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Companies that push the boundaries of AI to sharpen predictions, boost efficiencies, and optimize the real-time pricing or stock control of their products are moving faster and further than rivals still conservatively wavering over the wisdom of using AI for these purposes.

Supply chains have been severely impacted by COVID-19. Leading organizations over the past 18 months “have developed the ability to rapidly adapt business models and supply chain ecosystems to live with a high degree of volatility and disruption.

They're warning that "It will overtake the US within the next decade."

It’s not enough to drastically slash emissions. To stave off the worst of climate change, humanity needs to capture the carbon that's already in the air.

A new method forces a machine learning model to focus on more data when learning a task, which leads to more reliable predictions.

IoT adopters can learn from the best practices and examples of existing users to prevent costly mistakes.

Used electric vehicle batteries could be the Achilles' heel of the transportation revolution—or the gold mine that makes it real.

Digitized and automated manufacturing is making strides in the world of medical manufacturing, evidenced by recent systems put into production lines during the COVID-19 pandemic.

Drones with data intelligence capture real-time, intelligent image data of wiring, transformers and other remote field infrastructure. A birds-eye view and AI-analysis makes it much easier for utilities to find and fix potential problems that can spark destructive wildfires.

Dark manufacturing, also referred to as lights-out manufacturing, is a manufacturing philosophy without human intervention in the complete manufacturing process.


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