A Technology Broker and Management Company Specializing in KM Systems
Favorite Kimi K3 is a multi-modal, open-weight foundation model (FM) that provider Moonshot AI reported achieved frontier-level coding and general agentic intelligence at release. In addition to global and US-based inference, Amazon Bedrock now supports in-country inference in India for Kimi K3: unblocking local workloads with strict data residency requirements.
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Shared by AWS Machine Learning November 3, 2026
Favorite Conversational AI is transforming how humans interact with technology. From virtual assistants and AI-powered contact centers to real-time translation and accessibility tools, voice-first interfaces are rapidly becoming the default mode of interaction for millions of users worldwide. Yet delivering a truly natural voice experience remains one of the hardest
Read More Shared by AWS Machine Learning November 3, 2026
Favorite In this post, we show how to build a semantic layer for agentic AI using EDB Postgres AI. We run a Strands Agents agent on Amazon Bedrock AgentCore that queries the layer to answer customer 360 (C360) questions. Earlier posts in this series built the same C360 pattern with
Read More Shared by AWS Machine Learning November 3, 2026
Favorite Your professional reputation now lives online first. Recruiters check LinkedIn before returning a call. Clients review your digital presence before booking a first meeting. For ambitious professionals, that shift is an opportunity: a well-crafted online voice can open doors that a résumé alone never could. But standing out takes
Read More Shared by AWS Machine Learning November 3, 2026
Favorite AI agents that interact with enterprise APIs on behalf of users need to maintain user identity throughout the request chain. Without identity propagation, API calls arrive at downstream services as the application itself rather than the user who initiated the action. This breaks audit trails, bypasses user-level access controls,
Read More Shared by AWS Machine Learning November 3, 2026
Favorite Organizations collect data in many forms. Structured data lives in databases and spreadsheets, whereas unstructured data sits in documents, reports, and files stored across file systems. Analyzing both together typically requires switching between multiple tools, running separate queries, and manually correlating results. Amazon Quick addresses this with a unified
Read More Shared by AWS Machine Learning November 3, 2026
Favorite This post was co-written with Marek Klatowicz, Cloud DevOps Engineer at Circle K. Many DevOps teams know the incident triage pattern: An alert fires, and before anyone can fix the problem, an engineer spends 45–60 minutes figuring out what happened. They pull logs, check service health, and correlate symptoms
Read More Shared by AWS Machine Learning November 2, 2026
Favorite When a qualified aerospace component goes obsolete or hits a long lead time, an engineer spends days cross-referencing specifications across vendor datasheets, interface control documents (ICDs), and qualification records before documenting a substitution justification for review. An incorrect substitution on a flight-critical component can cause mission failure, yet the
Read More Shared by AWS Machine Learning November 2, 2026
Favorite You built a shopping assistant on a frontier model, and it works. A shopper asks for “a black waist bag under twenty dollars from a shop with at least 4.5 stars,” and the agent searches the catalog, inspects candidates, checks the constraints, and commits to a recommendation. But what
Read More Shared by AWS Machine Learning November 2, 2026
Favorite When you build Retrieval Augmented Generation (RAG) applications, answer quality depends on the data that you ingest. Amazon Bedrock Knowledge Bases is the fully managed RAG capability of Amazon Bedrock. With Amazon Bedrock Managed Knowledge Base, you connect your data sources, and Amazon Bedrock manages ingestion, storage, indexing, and
Read More Shared by AWS Machine Learning November 2, 2026