Dr. Will Ford of Predixion Software to Speak at Big Data

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News Desk 2018
Dr. Will Ford of Predixion Software to Speak at Big Data TechCon in Boston

ALISO VIEJO, CA--(Marketwired - Apr 23, 2015) - Predixion Software , a developer of cloud-based predictive analytics (PA) software, today announced that Dr. Will Ford, director, expert services at Predixion Software, will be presenting two sessions at Big Data TechCon held at the Seaport World Trade Center in Boston, Massachusetts, April 26-28. Ford will deliver a presentation on "The Machine Learning Semantic Model" on Monday, April 27 and "Getting Started in Big Data Science Consulting " on Tuesday, April 28.

Monday April 27, 1:30 - 2:45 pm ET " The Machine Learning Semantic Model " Abstract: With big data and the volume-variety-velocity issues that come along with it, semantic models -- data source-agnostic frameworks to describe transformations -- have increased in relevance. We have made extensions to the concept of a semantic model to include machine learning. This methodology allows for predictive analytics to be performed on a workstation, in a client-server mode, and also to be performed and deployed to Internet of Things (IoT) devices.

Tuesday April 28, 1:00 - 2:15 pm ET " Getting Started in Big Data Science Consulting " Abstract: Learn from existing open-source projects how to build proof-of-concept solutions. Social Networks, Recommendation Engines, Personalization, Dating Sites, Job Boards, Permission Resolution and Access Control, Routing and Pathfinding, and Disambiguation are just a few of the possible applications. The primary focus of this class will be to walk through the process of going from concept to completion of a BDS consulting engagement.

Dr. Will Ford

Will is a pre- and post-sales, t-shaped Data Scientist with strong business acumen and the director of expert services at Predixion Software. As a post-sales data scientist, he has completed projects in sales analytics (lead optimization), Web analytics (customer journey mapping and clustering), finance, media and advertising, and healthcare management. He is a specialist in data munging, classification, segmentation, and stochastic optimization. Will holds a PhD in Computation and Neural Systems from Caltech in Computation and Neural Systems, preceded by coursework in computational biology at CMU and a BS in neuroscience from the University of Pittsburgh. His work in applied distribution computation at the Pittsburgh Supercomputing Center and neural networks and other machine learning techniques at Caltech are leveraged in his role as head of expert service at Predixion Software. Will has co-published a variety of scientific articles and is a frequent speaker on data science-related topics. He spoke at last year's Big Data TechCon in Boston.

About Big Data TechCon The 5th Big Data TechCon will be held April 26 - 28 in Boston. Last year more than 600 people attended the event. Big Data TechCon features practical, how-to classes and tutorials for IT and Big Data professionals, including data and business analysts, developers, software architects, data scientists, and project managers.

About Predixion Software Predixion was founded on the belief that predictive analytics has the power to create a smarter, safer and healthier world -- and that access to that power should not be limited. To achieve this vision, Predixion developed Predixion Insight™, a cloud-based analytics platform that provides real-time, predictive analytics at the decision point in order to improve outcomes. Predixion specializes in the "Last Mile of Analytics™" -- that is getting the power of predictive insights to the front lines where decisions are made -- whether that is an application, a BI dashboard, a machine or a device. More than 200 companies worldwide rely on Predixion to make better decisions every day. For more information visit www.predixionsoftware.com .

Predixion Software recognizes all of the trademarks referenced in this press release.

Media Contact: Emma Rosen Activa PR for Predixion 415-385-2843 Email Contact

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