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    [Earley AI Podcast] Episode 30: Alex Babin

    The Holy Grail of AI

    Guest: Alex Babin

     

     

    About this Episode:


    Today’s guest is Alex Babin, Co-Founder and CEO at ZERO Systems. Alex joins Seth Earley and Chris Featherstone and shares the two biggest misconceptions of AI. Alex also discusses the new and upcoming AI metric data tool. Alex explains what it does and what we can expect from it. Be sure to listen in on Alex giving his advice on how to keep track of your data using AI!



    Takeaways:

    • The biggest misconceptions about AI are:
      • AI can work out of the box. Chat GPT shows people what it can do but, it does not mean that AI can do everything.
      • You can throw data at AI and it will be able to do the things you need it to do perfectly. AI technology is changing, but it hasn’t met this level of expertise yet.
    • A best practice to avoid these misconceptions of AI is to start from the beginning. Figure out your company's ROI, and reconstruct all the steps required.
    • Alex mentions a new layer of Metric Data that has never existed before. This metric data is user-generated data or a feedback loop. When you interact with the tool, a new type of metadata is born with more data to the tool is reinforced to provide better results.
    • Alex explains how the two anthologies aren’t connected. He believes that it should be connected to help provide better results for the client. Alex believes that in the future, AI can be used as a teaching tool between the two anthologies. 
    • Alex is looking forward to the advancement of AI in the future. He is also nervous about AI and how it will be controlled. Since everyone doesn’t know where AI will go, it is less predictable and controllable.



    Quote of the Show:

    • “Throwing Chat GPT on top of your problems will not solve it.” (04:51)



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    Earley Information Science Team
    Earley Information Science Team
    We're passionate about enterprise data and love discussing industry knowledge, best practices, and insights. We look forward to hearing from you! Comment below to join the conversation.

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