Thought Leaders in Big Data: Interview with Rick Kieser, CEO of Ascribe (Part 5)

Sramana Mitra: Is there anything else that is significantly different in the text analytics field currently? Rick Kieser: The other element is taking a look at foreign languages through text analytics and how that evolution is taking place. The context of generating sentiment from English vs. French vs. German is very different in terms of

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Thought Leaders in Big Data: Interview with Rick Kieser, CEO of Ascribe (Part 4)

Sramana Mitra: We have done a story on Clarabridge, and I met the founders of Attensity a long time ago, when they were just starting up. Can you talk about the technological point of view? Who is doing what, and how would you rate those approaches? Rick Kieser: I mentored a firm that was a

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Thought Leaders in Big Data: Interview with Rick Kieser, CEO of Ascribe (Part 3)

Sramana Mitra: What are the trends in the data you are processing? Rick Kieser: It is difficult to say, because we process more than 300 million comments a year. Since we have such a large platform, we span the major industries – pharmaceutical, transportation, energy, financial services.

Thought Leaders in Big Data: Interview with Rick Kieser, CEO of Ascribe (Part 2)

Sramana Mitra: The problem you describe is clear and easy to understand: unstructured data that comes through open-ended comment boxes in market research forms. You help process those comments and categorize them. Tell us more about what other trends are driving behavior change inside the corporations that are prompting you to move more in that

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Thought Leaders in Big Data: Interview with Rick Kieser, CEO of Ascribe (Part 1)

Rick Kieser is the chief executive officer of Ascribe, a company that provides a comment management platform to drive meaningful insights from customer comments and in doing so processes more than 300 million customer comments per year. Rick has more than 20 years of operating, management consulting, and venture capital experience. In this interview he

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Making Sense of Unstructured Information

By David Hatch, Guest Author Unstructured information is considered by many to represent over 80% of an organization’s data, and yet it remains largely untouched by conventional BI approaches such as query and reporting tools. This includes text analytics and federated search of customer service notes, call center dialog, web pages, web logs, word documents,

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