Intel Insights

This Week in Internet of Things News

Intel Insights

  • How to ease your transition to an AI-enhanced factory
  • AI + edge = a world of possibilities for retail and manufacturing
  • Fully automated, frictionless retail is no longer a pipe dream
  • Edge AI drives intelligent road infrastructure forward
  • Why the future of manufacturing is software-defined

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AI's Impact on Edge Computing

Artificial intelligence, including GenAI, continues to revolutionize how machines learn, create, and adapt. And as organizations increasingly adopt edge computing for real-time processing and decision-making, the convergence of AI and edge computing presents unprecedented opportunities, such as real-time responsiveness, privacy compliance, and cost-efficiency.

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Automated Checkout Offers a Seamless Shopping Experience

Between AI-powered kiosks that can recognize hard-to-scan items, machines that accept a wide variety of payment types, and CV solutions that help prevent shrinkage, retail checkout has improved by leaps and bounds. But these innovations are just the beginning. Within a decade, retailers of all sizes may achieve the holy grail of providing a fully automated and frictionless checkout experience.

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Driving Intelligent Road Infrastructure Forward

In the coming decades, the global population is expected to surpass nine billion. While addressing this growth is crucial, traditional mobility solutions lead to congestion and environmental pollution. Download this e-book to learn how city and transportation leaders can use edge AI to create smarter transportation systems and address road infrastructure issues before they become major safety issues.

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Software-Defined Processes: The Future of Manufacturing

Industry 4.0 is on track to power manufacturing through open software-defined processes, unlocking siloed data and enabling more agile operations. Learn how Scalers AI provides custom AI software for various manufacturing efficiencies—leveraging Dell PowerEdge XR servers and Intel® Xeon® Scalable processors—to give enterprises the performance they need for reliable, rapid edge AI deployments.

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