In June, close to 80 developers in the Silicon Valley area attended the free IBM Big Data Developer Day event. It was a great chance for developers to learn about the latest IBM technologies for addressing big data challenges. Not only did they gain valuable information from the sessions, but they
Big data is, fundamentally, a cloud-computing approach to advanced analytics and data management. The images that come to mind when somebody says “cloud computing” are a) increasingly sprawling server farms and b) increasingly huge server racks arranged in endless rows within these farms. These “
Expertise is precious and hard-won. Perhaps you’ve cultivated it in-house through long-term investment in staff skills and training, in which case you risk having it walk all out the door at any time. Perhaps you’ve recruited experts externally, and paid a premium for their specialties. Perhaps you
How will you put big data to work for you? Begin your big data initiatives by exploring IBM's Big Data Virtual Event Center! Hear from a keynote speaker, visit different booths featuring different IBM solutions and learn how IBM is bringing big data to the enterprise…all at a time and place that’s
The Danish wind power plant manufacturer Vestas Wind Systems demonstrates impressively what can be accomplished today with big data and smarter analytics. It certainly convinced the 2012 Big Data Award jury at the Computerwoche Big Data Congress in Germany. Computerwoche magazine presented the 2012
As promised, we’re going to revisit a topic I introduced awhile ago in "Why Static Stinks". Based on what I’m seeing recently, static still stinks, so now is a good time to resurface our discussion. Collectively, we’re just not moving fast enough to fix the glaring issues that static–otherwise
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
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
I was in Oslo a couple of weeks ago taking time out from a family holiday to speak at a technical conference.
With my family there too, we took the chance to do some sightseeing too and I finally had the chance to visit the Kon-Tiki Museum. Well worth a visit by the way!
For many of us of a certain
According to InformationWeek, “90% of respondents use conventional databases as the primary means of handling data.” The data that companies are amassing today, however, is complex, diverse and continually growing, and they struggle to manage it effectively. Many lack the right expertise and tools
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
Analytics is a deciding factor that determines whether organizations succeed or fail. Those able to effectively manage, store and tap information for game-changing insights can capitalize on virtually endless opportunities. Those who cannot master the data may ultimately find themselves playing a
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
"Value" is the key word in several of my top picks this week. From saving money to saving lives to saving time in who you follow on Twitter, we're still finding new ways to get value from data.
“What Executives Don’t Understand About Big Data,” by Michael Schrage, Harvard Business Review HBR Blog
More and more organizations are turning to Predictive Maintenance. These solutions help predict which asset or part of an asset is likely to fail or needs service, so organizations only replace parts or machinery when needed, not when they are “supposed to.”