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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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Explore how CPU-first AWS infrastructure and open-source alternatives can make generative AI inference more cost-efficient and give teams greater control over data privacy.
See how cloud teams can extend protection beyond backups by isolating recovery data, detecting attacks, and orchestrating rapid recovery across regions and clouds.
See how Ericsson uses multi-agent AI and reinforcement learning to automate radio access network optimization and improve coverage, capacity, and quality.
See how generative and agentic AI can reconstruct business workflows and domain models from legacy codebases to guide modernization.
Cox Automotive’s blueprint shows how Agentic AI moved from experimentation to production in one month, using reference architectures and governance frameworks.
See how BMW RemoteServices reshaped its backend into a serverless, event-driven architecture for scaling and faster innovation.
See how Kiro CLI uses project context, code diffs, and shell commands to carry out multi-step software development tasks with minimal human intervention.
Compare Fargate, ECS Managed Instances, and self-managed EC2 to choose compute options for different workload patterns and operational needs.
Learn how multi-Region architectures use bounded recovery targets and strong consistency to keep applications resilient through maintenance and failure.
Explore how a low Earth orbit satellite network can extend reliable, low-latency connectivity to remote operations and edge computing.
Profile LLMs on AWS accelerators and build custom NKI kernels to improve inference performance.
Explore how Amazon SageMaker can anchor AI-ready data platforms that balance innovation with enterprise control.
See how SageMaker Unified Studio connects data, analytics, and AI through updated catalog capabilities and a lakehouse architecture.
DraftKings describes how AWS Local Zones support gaming compliance and expansion across U.S. states while maintaining uptime and resilience.
Smarter abstractions can help teams safely ship AI-generated code when its volume overwhelms traditional DevOps.
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