REDWOOD CITY, Calif., Feb. 12, 2014 (GLOBE NEWSWIRE) -- UBIC, Inc. (Nasdaq:UBIC) (TSE:2158), a leading provider of Asian-language eDiscovery solutions and services, will host an expert webinar on meeting the substantial challenges associated with the application of sophisticated data-analytics methodologies in legal discovery and other investigation matters where very large volumes of complex, fast-changing data are involved. On Wednesday, Feb. 19 at 1:00 pm eastern time, join legal and data-technology experts, Ellen S. Pyle, Discovery Counsel at McDermott Will & Emery, Washington D.C., and Paul Starrett, Chief Global Risk Officer at UBIC North America, for a practical and informative discussion titled, "Stepping Up to the Big Data Challenge with Teamwork and Technology." To register, go to http://www.aceds.org/stepping-up-to-the-big-data-challenge-with-teamwork-and-technology/. This webinar is produced in cooperation with the Association of Certified E-Discovery Specialists. Topic abstract "Big Data" typically refers to electronic information of sufficient size, complexity and velocity so as to exceed the capabilities of conventional information management methodologies. Analyzing such data presents very real challenges including considerations of cost, deadlines and the availability of properly trained professional staff to name but a few. As practitioners attempt to seek clarity and truth from within large volumes of complex data, whether for a legal or a compliance/regulatory matter, understanding and dealing effectively with these challenges can be a trial in itself. Practical, real-world solutions are available, however, and both Ms. Pyle and Mr. Starrett will discuss proven best practices on a host of key topics including:
- How to efficiently coordinate work flows between data scientists and legal professionals.
- How enterprises can implement information governance programs that take advantage of data analytics technology.
- What the available data analytics tools are and how they are most appropriately applied.
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