InfoWorld AI·
AWS is offering to help enterprises address the growing cost of retaining telemetry for talkative AI applications with a new engine for its managed Amazon OpenSearch Service optimized for log analytics, which it claims can reduce storage costs by 70% and at the same time deliver better price-performance. AI and agentic applications are generating more telemetry than conventional observability architectures were built to manage economically, forcing enterprises to balance retaining the operational data needed for security, compliance and incident response against rising related infrastructure costs. The new engine will allow customers to continue using the same management console, APIs, security model and networking configuration as the service’s existing general-purpose engine, while storing data in Apache Parquet format and maintaining Lucene search indexes for searchable fields, AWS said. It uses Apache Calcite to parse and optimize queries before routing analytical operations to Apa
Read full articleAmazon Web Services has launched a dedicated internal organization of forward-deployed AI engineers, committing $1 billion in internal resources to help enterprise customers move beyond AI experimentation and into operational deployment. The new group will embed AWS engineers directly within client organizations to build and install purpose-built agentic systems, with an emphasis on speed and […]
Meta's cloud venture could reshape its revenue model, diversify beyond ads, and intensify competition in the AI-focused cloud market. The post Meta plans cloud infrastructure business to compete with AWS, Azure, Google Cloud appeared first on Crypto Briefing.
The launch of BNB Agent Studio could revolutionize digital asset management, enabling seamless integration and monetization of AI agents. The post BNB Chain launches AI agent platform built with AWS appeared first on Crypto Briefing.
Build and deploy an agent on AWS with Strands and AgentCore The post Build and Run Your Own AI Agent in the Cloud appeared first on Towards Data Science.
New research from Pearson and Amazon Web Services has found that while AI use among US college students is widespread, a significant disconnect remains between how students engage with AI tools and the skills employers actually need from graduates entering an AI-driven workforce. The study, based on more than 500 survey responses from learners, employers, […]
AWS's AI engineer embedding program could significantly enhance customer innovation and operational efficiency, impacting industry standards. The post Amazon Web Services pours resources into AI engineer embedding program for customers appeared first on Crypto Briefing.
Welcome to AI Insider’s The Week Ahead in AI. See the key developments and events we’re watching June 28-July 4. Weekend AI News Briefs Google Caps Meta’s Gemini Use as AI Demand Strains Capacity The Financial Times reported that Google has capped Meta’s access to its Gemini AI models after the social media company requested more […]
Following a seven-month investigation, the European Commission has reached a preliminary decision that Amazon’s and Microsoft’s cloud platforms — AWS and Azure, respectively — should be classified as “gatekeepers” under the EU’s Digital Markets Act (DMA), Reuters reports. The DMA, also known as the Digital Markets Regulation, aims to limit the market power of dominant players. For cloud services, this would entail, among other things, requirements for increased interoperability and data portability, as well as restrictions on how these services might favor their own products and services. The Commission pointed, among other things, to AWS and Azure’s large market shares, extensive investments, large customer bases, and high costs for customers who wish to switch providers. If the decision is approved, the companies would be subject to the same type of regulations that apply to several of the largest technology platforms. Both Amazon and Microsoft were critical of the assessment. Amaz
