What AI/ML application will have the biggest impact but the least buzz?

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        What AI/ML application will have the biggest impact but the least

        Dr. Rumman Chowdhury

        Paul Eremenko

        Dr. Seth Dobrin

        Carl Christensen

        Susan Etlinger

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        One of the most impactful, but under-discussed, uses of AI will be in creating an efficient, just-in-time, transparent supply chain.
        A positive impact of an AI-enabled transparent supply chain is in identifying human trafficking via financial fraud detection in bills of sale, anomaly detection in shipping and transport, or by maintaining a system to track and store data from RFID tags on goods.
        While likely one of the least headline-grabbing use cases for AI/ML, the halo impact of predicting demand, understanding where goods and raw materials are, who is handling it, and when, will create a beneficial ripple effect.
        Much of the buzz today is around AI/ML in product applications, but the most profound impact will be in the use of AI/ML to usher in a new scientific revolution — a total transformation in the way scientific discovery, technological invention, and engineering design is done.
        AI/ML is poised to change this in two big ways.
        Since modern AI/ML techniques are fundamentally pattern matching at a massive scale, they appear to be quite good — seemingly better than humans — at adaptively directing the iterative guessing and testing, learning as they go.
        Here, AI/ML techniques can help create simplified “surrogate” models to substitute for the detailed physics, which in turn can substitute for lab testing.
        We are already starting to see promising results from these uses of AI/ML in the discovery of new materials and drugs, and in the design of aircraft engines.
        Most “pure AI” applications struggle to live up to the hype, often driven by the difficulty of delivering on the promise of completely eliminating the human from the loop, and covering all edge cases.
        Intelligence augmentation, however — using AI to give humans superpowers rather than replacing them — can seem less sexy and disruptive, but has a clear path toward deep impact on the nature of


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