Extract from article by Thomas Davenport
Thomas Davenport Many people and companies seem to think of “cognitive computing” as an area separate from analytics. Most large organizations today have significant analytical initiatives underway, but they think of the cognitive space as being an exotic science project. One executive told me, “We have no desire to win Jeopardy,” an allusion, of course, to the IBM Watson project from 2011. But cognitive computing is not just about Watson, and it’s not an exotic science project. In fact, I’d argue that cognitive computing is a logical extension of analytics work. It’s the next step for any organization that […]
Taken from a combination of public market sizing estimations as shared in leading electronic discovery reports, publications and posts over time, the following eDiscovery Market Size Mashup shares general worldwide market sizing considerations for software and services in the electronic discovery market for the years between 2015 and 2020.
When Maura Grossman speaks, people listen. In 2011, she was already known as a leading e-discovery attorney and litigator. But her influence exploded when she released research with co-author Gordon Cormack, a computer science professor at the University of Waterloo in Ontario, that concluded software using predictive-coding technology can do as good a job of sifting through documents as human reviewers.
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Proactively vetting the accuracy of all such claims and verifying reasonable and appropriate privacy and security measures can help prevent...