There has been a lot of discussion lately about enterprise data hubs. Two major Hadoop distributions, Cloudera and MapR, are making a lot of noise to the business community with the statement that the center of gravity is shifting away from data warehouses toward Hadoop.
A very timely article recently appeared in Forbes that focused on several issues that may hold back big data from contributing to the bottom line in the near term, How Soon Will Big Data Yield Big Profits? This topic is on the mind of many companies in the process or contemplating the move into big data technology solutions.
UC Berkeley is establishing a new institute to enable university researchers to harness the full potential of the data-rich world that today characterizes all fields of science and discovery. The Berkeley Institute for Data Science (BIDS) is part of a multi-million dollar effort supported by the Gordon and Betty Moore Foundation and the Alfred P. Sloan Foundation.
ACM offers a number of free technical webinars taught by recognizable thought leaders. Here is a compelling presentation by professor Joseph A. Konstan of the University of Minnesota – “Recommender Systems: The Power of Personalization.”
The first four installments of the Big Data & Customer Intelligence series focused on predicting and influencing customer behavior, looking at determining customer value, and understanding your customer’s social influence. In this final article of the series, we’ll take a hard look at exploring customer sentiment which is another important element of Computational Marketing.
One good indicator of the financial health of an industry is the amount of venture capital finding its way into company coffers. If you accept that measure of success then the big data industry is on pace to become a shining example of riches derived from technology. Forbes recently published an updated list of their […]