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We shared how Samsung users can boost productivity and get time back on new foldables, watches, and glasses coming soon. ​ 

When you fine-tune a model using Supervised Fine-Tuning (SFT), creating high-quality chain-of-thought (CoT) reasoning traces for your training data is often impractical and can be prohibitively expensive. As a result, you might choose to skip reasoning during SFT and train with only inputs and outputs. However, reasoning is a key capability of the Amazon Nova

With the stock firmware and software, developers couldn’t modify their AWS DeepRacer devices to use the latest operating systems. Now, developers can upgrade or install a custom operating system (OS) by using a newly released bootloader, which extends the life of these hardware devices. AWS DeepRacer devices are fully autonomous 1/18th scale race cars driven

Fast-growing companies and enterprise supply-chain teams often have enough data to see that something is wrong, but not enough time to manually investigate every disruption. A supplier delay can require a planner to check purchase orders, inventory, customer commitments, contract rules, logistics options, and approval policies before deciding what to do next. Dashboards help teams

This post is co-written with Tushar Madaan from Couchbase. Building an AI-powered developer assistant that can generate database queries, recommend indexes, and support multi-turn conversational workflows requires more than a single large language model (LLM). It demands an inference architecture that is flexible, scalable, and resilient. As enterprise adoption of Capella iQ grew, Couchbase expanded

This guest post is co-written by Raphael Bres, Robert Iordache, Anca Andone, Ioana Millon (Ploesteanu) of Tradeshift and Roy Yung of AWS Tradeshift is an AI-powered accounts payable (AP) and e-Invoicing compliance platform serving buyers and sellers in more than 70 countries, with a cloud-based network that processes millions of transactions. We serve both sides

The average sales rep spends only 40% of their time actually selling. The rest is eaten up by necessary, but lower-value work: customer relationship management (CRM) updates, prospect research, email drafting, and endless context-switching between tools. Before you know it, the day has passed and you’ve spent only a small fraction of your time on

Teams that rely on dashboards for daily decisions often must pinch and zoom to interact with controls originally designed for larger displays. Checking revenue during a morning standup, reviewing pipeline metrics between meetings, or monitoring operations while traveling all require extra effort when the dashboard was built for a desktop screen. Mobile Layout for Amazon

Smartsheet is an enterprise work management platform that hundreds of thousands of organizations rely on. As enterprise teams adopt AI agents, those agents need structured access to the data inside systems like Smartsheet, but most systems aren’t built for that. To bridge this gap, Smartsheet built a remote Model Context Protocol (MCP) server on AWS

Knowledge bases that ground agents and generative AI applications over your enterprise data are hard to build at scale. Teams typically stitch together connectors, parsers, vector stores, knowledge graphs, and retrieval logic, then operationalize all of it for production. Each piece brings its own challenges. You must decide which data sources to connect and how