Crayon’s Post

🎉 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

Businesses today need more than just technology; they need resilience, agility, and insights powered by advanced AI tools. That’s where AIOps comes in.   Our exclusive webinar, “Build Business Resilience with AIOps”, dives into how Dynatrace and AWS are transforming observability and AI applications to deliver real-world success. Watch the webinar on-demand now: https://lnkd.in/eFE_qEC4 #Dynatrace #AWS #AIOps #Observability

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

Check out this dynamic discussion between IDC, Amazon Web Services (AWS), and Dynatrace, exploring the evolving AI observability landscape. Drawing on fresh insights from IDC research, this session unpacks what’s keeping IT leaders and CISOs up at night, and how modern observability strategies are enabling organizations to confidently operationalize GenAI and agentic AI applications at scale. Whether you’re exploring early GenAI projects or scaling mission-critical AI workloads, this session will equip you with actionable insights to future-proof your AI initiatives. https://lnkd.in/emEaBwHr

Since 2023, the Amazon Web Services (AWS) Generative AI Innovation Center (#GenAIIC) has been helping customers realize the value of their AI investments, starting with production ready pilots, and moving to production grade applications and systems. This year, 65% of customer initiatives have moved from proof of concept into production, some ready in as little as 45 days, demonstrating that guided implementations can improve success rates. The combination of expert guidance, partner collaboration, and proven deployment methodologies creates repeatable patterns for crossing the GenAI divide. Today, we're sharing how we get it done! Read more from the team here: https://lnkd.in/gRJNQAth Swami Sivasubramanian, Francessca Vasquez, Rahul Pathak, Scott Liska, Jason Bennett, Sri Elaprolu, Amanda Cohen, Jaime Wilde (Rice), Diego Socolinsky, Sabine Khan, Andrea Jimenez Fernandez, Randi Larson, Shaun Collett

🚀 The power of #AWS lies not only in the platform itself, but in the ecosystem of AWS Partners building solutions on top of it. With the launch of AI agent solutions in AWS Marketplace, organizations now have one single repository to discover, access, and integrate ready-to-use tools, agentic AI frameworks, and pre-built solutions. 👉 This means less time reinventing, and more time accelerating business impact. 👉 It also ensures you can rely on trusted AWS Partners whose expertise is packaged into solutions that scale. If you’re exploring how to bring agentic AI into your stack DM me, the AWS Marketplace is now the fastest way to get started. #AWSMarketplace #agenticAI #AWSPartners

🚀 Building LLM Judges that Scale Join SuperAnnotate & Amazon Web Services (AWS) for a deep dive on designing robust LLM Judge systems that turbocharge AI evaluation. Learn how top teams use models on Amazon Bedrock for judging—and sharpen accuracy with human-in-the-loop annotation in SuperAnnotate. What to expect: 🧠 Judge patterns: grounded-ness, safety, relevance, and tool-use scoring ⚙️ Architecture: Bedrock + Guardrails/KBs + S3/SageMaker + SuperAnnotate workflows 🔁 Calibration loops: gold sets, regression gates, and continuous improvement 📊 Tradeoffs: balancing speed ⏱️, cost 💰, and quality ✅ Nneoma Okoroafor renée berry!

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

Discover how AI is transforming public service and community engagement with the Granicus Artificial Intelligence Resource Hub, powered by Amazon Web Services (AWS). Access expert insights and on-demand materials today to see how AI/ML can drive more personalized, human-centered government experiences: https://carah.io/451376

Amazon Web Services (AWS) extended its agentic AI strategy with Amazon Quick Suite and new conversational AI capabilities for Amazon S3, connecting data management and enterprise productivity under the Amazon Q intelligence layer. Read the full article: https://lnkd.in/eudZcdy7 #AWSNews #AmazonQuickSuite #CloudNews