A Technology Broker and Management Company Specializing in KM Systems
Favorite AI agents increasingly need to access web resources that are priced per request. For example, premium datasets charge by the query, research APIs meter by the call, and paywalled publishers gate content behind payment. When an AI agent encounters one of these resources, the server returns HTTP 402 Payment
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Shared by AWS Machine Learning October 14, 2026
Favorite Choosing the right model for a specific application requires a practical way to test it with representative inputs. Amazon SageMaker JumpStart provides access to a broad catalog of already pretrained models. In this post, we show how to deploy an available model from SageMaker JumpStart, run a lightweight and
Read More Shared by AWS Machine Learning October 14, 2026
Favorite Critical cloud exposures pile up faster than security teams can close them. Cloud-native application protection platforms (CNAPP), cloud providers, and posture scanners generate more findings than any team can triage, and risk accumulates in the gap between detected and fixed. Most findings sit untouched, not because they’re hard to
Read More Shared by AWS Machine Learning October 14, 2026
Favorite A financial services team spends significant time each week manually creating client PowerPoint presentations from quarterly reports, compliance documents, and market analyses. Each presentation requires reading hundreds of pages, extracting key data points, structuring slides, and generating supporting visuals. This post walks you through building an AI agent system
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Favorite IDC research shows that document-related challenges cost organizations $19,732 for each information worker annually and reduce productivity by 21.3 percent. Organizations receiving invoices from hundreds of suppliers often face layouts that vary by issuer and change without notice. Template-based systems require constant maintenance at this scale. Staff can spend
Read More Shared by AWS Machine Learning October 14, 2026
Favorite Mixture-of-Experts (MoE) is a sparsely-activated architecture that scales large language model (LLM) capacity while keeping per-token compute low. Because its operations account for a large share of total compute time, inefficiencies there directly raise request latency and cost. Therefore, optimizing MoE operations through kernel engineering offers the largest opportunity
Read More Shared by AWS Machine Learning October 13, 2026
Favorite SpaceXAI’s Grok 4.7 is now available on Amazon Bedrock, which offers a choice of foundation models (FMs) from multiple providers. According to SpaceXAI, Grok 4.7 is trained to work longer on more difficult tasks and knows when to check its own work. That matters most for agents, which carry
Read More Shared by AWS Machine Learning October 13, 2026
Favorite This post is co-written with Kenneth Salmon, Edward Boswell, Jack Armstrong, Robert Bahn, and Nick Ciubotariu from ShipStation Global. Answering the same IT questions and clearing routine tickets drains time that IT teams could spend elsewhere. To reclaim it, the ShipStation Global Engineering team built Deckhand, an AI-powered IT
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Favorite Security analysts need fast answers about their cloud infrastructure without deep familiarity with domain-specific query languages. Orca Security’s tool covers over 900 cloud models (the resource types Sonar tracks, such as an Amazon Elastic Compute Cloud (Amazon EC2) instance or an Amazon Simple Storage Service (Amazon S3) bucket). Querying
Read More Shared by AWS Machine Learning October 13, 2026
Favorite Managing AI model access across dozens or hundreds of AWS accounts creates operational friction when each workload account must subscribe and accept AWS Marketplace Private Pricing Offers (MPPOs) individually. Amazon Bedrock with managed entitlements simplifies multi-account access to third-party AI models so you can subscribe once from a central
Read More Shared by AWS Machine Learning October 13, 2026