Jimmy Kimmel pulled off an incredible prank during last Sunday night's Primetime Emmy award show. He got comedian Tracy Morgan to lie flat onstage and asked his audience members to tweet “OMG Tracy Morgan just passed out onstage at the #Emmys. Turn on ABC now.”
There was something fascinating about
USC Annenberg Innovation Lab is using an IBM big data solution to conduct sophisticated social media analytics and natural language recognition to gauge positive and negative opinions shared in millions of public tweets. The project has been applied to political debates, sporting events, movies and
Influence is hip. Any self-respecting career-oriented individual these days brags about their influence on socials, however that might be measured. And modern marketing professionals pride themselves on their ability to use the socials and other resources at their disposal to influence the new
Data science’s learning curve is formidable. To a great degree, you will need a degree, or something substantially like it, to prove you’re committed to this career. You will need to submit yourself to a structured curriculum to certify you’ve spent the time, money and midnight oil necessary for
Everyone knows everything is bigger in China, and big data is no exception. This is why it is no surprise that big data interest is gaining a lot of momentum in China.
On August 23 and 24, IBM organized a technical summit in Beijing, and one of the main tracks was about big data. In fact, this
It isn’t until the lights go out and the HVAC system stops working that most of us appreciate how important utilities are to our everyday lives. For the most part, energy and utility companies have operated in a predictable, linear way with reliable service, in spite of population growth and
Predictive analytics is not just about forecasting what might happen. It’s also about detecting the warning signs of bad things that, if we don’t act quickly, might prove catastrophic or highly disruptive.
In the engineering world, for example, many organizations use statistical tools to predict
Did you miss me? After taking off the month of August to launch the IBM Big Data Hub (and to run the 199-mile Hood To Coast Relay), I’m eager to be back on the “Top Reads in Big Data” beat, rounding up great articles, blog posts, videos, podcasts and infographics. It was a short work-week in the
According to several research firms, 70% of traditional data warehousing/Business Intelligence projects were considered failures. Fundamental to every data warehousing project is a basic and simple concept – “data integration.” Data integration technology became fundamental as data complexity,
For more information, download the white paper "Managing big data for smart grids and smart meters" or visit www.ibm.com/bigdata
Evolving technologies in the energy and utilities industry, including smart meters and smart grids, can provide companies with unprecedented capabilities for forecasting
As social media tools become more prevalent, those participating in the online conversation become increasingly influential, especially as their opinions travel faster and to a wider group of consumers. The IBM Social Sentiment Index uses analytics and natural language processing technologies to
"Next best action” is a hot focus area under big data, advanced analytics, digital marketing, smarter commerce and other business imperatives. Enterprises have been doing next best action, in various forms, for years. Many companies continue to scale up and build out their next-best-action
Krishnan Parasuraman, CTO of big data, IBM Digital Media, describes the three contextual factors fueling the questions around big data, including the analytic awakening, commodization of technologies, and data availability.
Among healthcare executives interviewed for the 2010 IBM Global CEO study, 90% expect a high or very high level of complexity of data over the next five years, but more than 40% are unprepared to deal with it. The volume, velocity and variety of data are outpacing the ability for healthcare
While healthcare organizations are amassing vast amounts of data, multiple versions of the truth can contribute to errors in patient care and payment processes. Physicians have been on information overload for decades, contributing to the estimated 15% of diagnoses that are inaccurate or incomplete