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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Artificial Intelligence
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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Transformative Power of DeepTech AI to real-world GeoEconomics
By Maya Kannan, President & Chief Client Advisor, Sonicorn The major challenge of Innovation-driven solutions is their longevity in R&D.
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How is Artificial Intelligence helping advisors?
By Abhinav Gupta – FinTech Product Leader Financial advisors have had to face many challenges in recent years, such as
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