AWS Marketplace launches AI agent solutions for businesses

When it comes to AI-focused support and ease of use, CoreWeave stands out for its direct, responsive assistance tailored to AI use cases. Unlike AWS, which requires navigating through various specialized teams, CoreWeave offers streamlined support from experts focused solely on AI, simplifying the process of building and deploying AI systems. CoreWeave's AI-centric interface and easy onboarding make it accessible for machine learning teams, while AWS, despite its power, presents a steeper learning curve due to its complexity and breadth of services. For general-purpose IT needs, AWS remains the superior choice, but for AI-specific tasks, CoreWeave provides a more focused and efficient solution. Considering a multi-cloud approach? Mixing CoreWeave with other hyperscalers could be beneficial but requires careful consideration of added complexity and costs. #AIsupport #CoreWeave #AWS #MachineLearning #CloudComputing #AISolutions

https://lnkd.in/eYbdq8X3 Turn small scrappy wins into robust, secure systems that scale with #AI! ✨ Learn how to bridge the gap between no-code prototypes and enterprise solutions. Discover where no-code shines, where it breaks, and how to implement AI effectively, focusing on people, processes, data, and governance. Compare OpenAI, Azure, and AWS in practical terms, and surface security and compliance items that make or break production use. Build hybrid solutions for fast iteration and enterprise-grade controls. Choose the right platform with confidence! #ScalableWorkflows #NoCode #EnterpriseSolutions #ArtificialIntelligence

Build context-aware AI agents that remember & learn from every interaction with #AmazonBedrock AgentCore Memory 🧠⚡🎯 https://go.aws/4gKVHED #AgentCore Memory transforms stateless AI conversations into continuous, evolving relationships through intelligent short-term & long-term memory capabilities. Developers can now build agents that maintain context across sessions while ensuring secure, scalable memory management without complex infrastructure setup. Read the blog to learn more ⬆️ #AWS #agenticAI

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

🎉 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

🎉 Another great news from Yaqeen Technology! 🎉 We’re excited to share that our team has achieved the AWS Generative AI Services Competency — recognizing our expertise in delivering advanced Generative AI solutions on AWS. 🚀 This milestone strengthens our collaboration with AWS and highlights our commitment to innovation, automation, and cloud excellence. 🌩️ 🔗 Learn more about our partnership: https://lnkd.in/gAdZ5hZy #AWS #GenerativeAI #YaqeenTechnology #AWSPartner #Innovation #AI #CloudComputing #DigitalTransformation #AWSCompetencyPartner

🌟 I had the pleasure of attending the "Top Trending Generative AI Use Cases on AWS" live webinar — and it was truly insightful! From transforming customer experience with intelligent virtual assistants to redefining productivity with AI code generation and content creation, the use cases presented were both innovative and practical. 💡 🚀 Key takeaways: Generative AI is rapidly shifting from experimentation to real-world deployment. AWS offers robust and scalable tools to power enterprise-level AI solutions. Responsible AI and explainability remain key focus areas for successful adoption. Grateful for the opportunity to stay ahead of the curve and see how cloud platforms like AWS are shaping the future of AI development. #GenerativeAI #AWS #AIUseCases #CloudComputing #MachineLearning #Innovation #TechTrends #AIonAWS #LLMs #ArtificialIntelligence

🚀 Do You Know – Ep 6: Amazon Q - The AI Whisperer for AWS 💡 What’s the Buzz? Amazon Q is AWS’s next-gen AI assistant - your cloud-smart copilot that understands your AWS setup, code, and even business data. 🧠 Why It’s Special: Unlike generic AI models, Amazon Q is context-aware. It understands IAM roles, CloudFormation templates, logs, and cost metrics - helping you debug, optimise, and even write code directly inside the AWS Console. ⚙️ How It Fits in the AI Stack → Amazon Bedrock - The foundation for generative AI models. → Bedrock AgentCore - The engine room that orchestrates reasoning and actions. → Amazon Q - The assistant layer that interacts with you and makes all of it accessible. 🗣️ Think of it this way: → Bedrock builds the brain, → AgentCore wires the neurons, → Amazon Q gives the brain a voice. 💬 Takeaway: → Amazon Q isn’t just smart - it’s specialised. It’s where AI meets your AWS reality. 🔗 Explore more: https://aws.amazon.com/q/ #AWS #AmazonQ #GenerativeAI #Bedrock #DoYouKnowSeries #TechNarrative #VishwaExplains #AgentCore

In our latest Leadership Perspective, Ben Schreiner, Head of AI and Modern Data Strategy BD at Amazon Web Services (AWS), shares his thoughts on the future of enterprise AI. With over 30 years of global experience spanning enterprise tech, start-ups, and financial services, Ben provides a unique perspective on driving innovation through emerging technologies like AI. Read the Leadership Perspective to learn more: https://lnkd.in/ete3965s #EnterpriseAI #AgenticAI #AIFuture #AIInnovation #ModernDataStrategy #BenSchreiner #AWS #StayinFront #OnDeviceAI #RetailOptimization #ConsumerGoodsTech #AITransformation

𝗕𝗶𝗴 𝗡𝗲𝘄𝘀 𝗳𝗿𝗼𝗺 𝗔𝗪𝗦 𝗕𝗲𝗱𝗿𝗼𝗰𝗸! Starting October 8, 2025, Amazon Bedrock is simplifying access to foundation models. All serverless foundation models will be automatically enabled for every AWS account - no more manual subscription process. Account administrators retain full control through IAM policies and Service Control Policies (SCPs) to restrict access as needed. 𝗪𝗵𝘆 𝗧𝗵𝗶𝘀 𝗠𝗮𝘁𝘁𝗲𝗿𝘀: Faster time-to-market for AI applications Reduced onboarding friction for new developers More accessible AI development across the AWS ecosystem This change means developers can now easily switch between Claude, GPT, Llama, and other models without waiting for manual approvals. Perfect for building multi-model applications and comparing different AI capabilities. The AI landscape continues to evolve rapidly, and AWS is making it easier than ever to build with multiple foundation models. #AWS #Bedrock #AI #MachineLearning #CloudComputing #DeveloperExperience #ArtificialIntelligence