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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How to adapt your skills for AI-driven development

Today, it is nearly impossible for anyone in a software development role to avoid AI technology. That’s not a bad thing; individuals and teams can realize numerous potential benefits from AI-driven development. One thing is certain: Software developers who haven’t already done so must adapt their skills to meet the demands of this new era….

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WebMCP API extends web apps to AI agents

World Wide Web Consortium (W3C) participants including Google and Microsoft have launched the WebMCP API, a JavaScript interface that allows web applications to provide client-side “tools” to AI agents. The API would enable agents to interact directly with web pages and participate in collaborative workflows with human users within the same web interface. WebMCP is…

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The cure for the AI hype hangover

The enterprise world is awash in hope and hype for artificial intelligence. Promises of new lines of business and breakthroughs in productivity and efficiency have made AI the latest must-have technology across every business sector. Despite exuberant headlines and executive promises, most enterprises are struggling to identify reliable AI use cases that deliver a measurable…

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The death of reactive IT: How predictive engineering will redefine cloud performance in 10 years

For more than two decades, IT operations has been dominated by a reactive culture. Engineers monitor dashboards, wait for alerts to fire and respond once systems have already begun to degrade. Even modern observability platforms equipped with distributed tracing, real-time metrics and sophisticated logging pipelines still operate within the same fundamental paradigm: something breaks, then…

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10 essential release criteria for launching AI agents

NASA’s launch-a-rocket activity includes 490 launch-readiness criteria to ensure that all ground and flight systems are prepared for launch. Having a launch-readiness checklist ensures that all operational and safety systems are ready, and validations begin long before the countdown on the launchpad. The most advanced devops teams automate their release-readiness checklists in advanced CI/CD pipelines….

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