AWS adds Claude 4.5 Haiku to Amazon Bedrock for AI efficiency

Discover the Latest in AWS! From building powerful AI agents to monitoring them in real time — explore the newest AWS releases designed to boost productivity, visibility, and cost efficiency. #AWS #AmazonBedrock #AgentCore #AmazonCloudWatch #AmazonQuickSuite #AmazonQDeveloper #GenerativeAI #DeveloperTools

In part two of our Leadership Perspective with Ben Schreiner of Amazon Web Services (AWS), we continue the conversation on AI business transformation essentials and look ahead to AI’s long-term impact and its role in the years to come. Read it here: https://lnkd.in/dWidjktw #EnterpriseAI #AgenticAI #AIFuture #AIInnovation #ModernDataStrategy #BenSchreiner #AWS #StayinFront #OnDeviceAI #RetailOptimization #ConsumerGoodsTech #AITransformation

The demand for deploying AI Agents and LLM-powered applications on the cloud is skyrocketing. Every company is racing to set up the right infrastructure to build, deploy, and scale their intelligent systems efficiently. If you’re building on AWS, one of the most powerful ways to bring your AI ideas to life is through Amazon Bedrock — a fully managed service designed to help you build, scale, maintain, and deploy foundation models and AI agent applications seamlessly. In my latest post, I break down everything you need to know to get started with AWS Bedrock — from selecting the right foundation model to integrating it into your architecture and scaling it for production. Whether you’re just exploring LLM infrastructure or preparing to deploy your first AI agent, this guide will give you the clarity and confidence to move fast while staying scalable. View post at --> https://lnkd.in/egySAYjT #AI #AWS #Bedrock #LLM #CloudComputing #AIAgents #MachineLearning

Amazon Web Services (AWS) has added interactive incident reporting to Amazon CloudWatch, giving engineers an AI-assisted way to investigate, analyze, and document system events. The new capability automatically gathers telemetry, correlates data, and generates detailed post-incident reports with timelines, impact assessments, and actionable recommendations. Learn how AWS is using AI to streamline post-incident analysis and improve operational health: https://lnkd.in/dFStbbtx #AWS #CloudComputing #Observability #AIOps #CloudWatch

Todays keynote shares insight into what the Government Digital Service and Department for Science, Innovation and Technology is doing to increase the adoption of AI across wider government... #thinkai Amazon Web Services (AWS) Zaizi

In today's market, pricing is a critical factor for organizations investing in generative AI and agentic AI systems. CoreWeave distinguishes itself by providing transparent, simple, and lower-cost GPU solutions compared to AWS. While AWS may be necessary for certain dependencies, CoreWeave focuses on delivering high GPU performance at a consistently lower price point than major hyperscalers like AWS, Microsoft, and Google. This makes it an attractive option for businesses prioritizing cost-effectiveness without sacrificing performance. #GenerativeAI #AIpricing #CoreWeave #AWS #GPU #CostEffectiveness

The OpenAI-AWS $38B multi-year commitment with AWS deal signals a seismic shift in enterprise AI, it’s beyond the numbers, and it’s happening faster than most realize. Three critical insights should wake up every executive: 1. Model democratization is real. OpenAI is no longer Azure-exclusive. They’re now available on Amazon Web Services (AWS) Bedrock along side with Anthropic with massive number of customers already onboard. The walls are coming down. 2. OpenAI is betting big on their own growth. Reserving compute capacity across multiple clouds isn’t just diversification. It’s a projection of massive consumption. They’re preparing for exponential adoption. If the model providers believe the surge is coming, shouldn’t we? 3. The new gold rush is accelerating. This isn’t a wait-and-see moment anymore. Organizations that hesitate won’t just fall behind. They’ll become irrelevant. And here’s what’s telling: OpenAI is gravitating toward Amazon Web Services (AWS), the most trusted and preferred cloud infrastructure by enterprise customers. That’s not coincidental. It’s strategic alignment with where the market already is. The call to action is clear: • Build a standardized approach with clear best practices and golden paths to AI agents on proven frameworks like AllCloud’s AI Fusion • Establish an AI operating model NOW • Make AI adoption a strategic priority, not an innovation experiment The fast train to AI has left the station. The question isn’t whether to board. It’s whether you can still catch it. So ask yourself: What does your 2026 AI budget look like? Did you take it seriously enough? #AIFusion #GenerativeAI #AWS #AllCloud #EnterpriseAI #AITransformation Eran Gil, Ronit Rubin, Jonathon Nisenboum, Peter Nebel, Gabriel Romero , Joanne Pallas, Omri Kovalski, Evan Reese, CDMP, CDVP2, Amir Hunga, Marco Koch-Ribeiro, Hannes Novak, Gregg Kitaeff, Tonio Fruehauf, Hans Schabert, Ilan Froimovici, Shay Wissotzky Cohen 🇮🇱🎗, Kiran Randhi, Nadia A Riordan

When evaluating AI services, pricing is a critical consideration. CoreWeave distinguishes itself by offering transparent, simple, and generally lower GPU pricing compared to AWS, Microsoft, and Google. While AWS has a broader ecosystem, its pricing is more complex, and deep discounts require long-term commitments. CoreWeave also excels in deployment speed, launching large GPU clusters in seconds, a process that can be slower and require approvals on AWS. For those prioritizing rapid deployment, CoreWeave emerges as the preferred option. #GPU #CoreWeave #AWS #Pricing #Deployment #AI

Amazon Web Services (AWS) and OpenAI have entered a $38B multi-year strategic partnership under which OpenAI will leverage AWS’s world-class infrastructure. It reaffirms the strategic role AWS is playing in supporting frontier AI innovation while signalling that the compute demand of tomorrow’s models is already here — and we are building to support it. For our customers and partners, this is a powerful message: when you’re looking to build and scale next-generation AI, AWS is the platform of choice. https://lnkd.in/ew3ijTmE

From Reactive to Agentive: How AI is Redesigning Public Services As the UK government accelerates efforts to embed AI into public service delivery, a shift is underway from reactive systems to agentive ones, capable of anticipating needs, personalising support, and scaling human capacity. https://lnkd.in/eafi6R63 #thinkai Deepak Shukla Amazon Web Services (AWS) Matthew Schutz Capita Hugh Stickland Ministry of Justice UK #govai #publicsector