Machine learning quadratic regression uses QR-Householder OLS solver for accurate predictions. L2 regularization boosts accuracy to 95%.
Panasonic Avionics Corporation partnered with AWS to develop an AI system for quicker diagnosis of in-flight entertainment system issues, reducing analysis time and enhancing accuracy. The solution uses Amazon Bedrock, Amazon SageMaker, and AWS Glue to optimize operational efficiency and engineering productivity at scale.
Query-aware compression reduces input tokens for Amazon Bedrock's RAG applications, optimizing cost-performance tradeoff. By filtering irrelevant context before final answer call, builders achieve significant cost savings while maintaining answer quality.
Part 3 of the series integrates Amazon SageMaker Canvas predictions with Amazon Quick Sight to create interactive fraud detection dashboards. Amazon Quick Sight offers generative BI capabilities for deep data analysis and natural language insights.
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 offers intelligent security for FHIR APIs by monitoring access patterns and automating data sensitivity classification. The solution includes anomaly detection, natural language compliance reports, and utilizes AWS services like Lambda, API Gateway, and HealthLake.
Ammonia production is vital but energy-intensive. MIT researchers are developing catalysts for sustainable electrochemical production.
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.
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.
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.
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.
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.
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.