Posts Tagged ‘predictive analytics’

Word To Developers: Power Your Apps With Data And Insights

aplogoApigee wants the development community to be able to seamlessly take advantage of predictive analytics in their applications.

“One of the biggest things we want to ensure is that the development community gets comfortable with powering their apps with data and insights,” says Anant Jhingran, Apigee’s VP of products and formerly CTO for IBM’s information management and data division. “That is the next wave that we see.”

Apigee wants to help them ride that wave, enabling their business to better deal with customer issues, from engagement to churn, in more personal and contextual ways. “We are in the business of helping customers take their digital assets and expose them through clean APIs so that these APIs can power the next generation of applications,” says Jhingran. But in thinking through that core business, “we realized the interactions happening through the APIs represent very powerful signals. Those signals, when combined with other contextual data that may be in the enterprise, enable some very deep insights into what is really happening in these channels.”

With today’s announcement of a new version of its Apigee Insights big data platform, all those signals generated – through API and web channels, call centers, and more – can come together in the service of predictive analytics for developers to leverage.

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Cortana Enhances Predictive Capabilities

cortana304x200Jason Mick recently blogged, “While iOS 8 should make Apple, Inc.’s (AAPL) Siri substantially smarter, Microsoft Corp.’s (MSFT) Windows Phone voice-controlled assistant Cortana currently enjoys a nice lead in natural language processing and the ability to interface with multiple apps to perform useful functions.

Cortana is a commercial product, but it’s also a bit of lab experiment for the folks at Microsoft.  During the 2014 FIFA World Cup, Microsoft showed off its increasingly sophisticated prediction algorithms, which correctly guessed 15 out of 16 winners in the knockout round stage.  Its sole mistake was picking Brazil to beat the Netherlands (whoops) for third place in the consolation match.”

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GraphLab Create Aims To Be The Complete Package For Data Scientists

glabData scientists can add another tool to their toolset today: GraphLab has launched GraphLab Create 1.0, which bundles up everything starting from tools for data cleaning and engineering through to state-of-the-art machine learning and predictive analytics capabilities.

Think of it, company execs say, as the single platform that data scientists or engineers can leverage to unleash their creativity in building new data products, enabling them to write code at scale on their own laptops. The driving concept behind the solution, they say, is to make large-scale machine learning and predictive analytics easy enough that companies won’t have to hire huge teams of data scientists and engineers and build the big hardware infrastructures that lie behind many of today’s Big Data-intensive products. And, the data scientists and engineers that do use it won’t need to be experts at machine-learning algorithms – just experienced enough to write Python code.

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Versium Leverages Microsoft Azure Machine Learning For New Predictive GivingScore Solution To Improve Fundraising

versiumpixVersium, which earlier this year launched its Predictive FraudScore solution (covered here) today releases its Predictive GivingScore solution, designed to help charitable institutions and political organizations better predict who is likely to donate, be a repeat donator, or make the more significant contribution. PredictiveGiving Score is the latest of the company’s predictive Score products, which also include churn, social influencer and shopper scoring – and it’s by no means the last.

It was built with Microsoft Azure Machine Learning, a managed cloud service for building predictive analytics solutions publicly unveiled just a short time ago. CEO Chris Matty says that platform is an aid to Versium in rapidly building its new score solutions. (Just shy of ten Versium scoring products are currently in use or in development.) Azure ML, Matty notes, contains dozens of machine learning algorithms and mathematical computation models it leverages to easily and effectively experiment, create and tune models to get the highest accuracy in predictive scoring solutions.

“Once we have a score built it just takes little tuning. But when we are building a new score we need to look at some different models and see what works better,” he says. “We want to move quickly by evaluating the different models, and we can visualize very easily the process of building the predictive model.”

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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

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