Hershey is embracing artificial intelligence beyond just software. The company is now applying AI to its physical operations to make decisions faster and more accurate. This shift is part of a broader move to connect data with day-to-day activities in the supply chain and manufacturing processes. Revamping Supply Chain Management with AI Hershey’s latest strategy
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Artimouse Prime
AI technology is now a common part of many business operations. From data analysis to customer insights, AI tools are everywhere. But when it comes to language and translation workflows, many companies are still playing catch-up. Despite heavy investments in AI overall, the translation and multilingual processes remain largely manual or outdated. The Automation Gap
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Investments in artificial intelligence are growing rapidly worldwide. However, data from KPMG shows a widening gap between how much companies spend on AI and the real business value they get from it. Despite plans to spend an average of $186 million on AI in the next year, only a small fraction of organizations have fully
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Artificial intelligence benchmarks usually show how well models perform on specific tasks, but they don’t give much insight into what the models can really do or why they succeed or fail. To change that, researchers have developed a new method called ADeLe. This approach looks at both the tasks and the models through a set
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depthfirst, a company focused on applying AI to improve software security, has announced a major funding boost. They raised $80 million in a Series B round, with Meritech Capital leading the investment. Existing investors like Accel, Box Group, Liquid 2 Ventures, Alt Capital, and Mantis VC also participated, bringing the company’s total funding to $120
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Mentoring has been around for ages as a key way to share knowledge and help people grow. But for a long time, it’s been hard to scale effectively. Success often depended on two people finding each other naturally, building trust, and staying engaged over time. In big organizations or schools, that process was usually left
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For years, the automotive world has been held back by slow and costly software development. Every new feature, no matter how small, needed a long process of designing, coding, testing, and deploying. This created a bottleneck, making innovation take months or even years. As vehicles become more software-driven, automakers are looking for new ways to
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Microsoft is rolling out new upgrades to its Microsoft 365 Copilot Researcher tool, adding multi-model AI capabilities aimed at boosting research accuracy and depth. The update introduces systems that better evaluate and compare AI outputs, making research reports more reliable. These improvements could help organizations get more precise insights from AI-driven research tools. Introducing the
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The recent conflict between the US and Iran offers a stark warning for IT leaders about the risks of bad data. Enterprises have long struggled with inaccurate or outdated information, whether from neglected databases, conflicting systems from acquisitions, or shortcuts taken over time. Now, with AI playing a bigger role, these data issues can become
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California is taking a bold step to regulate artificial intelligence used by its government. The state has introduced new rules that require AI vendors to prove they have safeguards against bias, illegal content, and civil rights violations. Companies that fail to meet these standards could be barred from doing business with the state. The move
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