Moving from reactive to predictive maintenance requires the right tools for use by subject matter experts. As the power industry continues to advance from preventative to predictive maintenance, one ...
IBM acquired predictive analytics vendor SPSS in October 2009. Erick Brethenoux, predictive analytics strategist for SPSS, an IBM Company, talks about the growing importance of the technology in ...
Statistical learning, the science of identifying patterns in data and using data to build models and make predictions, is receiving growing attention across industries. With the data science platform ...
Network analytics — and increasingly, the more advanced approach of predictive network analytics — delivers more insights so businesses can get ahead of network problems. As the coronavirus pandemic ...
SAP is launching the application edition of the SAP Predictive Analytics software to help enterprises create and manage predictive machine learning models for applications that run business activities ...
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 ...
"Driven by EHR adoption, cost-efficiency goals, and IoT integration, the healthcare predictive analytics market is reshaping ...
Phil Goldstein is a former web editor of the CDW family of tech magazines and a veteran technology journalist. He lives in Washington, D.C., with his wife and their animals: a dog named Brenna, and ...
Workday on Tuesday launched Insight Applications, a suite that provides analytics via machine learning algorithms and data science. The human capital management and financials software company is the ...
The belief that predictive analytics—data mining, statistical modeling, and machine learning—can accurately forecast trends, behavior, and future outcomes based on historical data is a fallacy. Talk ...
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