Organizations are continually seeking to realize the full potential of IoT. In this session, we will explore how a major Industrial IoT company is leveraging AI technologies such as machine learning and computer vision to address some of their biggest IoT challenges. We will also explore key findings from a groundbreaking global study revealing the impact of the Artificial Intelligence of Things (AIoT) on companies like yours.
Bill Roberts, Director of the global IoT Practice, SAS
Juthika Khargharia, Ph.D, Global IoT Evangelist, SAS
Bill Roberts: As the director of the global IoT practice at SAS, Bill is an evangelist for analytics and the IoT – promoting the importance of a robust analytics lifecycle to drive valuable outcomes in IoT initiatives across industries. Bill and his team play an important role in growing SAS relevance and revenue related to IoT. His team works closely with product management and R&D to ensure technology and solutions meet key market needs, while directly supporting marketing and the field sales organization with domain expertise, enablement, and thought leadership activities. Bill joined SAS in 1996 and has held the Global Client Executive position for DaimlerChrysler, helped establish and lead the SAS Automotive Practice, and contributed to the development and success of SAS Supply Chain solutions across Demand, Quality, and Aftermarket Service. Most recently he lead a global manufacturing practice. Prior to joining SAS, Bill worked with public sector entities, supporting key technology capabilities around finance, HR, public works, and public safety. He holds a bachelor’s degree from Michigan State University and lives in Cary, NC.
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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