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Predictive analytics News
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.
December 18, 2018
Datawatch plans to add analytics and data visualization tools to its Swarm data preparation platform, starting with integration capabilities in a Swarm 2.2 release.
September 26, 2018
BI on Hadoop is still new, but moving BI to data is trending. A data scientist working with IoT data at Komatsu sees the importance of getting big data to the right people.
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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
IoT analytics projects can supply important insights to aid the business bottom line. But first you must understand the varieties of data and pick the best tool for the job. Continue Reading
Association rules are if-then statements that help to show the probability of relationships between data items within large data sets in various types of databases. Continue Reading
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The advantages of using predictive analytics in storage include less downtime and better resource utilization. It's no wonder more storage vendors are making it an option. Continue Reading
More organizations plan to use cloud-based BI and analytics and focus on data governance and predictive analytics, TechTarget's 2019 IT Priorities Survey found. Continue Reading
Applying IoT data analysis to info gathered from connected devices is key to extracting the data's potential value. Knowing how to get from potential to realized, though, is the challenge. Continue Reading
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While the associated term might sound magical, predictive networks make use of real historical data to predict network events. Be ready for a bit of complexity, though. Continue Reading
Dun & Bradstreet analytics exec Nipa Basu offers three tips on how to integrate machine learning tools into business processes to help drive better decision-making. Continue Reading
Simulating timely and accurate business scenarios can be an essential competitive weapon for predicting the performance, pitfalls and benefits of strategic initiatives. 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