The Industrial IoT (IIoT) eco-system continues to recognize the benefits of artificial intelligence (AI) and as a result, we spend large sums of money in AI work where we may be disappointed with the results. To be successful, we have learned that deploying AI in an IIoT applications needs to be an evolution and not a revolution especially when used in a Operational Technology (OT) environment. Today’s talk will share our experiences in developing AI based solutions including successes and challenges and then a recommendation how to evolve your IIoT solutions with an AI component. Using AI in IIoT may yield incredible results; however, the right expectations need to be set from the beginning as AI requires new technologies and skills to yield those results. Our objective is to provide insights in leveraging an AI maturity model and methodologies so you can evolve your IIoT solutions over time as real world experience is gained.
Guy Merritt is an experienced C-suite executive, Guy has 35 years engineering leadership advising and developing IoT solutions, native cloud-based systems, products and engineering & manufacturing test solutions for a wide variety of industries. He is an author of the award-winning book “Proactive Risk Management: Controlling Uncertainty in Product Development.”
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