With video intelligence powered by agentic AI, you can ask natural language questions about uploaded videos and get answers within seconds. Organizations across media, security, insurance, and professional services are generating more video than their teams can review. Meeting recordings accumulate in shared drives, and security cameras capture weeks of unreviewed footage. Field inspection videos […]
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Artificial intelligence has entered a complicated and uneasy phase. New systems are becoming more capable, more autonomous, and increasingly able to work in groups—sometimes in ways even their developers struggle to predict or explain. At the same time, AI is being woven into scientific research, workplaces, health care, education, and daily life. And competition between […]
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Public sector agencies process large volumes of unstructured evidence, such as body camera footage, surveillance video, and scanned documents, that require extracting insights before anyone can act on them. This post shows how to combine Amazon Bedrock Data Automation with the Model Context Protocol (MCP) to turn unstructured data into structured insights. You can then […]
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Introduction Data professionals live in their browsers. You’re reading technical documentation, analyzing research papers, reviewing model cards, working through GitHub repositories, and summarizing industry reports — often all in the same afternoon. Increasingly, AI assistants sit alongside that work. The tools most people reach for (Chrome with Gemini, Perplexity, ChatGPT in a pinned tab) are […]
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When One Big Circle introduced AIVR to the rail industry in 2019, our machine learning capability started with a single task: spotting graffiti in lineside footage to help Network Rail detect areas of potential trespass and damage. Since then, it’s grown into a suite of models, developed in-house and refined with input from rail experts. […]
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AI has been able to solve extremely difficult problems in the field of mathematics, yet it still struggles to automate a large number of fundamental tasks. In the view of Diogo Almeida, founder and CEO of US AI startup TypeSafe, the problem may not be that AI is “not smart enough”, but that past models […]
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Data science teams often move among separate tools for governed data access, R analysis, Python model development, deployment, application development, and reporting. Positron, Posit’s integrated development environment (IDE) for data science, now runs on Amazon SageMaker AI. For a data scientist, running Positron on SageMaker AI means: Data access without managing credentials. Positron runs under […]
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Today, we are announcing that xAI’s Grok 4.6 is available in Amazon Bedrock, adding a frontier model built for long-running agents, coding, and knowledge work to the Bedrock model catalog. Grok 4.6 launched on Bedrock on August 18, 2026. It offers a 500K token context window and supports configurable reasoning effort at four levels: low, […]
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This post is co-written with Philipp Karg from BMW Group and Christopher Masurek from Data Reply. Cost anomalies are hard to spot when you run 14,000 cloud accounts. BMW Group operates Cloud Efficiency Analytics (CLEA), an in-house FinOps system built on AWS with Reply that monitors more than 14,000 cloud accounts across BMW Group’s cloud […]
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The future workforce needs technical confidence, but it also needs the human capabilities that help people keep learning, thinking and working well with others. The future skills question Every few years a new list of future skills arrives. The technologies change, the platforms change and the job titles change. The more useful question for us, […]
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