How AWS GenAIIC helps customers deploy AI in 45 days

Crayon is proud to partner with EPTA GROUP and Amazon Web Services (AWS) to show how Generative AI can deliver real value. From boosting efficiency to joining the AWS #GenerativeAI Partner Innovation Alliance, we’re helping businesses worldwide turn AI potential into impact. Read the blog post: https://lnkd.in/dQrBmrKb Mirche Mirkoski, Carlos de Leon

🎉 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

AWS is reinvesting $100M into its #GenAI Innovation Center and that’s trust in innovation. See what was announced at AWS Summit NYC 2025 and how agentic AI is shaping what’s next. https://dy.si/1TaF532

🚀 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!

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

From Gen AI to ROI — Faster than Ever 🚀 Too many AI projects get stuck in endless pilots, with data silos, manual steps, and no clear path to production. That changes now. With the Renova AI Factory, built 100% on AWS and powered by Amazon Bedrock, we help enterprises accelerate from idea → POC → production — turning AI into real business outcomes faster than ever. Watch the video 🎥: https://lnkd.in/gckZ9-v9 Learn more & contact us: https://lnkd.in/guiU7S4s #RenovaCloud #RenovaAIFactory #GenerativeAI #AWS #FromAItoROI

Developing gen AI and machine learning solutions at scale brings unique challenges, from data management to governance to collaboration across enterprise teams. Gartner has recognized Amazon Web Services (AWS) as a Leader in the 2025 Magic Quadrant for Data Science and Machine Learning Platforms for their ability to help organizations overcome these hurdles. With Amazon SageMaker AI, you get comprehensive tools, infrastructure, and workflows to accelerate your gen AI and ML initiatives from experiment to production.

I've seen it countless times: a client walks in, buzzing with excitement, thinking we can flip a switch and have revolutionary Generative AI running instantly. The reality? In production, "move fast and break things" is just moving fast to create a massive, expensive mess. Migrating your AI workloads to the cloud, specifically AWS, isn't a single magical leap. It's a strategic transformation - moving your AI capabilities from a hopeful possibility to a concrete reality, one well-planned step at a time. Yes, we charge premium rates, and that's because we bring a non-negotiable level of rigor. We don't have a magic wand, but we do see the pitfalls and complexities that you might be overlooking. Our value is in delivering predictable, scalable, and secure results. To help set realistic expectations (and avoid the "instant AI" myth), we approach Gen AI migrations by classifying the complexity: 𝟏. 𝐒𝐢𝐦𝐩𝐥𝐞 𝐀𝐏𝐈 𝐄𝐧𝐝𝐩𝐨𝐢𝐧𝐭 𝐒𝐰𝐢𝐭𝐜𝐡𝐢𝐧𝐠 - Timeline: 1 to 4 Weeks - What it is: A basic transition from externally hosted AI endpoints to Amazon Bedrock. - Positioning: "Quick Wins with Minimal Disruption." This is perfect for validating AWS benefits and achieving immediate, low-effort results. You can even switch back if needed. 𝟐. 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐖𝐨𝐫𝐤𝐥𝐨𝐚𝐝 𝐌𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧 - Timeline: 1 to 3 Months - What it is: For customers who need customization like fine-tuning models on their proprietary data. - Positioning: "Enhanced Capabilities While Maintaining Business Continuity." 𝟑. 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐌𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧 - Timeline: 4 to 6 Months - What it is: The full journey: complex implementations including data dependencies, RAG (Retrieval Augmented Generation) components, and autonomous agents. - Positioning: "Comprehensive Transformation for Long-Term AI Success." My team specializes in guiding you through this structure, ensuring we always prioritize stability, security, and true business value over rushed implementation. If you're ready to move past the hype and build a realistic, high-impact Gen AI strategy on AWS, drop a comment or send me a DM. Let's talk about where your vision fits on this timeline. #GenAI #AWS #CloudMigration #AmazonBedrock #AIStrategy #DigitalTransformation

There’s momentum around AI. But is your workforce ready to match it? Organizations making early moves to upskill and embed AI into daily workflows are gaining an edge. Read one of our latest reports — created in collaboration with Amazon Web Services (AWS) — to discover how top leaders are scaling AI capabilities across their teams: https://ibm.co/6043BJlY1

AI is moving fast — is your workforce keeping up? ⚡ Discover how top organizations are upskilling teams and embedding AI into daily workflows for a real competitive edge. Read the full report : https://ibm.co/6043BJlY1 #AI #Upskilling #FutureOfWork IBM Institute for Business Value #IBM