Posts Tagged ‘predictive analytics’

Retail Analytics Firm Raises $8M from Investors Like Nike

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Apparel.com reports, “Reflektion, a retail analytics firm, has raised $8 million in a Series B funding round led by Intel Capital and including NIKE, Inc. as well as several private investors. Reflektion provides a predictive analytics platform for retailers and brands through an easily deployable Software-as-a-Service (SaaS) model. The company plans to use the funding to support its customers — including Converse, Inc., which is currently piloting the technology, O’Neill, A.M. Leonard and RealTruck — and to launch broadly its ecommerce and business intelligence solutions in the market. The resources will also be used for additional product development, plus expanded sales and marketing activities.” Read more

Predixion Software and Carolinas HealthCare System Partner to Improve Care Delivery

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ORLANDO, FL–(Marketwired – Feb 24, 2014) – Predixion Software, a leading developer of collaborative predictive analytics software, announced today the joint development of Predixion Length of Stay (LOS) Insight. This software solution will allow hospitals to develop individualized care plans based on each patient’s risk factors and use this information to optimize the delivery of needed healthcare services. Carolinas HealthCare System, one of the largest non-profit healthcare systems in the nation, is co-developing this novel platform, leveraging the healthcare system’s expertise in acute care delivery and substantial investments in data and analytics. Read more

Predixion Brings Predictive Analytics to the Classroom at No Cost

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SAN JUAN CAPISTRANO, CA–(Marketwired – Jan 28, 2014) - Predixion Software, a developer of collaborative predictive analytics software solutions, today announced it is providing academic institutions with the free use of its advanced analytics software and related training materials for students and teachers of data science. The Predixion in the Classroom (PIC) program provides future data analysts with hands-on experience building predictive models and extracting valuable insights from large data sets. The PIC program is intended to address the extreme shortage of data scientists, which will grow more severe in coming years as organizations increasingly rely on big data and predictive analytics to guide decisions and improve operations. Academic institutions such as the University of Washington, University of Western Michigan, St. Joseph University, and the University of Maryland University College (UMUC) are already taking advantage of the program to help their students gain the essential skills required for data analysis. Read more

Machine Learning Predictive Analytics Take On Hacks, APM And More

rsz_prelertpixLast week the world learned that the hacks at Target hit more customers than originally thought – somewhere in the 100 million vicinity – and that Neiman Marcus also saw customer credit card information spirited away by data thieves. They’re not the first big-name outfits to suffer a security setback, could they be the last?

No one can ever say never, of course. But it’s possible that new tools that leverage machine learning predictive analytics could put a serious dent in the black hats’ handiwork, while also improving IT’s hand at application performance management.

A big problem in both the APM and security space today is that there’s just a ton of data coming at IT pros dealing with those issues, much of it just describing the normal state of affairs, and no one’s got time to spend reviewing that. What IT staffers want to know about are problems, which leads to a lot of rules-writing to identify thresholds that could point to issues, and to a lot of rewriting of those rules to account for the fact that things change fast in today’s world of system complexity – and to a lot of misses because of the impossibility of keeping up. Sixty percent of problems are still reported by users, not the tools IT is using, says Kevin Conklin, marketing vp at Prelert, whose machine learning predictive analytics technology is used in CA’s Application Behavior Analytics and available as Anomaly Detective for the Splunk IT apps ecosystem.

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Datawatch And Semantic Visions Enable Real-Time Predictive Analysis And Visualization For SAP HANA

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CHELMSFORD, Mass., Oct. 23, 2013 /PRNewswire/ — Datawatch Corporation (NASDAQ-CM: DWCH), the leading global provider of visual data discovery solutions, today announced an OEM partnership with Semantic Visions to deliver real-time predictive analysis and visualization of supply chain disruptions on the SAP HANA platform. Under the terms of the OEM agreement, Semantic Visions will embed Datawatch’s visualization capabilities into its Vega product to provide large manufacturers with the real-time visibility needed to effectively run their business. Read more

Predictive Analytics, Machine Learning, & Buying Power

Laurie Sullivan of Media Post recently wrote, “Predictive analytics — it’s the latest buzzword for search engine marketers. Yet many search engine marketing companies no longer just focus on SEM. They have transformed into a social-search analytical machine to converge the terabytes of data it now takes to run one campaign. Okay, I’m being a bit facetious. Here’s another example of a search company developing technology that predicts the costs of achieving return on investments and automatically adjusts campaigns to meet those forecasts. Kenshoo engineers have developed machine learning technology called Halogen that gives marketers insights into the future performance of advertising campaigns. It allows them to find previously unexplored markets by their company, and make better investment and optimization decisions.” Read more

Big Data and the Future of Predictive Analytics

Andy Flint of CloudTech recently wrote, “Analytics depends on data — the more, the merrier. If we’re trying to model, say, the behaviour of customers responding to marketing offers or clicking through a website, we can build a far stronger model with 10,000 samples than with 100. You would think, then, that the rise of Big Data and its seemingly inexhaustible supply of data would be every analyst’s dream. But Big Data poses its own challenges for modeling. Much of Big Data isn’t what we have historically thought of as ‘data’ at all. In fact, 80% of Big Data is raw, unstructured information, such as text, and doesn’t neatly fit into the columns and rows that feed most modeling programs.” Read more

Combining Sentiment, Crowdsourcing & Gamification to Gauge Public Opinion

Chloe Green of Information Age reports, “The worldwide web is an unprecedented source of market intelligence that, in theory, allows businesses to analyse public opinion automatically. But human communication is complex. Context, slang, varying dialects and other foibles make it extremely difficult for a computer to extract what someone means from what they write online. Professor Arno Scharl, of MODUL University Vienna’s Department of New Technology, has set out to crack this conundrum with an approach that combines automated analysis with human intuition. And, he claims, his team is making significant strides.” Read more

Predixion Software Raises $20 Million in Series C Financing

SAN JUAN CAPISTRANO, CA–(Marketwired – Jul 8, 2013) - Predixion Software, a developer of collaborative predictive analytics solutions, announced today it has raised $20 million in Series C financing. Predixion’s Series C includes two new strategic investors, Accenture and GE Ventures. Current investors DFJ Frontier, EMC, Miramar Venture Partners and Palomar Ventures also subscribed to the round of financing along with new investor, Frost Venture Partners. Read more

“The Durkheim Project” Will Analyze Opt-In Data From Veterans, Analyze Suicide Risk

BOSTON, WHITE RIVER JUNCTION, Vt., and MENLO PARK, Calif., July 2, 2013 /PRNewswire/ — Patterns and Predictions, and the Veterans Education and Research Association of Northern New England, with help from Facebook, Inc., today launched a research project designed to help mental health professionals detect and monitor communications and behavioral patterns predictive of suicide risk — informed by a related study of an anonymous population of risk in U.S. veterans. Called “The Durkheim Project,”* this initiative will create a voluntary, opt-in database of participants’ social media and mobile phone data — information that eventually could provide clinicians with real-time assessments of psychological risk factors for suicide and other destructive behaviors. Read more

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