Predictive analytics News
February 13, 2018
IBM's analytics software is strong technically but disjointed and hard to understand, say analysts who think simplifying things should be a priority at the company's Think 2018 conference.
December 15, 2017
More data doesn't always benefit predictive analytics projects. Data sources must be scrutinized and understood before being used in a predictive model, experts warn at the AI World conference.
October 30, 2017
SAP Tennis Analytics uses SAP Leonardo machine learning and SAP Predictive Analytics to deliver tennis insights. The NHL puts its entire league history into HANA Enterprise Cloud.
September 19, 2017
For organizations that must analyze large amounts of data quickly and efficiently, nothing beats solid-state storage. Predictive analytics applications perform better with flash.
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Big data and predictive analytics may seem synonymous, but understanding the constraints of each discipline is the key to extracting business value from projects that combine them. Continue Reading
Typically, the HR department doesn't have analytics experience, and analytics experts don't have HR experience. That's why change management is critical to HR analytics success. Continue Reading
Predictive analytics is no longer confined to data scientists and other highly skilled analysts. But other users need to understand what it involves before they start building models. Continue Reading
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Michigan public health officials use e-prescribing and monitoring and analytics software from Appriss Health to fight opioid addiction by tracking overprescribing and abuse. Continue Reading
Before purchasing big data analytics software, companies must first identify their specific needs and then evaluate how the product features address those needs. Continue Reading
The SAP global innovation evangelist expects AI to affect businesses in three ways: human-computer interaction, automation of knowledge work and doing the previously impossible. Continue Reading
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Telematics and IoT have made advanced analytics available in new ways, and for fleet management company ARI, SAP HANA proved to be the best way to manage and process all the data. Continue Reading
Any AI definition should include things like predictive analytics, according to some users, even though those practices are straightforward and have been around for decades. Continue Reading
Blind faith in predictive models can result in flawed business decisions. Analytics teams need to manage predictive processes carefully to keep things on the right track. Continue Reading
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Turning IoT data into actionable insights requires an integrated approach. Mark Troester of Progress explains how it can be done. Continue Reading
Azumi Mobile, a smartphone manufacturer, takes advantage of software from DeviceBits to merge AI, machine learning and predictive analytics to overhaul its customer experience journey. Continue Reading
Securing industrial IoT is one of the greatest inhibitors of IIoT adoption. ThingStream's Neil Hamilton explains why a new framework for secure IIoT is needed. Continue Reading