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Predictive analytics News
July 25, 2019
In a Q&A, Wayne Eckerson looks at the state of the business intelligence industry, and self-service analytics, and discusses what new innovations excite him about the future.
May 13, 2019
Speedy deployment of machine learning jobs may not arrive too soon. But container platform enhancements from Red Hat aim to quicken the uptake of such innovations.
April 04, 2019
With the Equifax-FICO alliance, the credit giants are offering a combined Data Decisions Cloud suite they hope can solidify their place in the alternative data market.
April 01, 2019
Machine learning platforms can bring the lone data scientist into the overall workflow. Updates to tooling also let that data scientist use familiar development interfaces.
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Business analytics (BA) is the iterative, methodical exploration of an organization's data, with an emphasis on statistical analysis. Business analytics is used by companies that are committed to making data-driven decisions. Continue Reading
Logistic regression is a statistical analysis method used to predict a data value based on prior observations of a data set. Continue Reading
Smart manufacturing (SM) is a technology-driven approach that utilizes Internet-connected machinery to monitor the production process. The goal of SM is to identify opportunities for automating operations and use data analytics to improve ... Continue Reading
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Predictive analytics will be one of the key trends shaping the next generation of business intelligence platforms, as will the ability to share data. Continue Reading
DroneBase uses Qwil, vendor of an analytics-based payroll and payments system, to automatically manage and pay the freelance drone pilots who use the DroneBase platform. Continue Reading
Predictive storage analytics tools are becoming standard equipment in the enterprise. Get to know the features you'll need, how they work and the benefits they provide. Continue Reading
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With AI's arsenal of machine learning, deep learning and NLP, consumer analytics can take some of the unpredictability out of predicting buying patterns and up conversion rates. Continue Reading
Social media provides a fertile landscape of information and insight into consumer behavior, but collecting and analyzing that data carries all sorts of privacy pitfalls. Continue Reading
Digging into customer analytics can improve sales opportunities -- but how does an organization balance that against data privacy concerns? Get insights from data professionals. Continue Reading
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To create his March Madness bracket predictions, the head of data science at DataRobot uses a host of machine learning algorithms and some predictive analytics. Continue Reading
As the amount of patient data in hospitals continues to grow, healthcare big data analytics can help improve patient safety by providing valuable insights in near-real time. Continue Reading
Having data scientists build analytical models doesn't do much for an organization if the models don't help generate business benefits. Here are some ways to make sure they do. Continue Reading