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
As business users start to explore big data and implement big data projects, they are quickly realizing that the technical issue of managing big data is not the only problem they need to be concerned about: Finding skilled professionals who can work with big data is an equivalent challenge.
Below are the top three questions I hear all the time from business partners and customers alike. I will take a moment to address each one. Before I do that, however, I wanted to flash back to 1995. I was responsible for building a channel around our new e-commerce offering called Net.Commerce (
Here are the quick-hit ponderings that I posted on various LinkedIn big data discussion groups this past week. I opened up one new theme–Big Media (which I'd introduced a few weeks back at this IBM big-data-relevant site) –and extended my existing discussions of peta-governance (going beyond what
It is no secret that healthcare worldwide is in crisis - high costs, poor or inconsistent quality, and inaccessibility are potentially catastrophic. For example, Healthcare in Ontario is expected to account for 50% of government spending by 2011. And in China, 39% of the rural population and 36% of