Favorite Embedding analytics into a React application introduces complexity when you need per-user authentication. Building the identity layer that bridges Amazon Cognito and Amazon Quick Sight so that each person sees only the data their role permits adds layers of complexity that most tutorials skip. With a dedicated identity layer,
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Shared by AWS Machine Learning September 4, 2026
Favorite Agentic automations are transforming how enterprises run their business processes. Instead of following rigid scripts, AI agents reason about context, adapt to variation, and collaborate with people and other agents to move work forward. Amazon Quick Automate is a multi-agent automation capability within Amazon Quick that helps organizations build,
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Shared by AWS Machine Learning September 4, 2026
Favorite OpenAI ChatGPT Codex with LiteLLM can provide centralized enterprise controls for generative AI coding agents. These agents help developers understand repositories, write code, run tests, and complete multi-step engineering tasks. As organizations move from individual experimentation to managed adoption, teams need a consistent way to control model access and
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Shared by AWS Machine Learning September 4, 2026
Favorite AI is changing the shape of the workday, and effective implementations quietly remove work, which can lead to meaningful time savings. According to a recent Gartner study, AI saves sellers nearly five hours a week. Email is often where that shift shows up first. As a company grows across
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Shared by AWS Machine Learning September 4, 2026
Favorite An agent that works in a notebook isn’t an agent in production. After real users arrive, you own work that has nothing to do with your agent’s reasoning. Keep one user’s session out of another’s, and hold state across turns and days. Auth for every tool the agent calls
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Shared by AWS Machine Learning September 4, 2026
Favorite Engineering teams adopting the AI-Driven Development Lifecycle (AI-DLC) with Amazon Bedrock AgentCore and coding agents like Kiro often struggle with the gap between conceptual frameworks and working code. Amazon Bedrock AgentCore is a service for building, connecting, and optimizing agents at scale with any framework or model. AI-DLC positions
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Shared by AWS Machine Learning September 4, 2026
Favorite This post was co-authored with Marc Steren, Odina Salihbaeva, and Aashrit Surapaneni from University Startups, a partnership between University Startups, g/d/n/a, and AWS. Trinity is a conversational AI solution that helps students with disabilities take ownership of their postsecondary planning. It was developed by University Startups, which was founded
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Shared by AWS Machine Learning September 3, 2026
Favorite Architecture documentation remains one of the most persistent challenges in software development as code bases evolve rapidly. Development teams often spend hours manually creating architecture diagrams, only to watch them become outdated within weeks of deployment. This documentation gap creates knowledge silos, slows developer onboarding, and complicates compliance audits.
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Shared by AWS Machine Learning September 3, 2026
Favorite Picture a scenario familiar to any organization running business intelligence (BI) at scale: A user opens a dashboard minutes before an important meeting and finds a blank chart. Every infrastructure monitor reports healthy. Servers are up, APIs respond, and the data pipeline completed on schedule. Yet the content on
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Shared by AWS Machine Learning September 3, 2026
Favorite Scaling support operations requires handling rising ticket volumes, meeting strict Service Level Agreements (SLAs), adapting to evolving compliance requirements, and maintaining documentation that quickly becomes outdated, all without proportional increases in headcount. In many teams, the knowledge required to resolve tickets is fragmented across SOPs, recordings, and tribal expertise,
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Shared by AWS Machine Learning September 3, 2026