AWS recognized as Leader in Gartner's Magic Quadrant for Data Science and Machine Learning Platforms

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

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

🚀 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!

Stop talking about AI hype—start building real business value. 💡 Hear how Snowflake + Amazon Web Services (AWS) are delivering on the promise of applied enterprise AI, from medical imaging to security. Snowflake's Ryan Green joins Christopher Niederman and AWS's Ryan J Thomas to discuss how our partnership is helping customers use AI to solve real-world challenges. Learn more 👉🏻 http://bit.ly/42oAhra

It was great sitting down with an Amazon Web Services (AWS) former colleague, Ryan J Thomas, to discuss how Snowflake and AWS are partnering to make AI simple, easy, and trusted. Listen to our full conversation to learn about how we're helping our customers put AI to use in their businesses for faster insights, better outcomes, and improved experiences. 🐎🚀 Learn more 👉🏻 https://lnkd.in/g4psTtSM #SnowflakePartners #CustomersFirst #PartnersEverywhere

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

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

Hello LinkedIn, 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐧𝐠 𝐌𝐨𝐝𝐞𝐥 𝐄𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝐒𝐚𝐠𝐞𝐌𝐚𝐤𝐞𝐫 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 The most overlooked step in MLOps isn’t training — it’s evaluation. On AWS, you can automate this to make every model measurable before deployment: - Use SageMaker Pipelines to define post‑training evaluation steps. - Compare model metrics using SageMaker Experiments. - Automate approvals — only promote models meeting thresholds. - Store evaluation results in S3 for transparency and audits. Consistency in evaluation means confidence in production. #AWS #MLOps #SageMaker #MachineLearning #AI #ModelEvaluation #Automation

🎉 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