It’s that time of the year again: when fans begin lining up at the supermarkets to plan football weekend festivities. Let's take a look at how can predictive analytics be used in analyzing everything from performance to parking at the big event.
I attended the first several days of the IBM Insight 2014 conference recently as one of the invited social VIP reporters for the event.
For a deeper view on my perspective of the big data and analytics happenings at IBM Insight, explore my newest post here on the Hub, "The 'one thing': IBM Watson
There have always existed significant barriers to entry for early adopters of any new technology. For example, all the miles of cable that needed to be run in order for the world to take advantage of the miracle of electricity. Now consider the computer: devices that were capable of processing only
After day two at IBM Insight 2014 in Las Vegas, I am reflecting on the plethora of big data and analytics capabilities, innovations and opportunities that filled the Mandalay Bay Convention Center (which, by the way, is nearly a mile, all indoors, from one end to the other, so there was a lot to
IBM recognizes that there is a convergence of cloud technologies, new design paradigms and advances in analytics. Enhancements to IBM business intelligence, predictive analytics, performance management and risk analytics products will mean that data-driven decisions can now be an essential daily
Data scientists, like anybody else, tend to gravitate to where the jobs are, especially those that fetch higher salaries, offer the resources needed to achieve their dreams and promise more rewarding career paths. For that reason, larger employers with well-established, amply funded big data
It seems that everyone these days is interested in big data: using more data, more quickly and making better decisions from it. How does your company interact with data? Or, more specifically, how do business users interact with data?