Semantic Search Applied to Finance and Healthcare: Two Case Studies
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  Wayne Heideman   Wayne Heideman


Wednesday, February 1, 2017
01:30 PM - 02:15 PM

Level:  Case Study

This talk will present:
  1. How graphs can be used to virtually integrate data from different, heterogeneous sources and;
  2. How semantics can be added to make data smarter and enhance search

We will present two case studies focused in finance and healthcare:

First, we will present how a large Multi-level Marketing organization, after multiple failed Enterprise Data Warehouse efforts, was able to make sense of their inscrutable order-management system by using semantic and data virtualization technologies. The time and cost to generate financial reports were dramatically reduced and more accurate reports resulted.

Second, we will present a patient stratification case study from the Ohio State University Wexner Medical Center. Traditional Enterprise Data Warehouse solutions did not satisfy the need due to cost and data privacy. By using semantic and data virtualization technologies, the medical center was able to identify 30% more patients in need of Left Ventricular Assist Devices (LVAD).

The attendees will learn about:

  • Methodology to create Knowledge Graphs in conjunction with mappings
  • Architectural decisions on virtualization (NoETL) vs materialization (ETL)
  • Intuitive ways to model financial and patient health information
  • Searching financial and patient information which matches desired criteria

Wayne Heideman is a startup guy. He has co-founded, been one of the first half dozen employees or responsible for the acquisition and integration of at least 10 companies. He has also done a lot of startup due diligence and some angel investing.

In short, he knows startups. Wayne is currently the CEO of Capsenta which is commercializing research begun in UT's computer science department that virtualizes relational databases as Semantic Web graph data sources. He loves hard challenges and has previously, among others, taken on Chinese manufacturers with consumer-volume video surveillance (Qvis), a brand new kind of Digital Signal Processor (Stretch's DSP), and some of the world’s most complex software (Synopsys). Capsenta offers the challenge of changing the way the world models, governs, and integrates data, and 2017 will be a record year against that challenge.

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