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.”
Harness the Power of Big Data is a new book by several of the 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
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
As a business asset, “next best action” is not a secret sauce. It’s more like a layered lasagna that–depending on the ingredients, how carefully you assemble them, and how well you bake and serve it all–can be either a highly consumable platform or a sloppy mess of ill-fitting investments that you’
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
Based on his recent blog post, “Why Static Stinks,” Tom Deutsch, program director of IBM big data portfolio, further explains why non-personal recommendations – or “static” – are bad. Deutsch states that it is important to understand not only the trends of consumers, but who they are as people,
How can organizations understand the trends of each individual consumer? In a recent podcast, Tom Deutsch program director of IBM's Big Data Portfolio, spoke with IBM's social media lead for big data, David Pittman, on how big data technologies can improve the “market of one” between businesses and
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,