As digital data piles up at ever faster rates, the potential is growing for smart algorithms to dig out insights the human brain never could. IBM's head of analytics research, Chid Apte, directs a team intent on realizing that potential. His group is developing algorithms and other techniques that can extract meaning from data, and it is trying to find ways to use these methods to solve business challenges. Apte talked about his group's priorities with Tom Simonite, the IT editor for hardware and software at Technology Review.
TR: IBM has been creating and selling analytics products for decades. What's new?
Apte: Historically, analytics has been about using well-organized past data from inside an enterprise. Now we have two new and different sources of data. One is unstructured data from customer interactions, such as e-mails to support, or call transcripts. The other is social information that we get by tapping into the Web—the world of Twitter and feeds.
To read the full, original article click on this link: The Future of Analytics - Technology Review
Author: Tom Simonite
