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Favorite Your enterprise data lives in dozens of systems, but often the work happens in Microsoft 365. Amazon Quick bridges that gap as an AI assistant grounded in your data, now available directly inside Microsoft Word, Excel, PowerPoint, and Outlook. These extensions don’t require you to adopt a new application
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Shared by AWS Machine Learning August 14, 2026
Favorite Mergers and acquisitions (M&A) teams face a persistent challenge: conducting thorough due diligence on multiple acquisition targets while maintaining speed and analytical rigor. Teams often spend weeks manually reviewing targets before identifying viable opportunities. Amazon Bedrock AgentCore is a platform to build, connect, and optimize agents at scale, with
Read More Shared by AWS Machine Learning August 14, 2026
Favorite Enterprises across healthcare, manufacturing, retail, and financial services struggle to automate legacy web applications that demand human-like interaction beyond what standard Robotic Process Automation (RPA) can provide at scale. Amazon Bedrock AgentCore Browser Tool, combined with Strands Agents, addresses this gap with a fully managed browser service that lets
Read More Shared by AWS Machine Learning August 14, 2026
Favorite When you deploy AI agents built with frameworks like Strands Agents, LangGraph, and CrewAI, you need observability into their performance. This holds true whether they run on Amazon Elastic Kubernetes Service (Amazon EKS), Amazon Elastic Container Service (Amazon ECS), AWS Lambda, on-premises, or another cloud provider such as Google
Read More Shared by AWS Machine Learning August 14, 2026
Favorite Sheets canvas turns data into interactive dashboards, custom study trackers, seating charts, and more, all with a simple prompt. View Original Source (blog.google/technology/ai/) Here.
Favorite Running large language model (LLM) inference at scale typically forces a KV cache trade-off: you either pay for oversized GPU instances to accommodate a growing KV cache, or you accept slow time-to-first-token (TTFT) as identical prompts get recomputed on every request. For teams deploying a broad catalog of publicly
Read More Shared by AWS Machine Learning August 13, 2026
Favorite This post is co-written with Patrick Duffy from Solv Labs and Houman Shadab from ICME Labs Solv Labs built an AI agent-payments workflow using Amazon Bedrock AgentCore payments, a capability of Amazon Bedrock AgentCore, governed by two layers: ORACLE (Solv’s policy engine) and ICME PreFlight for compliance verification. AgentCore
Read More Shared by AWS Machine Learning August 13, 2026
Favorite This post is co-authored with OneAdvanced team Deploying AI agents on a United Kingdom (UK)-sovereign AWS architecture requires careful decisions about model hosting, data residency, and agent orchestration. OneAdvanced, a UK-based enterprise software provider serving over 10,000 customers, needed to deliver AI capabilities while making sure that no data
Read More Shared by AWS Machine Learning August 13, 2026
Favorite Part 1 introduced granular cost attribution for Amazon Bedrock. This feature automatically traces every inference request back to the IAM principal that made the call. It showed how the new line_item_iam_principal column can give you per-user and per-application visibility. With optional cost allocation tags, you can also aggregate spend
Read More Shared by AWS Machine Learning August 13, 2026
Favorite A surge of openness in AI has defined 2026. Amid calls for both caution and support, prevailing trends point to a future in which models are built and released openly. Recent research offers new insight into the adoption of open AI systems, who benefits, and the role of Open
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Shared by voicesofopensource August 12, 2026