By Martin Fleming
In a recent New York Times article, reporter James Glanz asks: “Is Big Data an Economic Dud?” Mr. Glanz seems to answer his own question skeptically. The “data era,” he suggests, will not match the earlier revolutions in manufacturing, domestic life and transportation.
In addition, the Wall Street Journal posted a blog discussing that Big Data is at, or near the peak of the Gartner “hype cycle” and “big data technologies are now soon to be due for a fall into the ‘trough of disillusionment.’” Continue Reading »
By Ian Cannings
Think you only interact with software on your computer? Consider this: a vast majority of the machines and devices you interact with every day – from your car to your coffee maker – are software based. Countless hours were poured into developing the software that makes these products run smoothly, but one single misstep in thousands, if not millions of lines of code can result in improper stopping power or a cool cup of coffee.
At Danfoss, we make products that save energy, costs and reduce the CO2 emissions of our customers. These products are used in areas such as cooling food, air conditioning, heating buildings, and controlling electric motors. As we produce smarter products, we face a new reality: with innovation comes more code. And more code means greater room for error. So, our challenge is to address this complexity within our devices – and the increasing interactions between mechanical, software and electrical components – without slowing development, raising risk, or escalating costs. Continue Reading »
By Paul Brody
3D printing, intelligent robotics, and open source hardware are three emerging technologies that stand to revolutionize modern-day manufacturing. These disruptive forces will usher in a new manufacturing paradigm that is managed by software and data files – something we call the “software-defined supply chain.”
For more than a year, my colleagues and I have been carefully studying the likely impact and implications of these technologies. We wanted to see if these new technologies could alleviate many of the constraints and the fixed costs of a traditional supply chain, and if so, to what extent? To verify this, we built an integrated supply chain model and then tore apart a series of electronics items – including a mobile phone, a hearing aid, a washing machine, and an industrial display. Continue Reading »
By Craig Sowell
With all the hype around cloud computing you’d be forgiven for thinking that it’s reached saturation. The truth is, for enterprises, it’s just beginning to take hold.
Industry watchers tell us that public cloud services will reach $131 billion in 2013. By comparison, this year enterprise IT spending will reach $3.7 trillion. In other words, we’ve barely scratched the surface.
The acquisition is intended to speed IBM’s ongoing focus the Fortune 500, which have yet to capitalize on cloud computing, as well as expand our reach to new clients including born-on-the-web companies. Continue Reading »
By Jane Munn
When mapping out a cloud infrastructure, one of the first things that becomes clear is the bifurcation between low-end, commoditized products and enterprise-class solutions.
But even within that second category, a quick look under the covers of certain solutions often shows a patchwork of proprietary products that lack integration and optimization – a little server virtualization here, some specialized apps there, and a little “something-as-a-service” somewhere else – with no real thought to the enterprise as a whole.
For clients to gain the full advantages of this technology, a strategic cloud solution should include virtualization, standardization and provisioning for efficiency, cost-effectiveness, ease of management and fast deployment. Just as important, that solution should cover software, servers and storage, with deep roots in open standards, to ensure that clients can take advantage of cloud’s benefits today while beating a path to the future. Continue Reading »
By Elizabeth O’Brien
Big Data is a term we hear a lot about in the business world. But these days, thanks to the insatiable hunger for player, team and league stats and analysis, it’s also becoming widely used in the world of sports.
In tennis, for example, Big Data includes tournament, match and player stats, things like serve speeds, rally counts, winners and aces. But more important than what Big Data includes, is how it is used to enhance and, in many ways, transform how we experience and enjoy the sport of tennis.
This week marks the 28th year of IBM’s partnership with the French Tennis Federation in support of Roland Garros (also known as the French Open). IBM brings a suite of solutions to Roland Garros, all centered on real time and historic Grand Slam data. We capture, analyze, secure, store and distribute the data—in fact Big Data is the heart of our collaboration with the FFT. Continue Reading »