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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Machine Learning
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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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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Industry 4.0, paving opportunities for different careers.
By Marcosiris A. O. Pessoa, Laboratory Specialist, Researcher, University of São Paulo Industry 4.0 (I4.0) is known as the 4th
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AI: Friend or fiend, building AI trust
By Jasmeet Sraw, Sr. Growth Partner, Course5 Intelligence It takes quite a while to put our trust and faith into
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