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.
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 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.
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.
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.
Automate your mortgage lending document intake pipeline with AWS solutions. Save time, reduce errors, and streamline operations for significant cost savings.
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.
ISVs are incorporating AI agents, facing challenges like security and scalability. Axonius uses AWS to manage customer environments, reducing security burdens by 50%.
Eugene Fitzgerald's book "The Invisible Engine" delves into the misunderstood concept of innovation, exploring how it intersects with market applications and technology. Fitzgerald discusses the decentralized collective intelligence that drives innovation, leading to surprises in the marketplace and great profits.
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.
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.