Published Jun 23, 2021

AI Today Podcast: AI Education Series: Applications of AI

    An engaging exploration of AI education, the seven patterns of AI, and how AI effectively addresses complex problems, featuring insights from experts Ron Schmelzer and Kathleen Walch.
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    Episode Highlights

    • AI Necessity

      Kathleen Walch explains that AI becomes essential when simple rules fail to solve complex problems. AI excels in recognizing unstructured data, such as identifying objects in images, and handling large datasets for pattern matching. She emphasizes that AI mimics human cognitive functions, making it suitable for tasks like conversation, prediction, and planning 1.

      The kinds of problems we're solving with AI are the kinds of cognitive things that we would otherwise have humans do.

      --- Kathleen Walch

      These capabilities form the basis of the seven patterns of AI, which will be explained in detail in their courses.

         

      AI Benefits

      AI offers significant advantages over traditional methods, particularly in handling unstructured data and large datasets. Kathleen Walch notes that AI is more efficient for tasks where deterministic systems fall short, such as chatbots that manage unpredictable conversations. She highlights that AI's ability to process and understand vast amounts of data quickly makes it an invaluable tool in various applications 1.

      If you can't code the rules and you can't scale easily with either people or automation, AI is a really good solution for your problems.

      --- Kathleen Walch

      These advantages underscore the practical benefits of integrating AI into complex problem-solving scenarios.