Think about the access to top talent and how crowd sourcing is allowing organizations to put a bounty on solutions to hard problems.
Think about graph analysis and the work being done with SNA today.
Think about common patterns and pattern discovery. For example in Cargo, if a ship stops at certain ports is the probability higher or lower that it may have picked up some illegal substances on the way.
Really great example of how different techniques can be combined and reused. This is really driving the need for an enterprise analytic data set as you can start to chain analytics together to do many types of operations.
Think about automation of analysis tasks. If I’ve figured how to to bucket things, I may be able to triage the data better according to priorities in my organization.
Clustering is really BIG in the big data world right now due to the wide applicability.
Transcript of "Big data analytics presented at meetup big data for decision makers"
The Science Behind Data Science
Presented at Big Data for Decision Makers
Ruhollah Farchtchi – Director of Big Data
December 5, 2013