The amount of data being generated in the Internet of Things from sensors, devices, equipment, and infrastructure is on a very rapid incline. Thus, there is an ever-increasing need for the use of advanced analytics methodologies and embedded AI to understand and process IoT data for meaningful business insights. This confluence of AI and IoT, also known as AIoT will run the entire gamut from personalization in healthcare for the connected patient to the prediction of component failures in large industrial assets. In this session, we will cover a variety of AIoT applications across multiple industries and discuss how this leads to transformative business growth. These applications will continue to improve with faster processors, more advanced machine learning algorithms, and deeper integration to edge devices.
Juthika Khargharia, Ph.D, is a Principal Solutions Architect working for SAS’ Internet of Things Division specializing in machine learning, deep learning and artificial intelligence. In her role, she assists customers in defining their business problems and uses SAS advanced analytics solutions to help them reach their business goals and objectives. Juthika holds a Ph.D. in Astrophysics from the University of Colorado. Her Ph.D. research work consisted of designing observations, collecting and analyzing low signal-to-noise image data obtained from ground based telescopes to determine black hole masses in our Galaxy.
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IoT Day Slam 2020 Internet of Things Conference