Posts Tagged ‘Chris Matty’

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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Machine Learning Part Of New Versium Solution To Quickly Find Fraudsters

versiumMachine learning is playing a role in fraud prevention: This week Versium launched its Predictive FraudScore solution to help companies weed out fraudsters from signing up for their services or conducting ecommerce transactions with them. All the organization needs is an email address.

The solution is based on Versium’s LifeData predictive analytics platform that also is behind the company’s churn, social influencer, shopper and custom scoring products. “There are three fundamental areas we bring to fraud scoring: unique data, powerful matching technology to identify and associate that data to accounts or consumers as they sign up, and applying machine learning to that unique data set to predict whether that account is likely to be associated with fraud or not,” says Versium’s CEO Chris Matty.

The FraudScore service provides an enterprise a very strong indication of whether a person is legitimately interfacing with it at the point in time that that entity registers with the company. “That’s quite upstream from where normal fraud prediction takes place,” Matty says.

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