How to stay on top of the Tsunami of IoT with an AI surfboard
- Oct 26, 2021 2:27 am GMT
This item is part of the Special Issue - 2021-10 - Advances in Utility Digitalization, click here for more
Written by: Dr. Andy Skumanich, & Dr. Manny Ghiassi
Massive amounts of data are flooding utilities and, really, any tech industry. The big question is “how to make the best use of it”. What that means is using all the IoT and data streaming, and pulse-taking, to extract the most useful Signal-to-Noise information which allows for actionable responses and decisions to optimize the enterprise.
We are past the point of no return to when a tech company could use their human resources to “crunch the numbers” and get their expert’s direction. The complexity is just too great at this point. The need for AI and Machine Learning is now an essential component to extract the maximum value. The new problem is: which AI/ML? and how do we use it? In our opinion there are too many AI/ML solutions out there which make for another overwhelming situation. These solutions range from the open-source AI/ML code, to Commercial-off-the-shelf (COTS) software, to at the super charged end, the IBM Watson level. Each of these solutions can provide an answer, but of course there are significant trade-offs in resources (head count & costs), reliability (accuracy of the info), and repeatability (can the solutions be reused or are they always in need of re-customizing).
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