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AI got cheap enough that Duolingo’s most expensive plan may not survive it. I read the earnings call transcript and opened the app to see what is actually changing for learners.
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See how GraphRAG on Amazon Neptune connects organizational security context to agentic workflows that produce predictive security guidance.
Build and deploy production-ready AI agents by connecting them to data and services through MCP servers, using Kiro and Amazon Bedrock AgentCore.
See how Netflix combines S3 Storage Lens, Inventory, and access logs to analyze exabytes of storage and find performance bottlenecks across billions of prefixes.
Explore how custom evaluators enable reinforcement fine-tuning of AI models, including RLVR for code generation and RLAIF for AI feedback, with fewer labeled examples.
Explore strategies for making AI a responsible, core part of enterprise transformation initiatives, business processes, and decision-making.
Build production-ready AI agents in TypeScript with Strands, using multi-agent patterns and deploying across cloud platforms.
Design multi-channel customer conversations with autonomous AI agents and AI-powered recommendations for human contact center staff.
See how agentic workflows use Amazon Nova to produce scalable, brand-aligned marketing images while balancing speed and creative fidelity.
Learn how checkpointless recovery and elastic scaling keep large AI model training moving through infrastructure faults and changing accelerator availability.
See how Intuit uses SageMaker with MLflow to track experiments, evaluate models, and manage AI projects without handling infrastructure.
Learn how organizations use Amazon Quick Flows and Quick Automate to implement agentic AI automations across business processes.
Learn how AWS Systems Manager, CloudWatch, and Managed Grafana can simplify instance management and unify multicloud metrics and logs.
Learn how Oracle Exadata hardware in AWS data centers supports low-latency access for Oracle workloads running in AWS.
Learn how AI agents can monitor AWS databases, identify performance and query issues, and recommend optimizations before problems affect production.
Learn how Kiro steering files keep project conventions current and guide consistent, automated code generation across a development team.
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