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.
Ammonia production is vital but energy-intensive. MIT researchers are developing catalysts for sustainable electrochemical production.
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.
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.
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.
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 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.
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.
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.
Automate your mortgage lending document intake pipeline with AWS solutions. Save time, reduce errors, and streamline operations for significant cost savings.
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%.
Amazon Quick embedded chat allows seamless integration into web applications. Customize visual theming and tone to reflect your organization's brand and personality for a consistent user experience.
Random forest regression uses an ensemble of simple decision trees to avoid overfitting. Bagging tree regression is a specific kind of random forest regression.