Humans have always needed to support decision-making and strategy with some form of predictive analytics. In Ancient Rome, for example, predictive analytics meant haruspex priests studying animal ...
Howard Levenson, former regional vice president at Databricks, said government agencies looking to advance evidence-based decision-making in support of their missions should consider adopting open ...
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
The global market for healthcare predictive analytics is expected to grow from $16.7 billion in 2025 and is projected to reach $50.4 billion by the end of 2030, at a compound annu ...
eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...
Zohar Bronfman is the cofounder and CEO of Pecan AI, a predictive analytics platform making advanced AI accessible to business teams. For decades, predictive analytics was a capability largely ...
Advantages and shortcomings of predictive analytics, and how the practice is changing in order to keep up with the evolution of technology. The term predictive analytics refers to the use of data, ...
This article explores how payers can enhance their medication adherence initiatives to reduce costs and improve member health outcomes by leveraging predictive analytics through machine learning. This ...
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Data leadership that drives real value
Financial services data leaders face a fundamental paradox: they have unprecedented access to data assets, yet they continue ...
Randy Barrett is a freelance writer and editor based in Washington, D.C. A large part of his portfolio career includes teaching banjo and fiddle as well as performing professionally. Not long ago, IT ...
In this special guest feature, Michelle Odajima, Data Science Program Leader at OSIsoft, talks about applying predictive analytics to the operational space, and provides three basic rules for doing so ...
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