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If you manage a front office trading desk at investment banks, you know the challenge: traders need real-time insights into client behavior, trade patterns, and market trends from vast amounts of data to make split-second decisions. However, they rarely have the time during the day, nor the coding ability, to build and maintain systems capable […]

When your carrier performance data spans multiple regions, your dashboard must reconcile fundamentally different competitive structures within a single view. For example, in the US, you rank three carriers (Carrier 1–3) across 49 states and hundreds of metro markets. In the UK, you’re comparing four carriers (Carrier 4–7) across a separate set of national regions.

If you’re operating AI agents at scale, Amazon Bedrock AgentCore surfaces a category of insights you’ve probably experienced but struggle to detect: your dashboards show green across the board. 99% completion rate, healthy latency, zero error spikes. And yet customer complaints trickle in about incorrect outcomes. An order modification that was never actually executed. A

Your users ask multi-part, comparative, and exploratory questions that span PDFs, slides, tickets, transcripts, and web content. Classic single-shot retrieval breaks down on these questions. Answers miss context, support tickets escalate, and analysts waste hours re-running searches. Agentic retrieval for Amazon Bedrock Managed Knowledge Bases is designed for these questions. Consider two questions an analyst

AI Teammates are agentic AI on Amazon Bedrock, and few engineering organizations run them in production at the scale that monday.com does. Nine in ten Builders use AI coding tools every month, up from roughly half a year ago. Per-engineer PR throughput is up by more than half. Every figure in this post comes from

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