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AI + IoT = Automating and Analyzing Data Collection

By Dick Weisinger

The Internet of Things (IoT) refers to total of all devices connected to the Internet, a number that McKinsey says is growing by 127 every second. As of 2019, the IoT market was worth $1.7 trillion.

Source: IOT Analytics

IoT is huge, but AI has the potential to supercharge the technology even more. Gartner predicts that this year 80 percent of all enterprise IoT projects will include AI.

Some of the ideas for how IoT+AI can turn dumb devices into smart ones include:

  • Manufacturing – Production-line monitoring with sensors and provide continuous pro-active monitoring
  • Automotive – Sensors can alert drivers to the status of the vehicle components, driving problems and road conditions.
  • Retail – Optimization of supply chain and better inventory management
  • Healthcare – Pro-active monitoring of patients

One area where many have been critical of IoT is a lack of good security. When coupled with AI, that could be improved, but some worry that AI can also be used as a tool to defeat IoT security.Dean Chester, cybersecurity author, wrote that “AI can be used for IoT security, or it can be used against it.”

Melvin Greer, Chief Data Scientist, Intel Americas , said that “AI and IoT are no longer in separate swim lanes. AI closes the loop in an IoT environment where IoT devices gather or create data, and AI helps automate important choices and actions based on that data. Today, most organizations using IoT are only at the first ‘visibility’ phase where they can start to see what’s going on through IoT assets. But they’re moving toward the reliability, efficiency and production phases, which are more sophisticated and require stronger AI capabilities.”

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