AWS turns its S3 storage service into a file system for AI agents

Amazon Web Services is making its S3 object storage service easier for AI agents to access with the introduction of a native file system interface. The new interface, S3 Files, will eliminate a longstanding tradeoff between the low cost of S3 and the interactivity of a traditional file system or of Amazon’s Elastic File System…

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Why ‘curate first, annotate smarter’ is reshaping computer vision development

Computer vision teams face an uncomfortable reality. Even as annotation costs continue to rise, research consistently shows that teams annotate far more data than they actually need. Sometimes teams annotate the wrong data entirely, contributing little to model improvements. In fact, by some estimates, 95% of data annotations go to waste. The problem extends beyond…

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How to build an enterprise-grade MCP registry

Just as integration catalogs were must-haves at the peak of SaaS, Model Context Protocol (MCP) servers are now becoming all the rage for connecting AI agents and enterprise systems.  In this paradigm, developers aren’t hand-coding API calls to external systems, nor are users clicking “click to integrate” and entering credentials into GUIs. Instead, agentic systems are…

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How to land a software development job in an AI-focused world

It seems we are in a very perplexing and somewhat worrisome time in the technology job market. Artificial intelligence is disrupting workflows and changing job descriptions, while many companies are shedding staff due to years of “overhiring.” Some companies are freezing hiring due to market uncertainty. Whether you are seeking a full-time position or contracting…

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Visualizing the world with Planetary Computer

Microsoft’s research arm has long been fascinated with working with large amounts of data at scale. Projects like TerraServer explored how to search and display geospatial data, mixing mapping and demographics to show how we could provide large amounts of information to users’ desktops while working within the bandwidth constraints of the early internet. That…

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Databricks launches Genie Code to automate data science and engineering tasks

Databricks has launched Genie Code, a new AI agent, to help enterprise data practitioners automate data science and engineering tasks. Available as a panel inside Databricks’ notebooks, SQL Editor, and Lakeflow Pipelines editor, Genie Code can be used to plan, build, deploy, and maintain end-to-end machine learning (ML) workflows, including automating experiment tracking with MLflow,…

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MariaDB taps GridGain to keep pace with AI-driven data demands

MariaDB, the company behind the open-source fork of MySQL, is planning to acquire in-memory computing middleware provider GridGain to bolster its platform for high-performance data and artificial intelligence (AI) workloads. The database provider is planning to infuse its relational database with the California-headquartered startup’s in-memory technology, which it says will enable its database offerings to…

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Buyer’s guide: Comparing the leading cloud data platforms

Choosing the right data platform is critical for the modern enterprise. These platforms not only store and protect enterprise data, but also serve as analytics engines that source insights for pivotal decision-making. There are many offerings on the market, and they continue to evolve with the advent of AI. However, five prominent players — Databricks,…

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The best new features in MariaDB

MariaDB may have started as a MySQL fork, following Oracle’s acquisition of MySQL, but with time it’s charted its own path. Over the last few major revisions, the open source RDBMS has added unique functions, greater compatibility with MySQL, and a suite of behaviors designed to make it a migration target for Oracle SQL users….

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