Break Down the Language Barrier in Your Data [Podcast]

by   |   September 15, 2015 5:30 am   |   0 Comments

Even in this era of globalization, digitization, and big data, language continues to be a challenge for companies doing business internationally. The issue is growing with the rising interest in the insights waiting to be mined in unstructured data sources such as social media and customer interactions, which are inscrutable enough without the additional complication of valuable business insights possibly getting lost in translation.

In this edition of the Data Informed podcast, Dick Csaplar, product marketing director for enterprise translation products at SDL, which provides integrated cloud solutions for content management, analytics, language, and documentation, discusses the language barrier, the unique challenges it presents to big data analytics, and what companies are doing to eliminate this barrier to data insight.

 

 

Related on Data Informed:

Natural-Language Processing Evolves into Vital Technology

Big Data and the Human Side of Business

Translate Business Talk into Predictive Analytics Projects

How to Impose Structure on Unstructured Data

Scott Etkin is the managing editor of Data Informed. Email him at Scott.Etkin@wispubs.com. Follow him on Twitter: @Scott_WIS.

 

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