Authority Magazine features Plainsight Co-Founder & CPO, Elizabeth Spears, in their “Meet the Women Leading the AI Industry” series

In a recent article in Authority Magazine, Plainsight’s Co-Founder & CPO, Elizabeth Spears, shares her experiences, industry insights, and interesting Plainsight projects currently underway.

Within the article, Elizabeth discusses such topics as:

  • 5 exciting things about the AI industry
  • 5 concerns about the AI industry
  • Her favorite “Life Lesson Quote”
  • and more

In addition, she offers guidance to women looking to get into AI.

 Just jump in. It’s like any other industry, where it takes a little time to learn the lingo and specific subject matter, but there’s nothing magical about the technology itself. Computer vision in particular is filled with neuroscience analogies and the methods for teaching a machine learning model are very similar to how children are taught new concepts. So the AI industry is not as inaccessible or as technically esoteric as it may seem, and the approach to creating solutions is similar to solving interesting logic problems.

    Read the full article here.

    More Plainsight Blog Posts:

    5 Ways Agribusinesses Can Prevent Recalls, Shutdowns, and Delays with Vision AI

    5 Ways Agribusinesses Can Prevent Recalls, Shutdowns, and Delays with Vision AI

    Investments in computer vision technology can help agribusinesses and food manufacturers of all types spot signs of trouble early and stop costly, potentially deadly recalls before they happen. Deployed across the production and manufacturing cycles, these models can detect hazards ranging from contaminants and foreign objects to defective equipment and non-compliant behavior. Organizations capture hundreds of thousands of hours of visual data in the form of video footage and imagery every day, and computer vision allows these businesses to put this data to work for process transformation.

    How Can Vision AI Predict and Prevent Supply Chain Disruptions?

    How Can Vision AI Predict and Prevent Supply Chain Disruptions?

    Introducing computer vision across the supply chain can help manufacturers predict and prevent the types of conditions that lead to these kinds of disruptions. From potential contaminants and foreign objects to defective products and packaging to unsafe or unsanitary behavior, computer vision is the key to recognizing supply chain obstacles early and stopping shortages in their tracks. AI solutions could prove especially useful in volatile, high-production periods where errors and disruptions are both especially likely and especially costly.