Build Trust: A Call to Action for Digital Leaders
By Haroon Abbu, Vice President, Digital, Data, and Analytics, Bell and Howell and Paul Mugge, Executive Director (Emeritus), CIMS, North
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Artificial Intelligence
The Power of Bigdata and AI in Revenue Management
By Max Wang, Senior Director of Data Science at CubeSmart Artificial Intelligence (AI), fueled by bigdata, continues to make an
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Challenges in Validating Machine Learning and Artificial Intelligence Models
By Maria Matkovska, Director of Model Validation, Model Risk Management, First Citizens Bank Machine-learning (ML) techniques are not necessarily new
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The Evolution of AI – From Science Fiction to Everyday Use
By Arun Shastry, Vice President, Data Analytics, Berkshire Hathaway Homestate Companies AI is everywhere these days. I mean everywhere –
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Business lessons on adopting machine learning in healthcare
By Swarna Kuruganti, Digital Operations Transformation, Moffitt Cancer Center Machine Learning (M/L) is a computational engine that drives Artificial Intelligence
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Design Considerations for an Accessible Internet of Things
By Paul M.A. Baker, Ph.D., Chief Operations Officer, Center for the Development and Application of Internet of Things Technologies &
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Solving the Right Problems with Artificial Intelligence
By Ylan Kazi, Chief Data Officer, Blue Cross Blue Shield of North Dakota “If I had six hours to chop
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Diagnosing your current AI/ML program and how to improve its outcomes
By Gokhan Metan, Ph.D., Vice President of Enterprise Data Science and Engineering, Centene Corporation Two decades ago, when the term
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Revolution of AI Models?
By Houbing Herbert Song, Associate Professor of Computer Science, Embry-Riddle Aeronautical University Since AI was coined in 1956, AI research
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