Mark Myers, market segment manager for IBM Watson Explorer, says the usual "3 V's" definition of big data is too narrow. "This way of looking at the issue limits big data to a technical challenge and misses what has become the real significance of big data: finding new ways to use data to create
In my last post, we explored how audience data sources from inside and outside of the media organization can be “unified and utilized” for game-changing applications such as demand forecasting for Opening Weekend Box Office (OWBO) using big data analytics.
Our results showed that IBM achieved high
In today’s world, many can compare their big data landscape to a vast wilderness. We know it exists and it is growing in size, volume and complexity – but do we know what is really growing and taking roots. Are there valuable resources that, if mined, could create new growth and opportunities? Or
The big data landscape for most enterprises is a vast wilderness. It is a growing and complex ecosystem of different data types from multiple sources, including new data from social media and raw data collected from sources like sensors. Only after effectively exploring and navigating this terrain
Big data is a new natural resource. Like other natural resources, big data needs to be successfully mined, refined and delivered in order to create value.
Organizations first need to mine big data through Exploration. Exploration is finding, connecting and understanding the value of all available
Harness the Power of Big Data is the latest book by several authors of Understanding Big Data, the hugely popular book that debuted in 2011. Big data represents a new era of computing – an inflection point of opportunity where data in any format may be explored and utilized for breakthrough
Closing the big data talent gap requires tackling the problem from both sides: the people and the technology. Adequately training the data scientists of tomorrow is an obvious and necessary step, but what about the non-data scientists? And what about the technology side? What can we do to make the
In Part I of this series, we looked at the key considerations for an analytic enterprise to stay competitive in today’s world, and in Part II we discussed how those translated into imperatives for a supporting big data platform. In Part III we covered how IBM applied those considerations and
The need to innovate and stay ahead of customer demands is even more imperative today. IDC estimates that “in 2012 the digital universe will grow to 2.7 zettabytes.” As customers and the market as a whole generate data, companies are compelled to capture and analyze an ever-greater percentage of