Predictive analytics News
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.
July 11, 2017
Progress' addition of the Kinvey BaaS to its app dev tools lineup adds strong back-end capabilities intended to complement its Telerik front-end mobile development platform.
June 29, 2017
Progress Software bought Kinvey and integrated its MBaaS software into its application development offerings. Another recent buy from Progress sweetens the deal even further.
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.
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IoT is really an 'internet of customer experiences.' Data will grow organically and rapidly, so brands will need to harvest it for powerful relationships. Continue Reading
Predictive analytics can help companies identify trends and better understand customers. The potential business benefits are big, but building predictive models isn't simple. Continue Reading
A successful predictive analytics program involves more than deploying software and using it to analyze data. This set of steps can help put a solid analytics foundation in place. Continue Reading
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IoT-enabled predictive maintenance helps public transport companies tailor vehicle reparations and speed up downtime. Yenlo's Ruben van der Zwan discusses. Continue Reading
Microsoft Dynamics 365 CRM makes sense for some shops, while Salesforce is better for others. The right choice need not rest with the flip of a coin. Continue Reading
SAP ITOA is a HANA-based tool that helps companies like GDT monitor IT systems and data centers in real time and make better business decisions on how to resolve problems. Continue Reading
Manage Predictive analytics
Learn to apply best practices and optimize your operations.
Getting real-time information on where goods are in a supply chain is commonplace with sensors and big data, but some firms use machine learning to predict more accurate ETAs. Continue Reading
Artificial intelligence is a natural fit for the sensor-filled manufacturing industry, but it's not commonplace. What's taking manufacturers so long? Continue Reading
Employing metrics and analytics to improve logistics, operations and forecasting is a good first step, but not enough. Your workforce is the most important resource to optimize. 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