Recent news about closures of brick-and-mortar stores paints a gloomy picture for the retail industry, with retailers seemingly having no hope for recovery in the face of the e-Commerce giants. Some ...
What if you could know in advance which patients would benefit from certain therapies? Or identify patients approaching a medical crisis and intervene before it’s too late? While doctors have ...
HP today unveiled HP Haven Predictive Analytics, a new offering that accelerates and operationalizes large-scale machine learning and statistical analysis, and ultimately provides organizations with ...
Apigee has acquired InsightsOne, a technology company that provides big data predictive intelligence to help businesses understand consumer preferences. InsightsOne expands Apigee’s big data analytics ...
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
An oft-cited 2012 exposé in The New York Times revealed the extent of Target’s data analytics capabilities. By analyzing customers’ purchasing patterns, Target was able to identify, and market to, a ...
In this special guest feature, Rex Ahlstrom, Chief Strategy & Technology Officer, BackOffice Associates, highlights ways to leverage data with predictive analytics. Rex has over 28 years of technology ...
Big data refers to large, diverse sets of information from multiple sources that can provide strategic information for ...
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
RAILWAY AGE, MARCH 2020 ISSUE: The December 2019 Big Data in Railroad Maintenance Planning Conference, held at the University of Delaware, continued to highlight the advances the railroad industry is ...
Predictive analytics is the art and science of proposed predictive systems and models. With tuning over time, these models can predict an outcome with a far higher statistical probability than mere ...
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