Predictive analytics News
May 12, 2017
MIT's Sam Madden said machine learning algorithms are more dark art than science. A new initiative at MIT hopes to change that. The Data Mill reports.
April 06, 2017
Knowing when industrial equipment will break down avoids unscheduled downtime and emergency service calls. It's cognitive predictive maintenance technology, and Progress is all-in.
March 03, 2017
Scality's RING object storage technology provides customers with a new HALO Cloud Monitor that uses machine learning for capacity planning and predictive analysis.
February 06, 2017
Predictive models help Jewelry Television's on-air hosts sell its wares, thanks to data integration and preparation processes that funnel a mix of data into the analytics applications.
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While the technology of customer data mining continuously improves, organizations still need the human factor of customizing system outputs to drive business goals. Continue Reading
Creating a successful data science program enables you to look deeper into your organization's data for analytics uses. Take this quiz to see how much you know about the data science process. Continue Reading
Predictive analytics applications can go off track quickly if data scientists and other analysts don't make good choices on the data sets they're looking to mine and analyze. Continue Reading
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Learn how one automotive supplier is using the ThingWorx IoT platform and Kepware IoT gateway to predict and eliminate machine downtime. Continue Reading
From design to predictive analytics, the use of digital twins is becoming more prevalent. Here's a look at how it can help different sectors. Continue Reading
The IBM SPSS Modeler and IBM SPSS Statistics predictive analytics tools help users and data analysts build predictive models and manage the analytics process. Continue Reading
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Organizations can benefit greatly from applying predictive analytics to contact center data. Here's a look at four areas ripe for upgrades in those workflows. Continue Reading
Domino's Pizza franchises are putting IoT on the menu to automate manual processes, save costs and predict machine maintenance -- and to better focus on cranking out pizzas. Continue Reading
Data science can be incredibly valuable if done right, but just as damaging if done wrong. Here, a data science expert discusses three common predictive modeling pitfalls. Continue Reading
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So much effort goes into simply keeping an IT infrastructure up and running. Imagine what more could be accomplished once you automate some of those tasks with IT systems management tools. Continue Reading
Internet of things networks and predictive analytics tools can help manufacturers improve product quality, increase production uptime and optimize production cycles. Continue Reading
Big data environments based on technologies such as Hadoop and Spark are being deployed more widely -- and the same goes for advanced analytics tools that can help organizations make effective use of the data flooding into those systems. In fact, predictive analytics software was the top choice for planned business intelligence and analytics investments by respondents to a TechTarget survey.
And in many cases, deployments of advanced analytics software to support big data applications aren't a one-and-done thing. Macy's uses more than a half-dozen tools to meet different application needs as part of the retailer's big data analytics program. The technology roster includes statistical analysis, predictive modeling and machine learning tools that Macy's couldn't do without. "Because of the volume of data, there's just no humanly possible way to analyze it [manually]," said Seetha Chakrapany, the company's director of marketing analytics and customer relationship management systems.
Macy's is just one of six organizations featured in this e-book chapter by Executive Editor Craig Stedman. Progressive Casualty Insurance Co. is another. The insurer's data and analytics business leader, Pawan Divakarla, said the capabilities provided by advanced analytics tools are "huge" in enabling Progressive to manage a program for awarding discounts on auto insurance policies to safe drivers based on analysis of operational data collected from their vehicles.
But there are issues to contend with along the way, from the complexity of developing predictive models and machine learning algorithms to the challenge of sharing analytics results with business executives. Find out how Macy's, Progressive and others have overcome the hurdles and made advanced analytics against pools of big data work successfully.Continue Reading