #AWS #PUSHFramework