AgentCore by Amazon Bedrock uses agentic AI to streamline cloud migrations. It reduces IaC development time from weeks to minutes for over 300 applications. The framework includes four agents for automated discovery, IaC generation, governance, and proactive operations.
Agentic AI relies on vector search for accurate, contextual knowledge retrieval across various data sources. Vectors enable semantic search, anomaly detection, and personalized recommendations, revolutionizing AI applications.
Amazon Bedrock AgentCore now offers Policy, enabling teams to implement controls on AI agents to align with organizational policies and regulatory constraints. The new capabilities include enforcing restrictions like rate limiting and sequential ordering of tool calls using the open source governance language Dogwood.
AI Hallucinations occur when AI models output incorrect information as fact, sparking new business opportunities. Preventing hallucinations with retrieval-augmented generation is crucial for industries like finance, law, and healthcare.
Amazon Bedrock now offers OpenAI GPT-5.6 with cross-Region inference, improving throughput and performance. Three variants - Sol, Terra, and Luna - cater to different capability and cost balances, supporting geographic and global inference profiles for scalable AI processing.
Automate your mortgage lending document intake pipeline with AWS solutions. Save time, reduce errors, and streamline operations for significant cost savings.
KnowledgeForge mines ITSM resolved incident tickets for valuable knowledge, while curating and improving the existing messy knowledge base. Built on AWS, it uses Amazon Bedrock, S3 Vectors, and Step Functions for efficient document processing and AI generation.
Fanatics Betting and Gaming (FBG) uses AWS to create a multi-agent support system for sports betting, improving customer experience and reducing costs. FBG's AI system on AWS handles diverse customer queries autonomously, escalating to human agents when necessary, ensuring fast, accurate responses during high-traffic events.
Amazon Bedrock AgentCore introduces runtime domain and date filtering for Web Search, allowing per-call control over sources and publication dates. New capabilities expand Web Search availability to EU and Asia Pacific, reducing latency and enabling regional access for regulated customers.
AgentCore payments, in collaboration with Coinbase and Stripe, enables agents to autonomously pay for services and content with a few lines of code. The service, now generally available, provides wallet support and payment orchestration, allowing for secure, protocol-agnostic transactions for enterprises.
ISVs are incorporating AI agents, facing challenges like security and scalability. Axonius uses AWS to manage customer environments, reducing security burdens by 50%.
Random forest regression uses an ensemble of simple decision trees to avoid overfitting. Bagging tree regression is a specific kind of random forest regression.
Jumio tackles fraud with real-time ML models using a centralized feature store on AWS, ensuring sub-100ms latency. The architecture simplifies feature engineering, deployment, and management for timely fraud detection.
AIDA, powered by AWS, transforms complex legal contracts into actionable intelligence, improving search accuracy for enterprises. Using RAG architecture and Amazon Bedrock, AIDA enables precise contract retrieval through metadata-enriched chunking and intelligent filtering mechanisms.
Researchers at MIT's CSAIL uncover attribution decay in AI image generators, showing that large datasets make individual training examples irrelevant. Their diffusion ensemble architecture offers an exact method for large-scale deletion without changing the output, revolutionizing attribution in AI models.