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This webinar will explore:
○ Identifying target-rich, high-value data that can be used to generate actionable insights.
○ Using cloud analytics platforms to derive value from IoT data.
○ Discussing the barriers to widespread IoT/ AI /Big Data value delivery and how these might be overcome.
○ Real time data analytics in practice – examples of how IoT / AI data is creating business efficiency and revolutionising working practices in the predictive maintenance space.
Moderator: Ahmed Banafa, Faculty, San Jose State University
Nina Tucker, VP of Technology, Twin Oaks Computing
Jenn Gamble, Data Science Practice Lead, Very
Shalini Sharad, Global Commercial Head, Interconnected Diabetes Management, Ascensia Diabetes Care
Jeanne Holm, Deputy CIO & Senior Technology Advisor to the Mayor, City of Los Angeles
Sasha Ilyukhin, Vice President, Services and Industry 4.0 Solutions, Tetra Pak