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Top InfoWorld News

Mistral’s First Reasoning Model, Magistral, Launches with Large and Small Apache 2.0 Version
Artificial Intelligence · France

Mistral’s First Reasoning Model, Magistral, Launches with Large and Small Apache 2.0 Version

56% Center coverage: 9 sources
The company is signaling that the future of reasoning AI will be both powerful and, in a meaningful way, open to all.See the Story
Why most enterprise AI agents never reach production and how Databricks plans to fix it
Technology

Why most enterprise AI agents never reach production and how Databricks plans to fix it

Coverage: 4 sources
Databricks Agent Bricks automates enterprise AI agent optimization and evaluation, eliminating manual processes that block production deployments.See the Story
Databricks Unveils Lakeflow Designer for Data Analysts to Build Reliable Pipelines Without Coding
Artificial Intelligence · San Francisco

Databricks Unveils Lakeflow Designer for Data Analysts to Build Reliable Pipelines Without Coding

100% Center coverage: 3 sources
/PRNewswire/ -- Data + AI Summit — Databricks, the Data and AI company, today announced the upcoming Preview of Lakeflow Designer. This new no-code ETL...See the Story

Databricks Unveils Databricks One: A New Experience to Bring Data and AI to Every Corner of the Business

Coverage: 2 sources
/PRNewswire/ -- Data + AI Summit -- Databricks, the Data and AI company, today announced the launch of Databricks One, a new experience that gives all business...Artificial Intelligence · AustraliaSee the Story

SmartBear Unveils AI-Driven Test Automation for iOS and Android Apps

SmartBear has launched Reflect Mobile, an AI-powered, no-code, test automation tool kit that enables QA professionals to test native apps across the iOS and Android mobile platforms. Announced June 11, Reflect Mobile features SmartBear's HaloAI AI technology and extends SmartBear's Reflect test automation solution, which was originally focused on web apps, to native mobile apps, SmartBear said. Reflect Mobile uses generative AI and record-and-re…Artificial IntelligenceSee the Story

Europe is caught in a cloud dilemma

Europe stands at a crucial crossroads as it navigates two significant influences: the European Union’s desire for digital independence from foreign cloud providers and its desire for access to state-of-the-art cloud technologies. Certain foreign hyperscalers, particularly those based in the United States, provide advanced cloud products and services that European hyperscalers cannot yet match. It’s never ideal to give foreign entities access to …European UnionRead Article

GitHub launches Remote MCP server in public preview to power AI-driven developer workflows

GitHub has unveiled its Remote MCP server in public preview, allowing developers to integrate AI assistants like GitHub Copilot into their workflows without setting up local servers. With just a click in Visual Studio Code or a URL in MCP-compatible hosts, coders can access live GitHub data — including issues, pull requests, and code — in real time, GitHub said in a blog post. Unlike its local counterpart, the remote server is hosted by GitHub b…San Francisco, California · San FranciscoRead Article

How to use frozen collections in C#

The FrozenSet and FrozenDictionary classes introduced in .NET 8 are immutable collections optimized for fast look-ups. Here’s how to take advantage of them.United States · United StatesRead Article

Use geospatial data in Azure with Planetary Computer Pro

Among his many achievements, pioneering computer scientist and Microsoft Technical Fellow Jim Gray came up with what he called the “fifth paradigm” of science: using large amounts of data and machine learning to discover new things about the world around us. That idea led to Microsoft’s work with scientists across the planet through its AI for Earth and similar projects. Part of that work led to the development of a common source of geospatial d…Microsoft · United StatesRead Article

Building an analytics architecture for unstructured data and multimodal AI

Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready insights. The challenge isn't just dealing with diverse data types, but also the need for scalable, automated processes to prepare, analyze, and use this data effectively. Many organizations fall into predictable traps when updating their data pipelines for AI.…Artificial Intelligence · Mountain ViewSee the Story

Managing software projects is a double-edged sword

In 2010, I got fired. I deserved it. I wasn’t wrong, but I deserved it. And I think there is an interesting lesson in that dichotomy. I was managing a team of developers at a once-great Silicon Valley firm that had fallen from its peak. The development team was very good—elite, even. Our product was a once-popular but fading software development tool. Our management team—we called it “the Core Team”—was a great bunch. I enjoyed the job.  The pro…California, United States · CaliforniaRead Article

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