Why Watson and SPSS Are IBM’s Big Data Yin and Yang?

SPSS

Image via Wikipedia

By Ramy Ghaly March 02, 2011

However, the promise of this holistic data environment doesn’t stop with IBM.

As I reported in a recent post explaining the limits of Watson as a machine-learning platform, its ability to process and answer questions based on natural language is a big deal, but the system as currently comprised is largely relegated to the realm of answering specific questions based on the very specific data loaded into it. However, thanks to a $14 billion investment in analytics acquisitions over the past several years, IBM has a robust portfolio products with which to complement Watson’s impressive capabilities. According to IBM VP of Predictive Analytics Deepak Advani, SPSS — the predictive piece of IBM’s analytics puzzle, which it bought for $1.2 billion in 2009 — might just be Watson’s ideal mate.

The next step is determining the best treatment plan, and that’s where Watson comes in.

Asked a question about the best-possible treatment plan for that particular patient, given the patient’s particular background, Watson could scour its database to suggest a plan, or plans, for the doctor to consider.

Read the full article in “The New York Times” Via ctrl-News

 

Advertisements