Microsoft has introduced a new extension for Visual Studio Code called Microsoft Copilot Studio. This extension helps developers build, manage, and refine AI agents directly within the VS Code environment. Launched on January 14, it is available through the Visual Studio Marketplace. The goal is to make developing AI agents easier by keeping it within
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All posts tagged in AI Automation
A new solution from digital banking platform Plumery AI aims to help banks move beyond small AI tests and embed artificial intelligence into their daily operations. The company has launched a product called “AI Fabric” that acts as a standard framework for connecting generative AI tools to core banking data and services. This approach is
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Aultman Health System, a nonprofit healthcare provider in Northeast Ohio, has integrated Nabla’s ambient AI technology into its electronic health records system. This move aims to streamline clinical documentation, enhance patient care, and support clinicians’ workflow. The deployment quickly brought advanced AI tools to hundreds of healthcare providers across inpatient and outpatient settings. Seamless Integration
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Hyperautomation isn’t about robots taking over everything. Instead, it’s a smarter way for organizations to work. It involves carefully finding and improving processes by combining the right digital tools. The goal isn’t just to automate one task but to transform entire workflows from start to finish. For DevOps and Site Reliability Engineering (SRE) teams, automation
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Recently, many new apps have promised to revolutionize productivity and life. Most of them turn out to be overhyped and fail to deliver lasting value. However, there’s one small app that’s genuinely making a difference in daily routines—without any fanfare or promises of world-changing results. It’s a simple tool that focuses on one task: making
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Companies are finding it harder to keep up with AI innovations, and experts warn even more complex technologies are on the horizon. These include physical AI, like robots, which Nvidia estimates as a multibillion-dollar market, and quantum computing. Both are expected to shake up various industries in the coming years. Organizations will need to adapt
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After a year filled with rapid AI adoption and high hopes, 2026 is marking a shift for CIOs. They are moving away from just trying new tools to focusing on smarter, more strategic use of artificial intelligence. It’s not about slowing down progress but guiding it in a direction that delivers real results for their
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Many businesses face complex decisions daily, from managing supply chains to optimizing logistics. Turning these real-world problems into mathematical models used by optimization software can be slow and requires expert knowledge. OptiMind is a small AI model designed to make this process faster and more accessible by translating plain language into precise optimization formulations. Bringing
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Software development has changed a lot over the years. From writing in assembly language to building cloud-native apps, the tools and architectures keep evolving. Recently, AI-powered tools have started transforming how developers work. One of the most exciting is GitHub Copilot, an AI assistant that integrates into Visual Studio and Visual Studio Code. This article
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AI is transforming many industries, but not all are benefiting equally. Software development adopted AI agents quickly, and the secret was something called Git. This tool provided a backbone for collaboration, making it safe and manageable to work with AI-driven changes. Other fields are now trying to catch up, but they face a big challenge:
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