By James Kobielus
Big Data is a bit like our solar system. It’s a brilliant system of information and analysis that emerges from the inchoate gas, dust, rocks and crystals known as “data.” Cloud computing is the galaxy wherein the stars, rocks, and particles exist and interact.
To play this analogy out, data scientists would be the astronomers. They’re the ones who explore the spinning, interconnected, system, much of which consists of scattered matter that we lump together under the term “unstructured.”
But what exactly is a data scientist? Simply put, the data scientist is among the most important developer in Big Data. The discipline includes statistical analysts, data miners, predictive modelers, computational linguists, and other professionals whose job is to find deep insights in large, complex data sets. You can’t unlock the full value of Big Data in your business if you don’t bring together your best and brightest data scientists and give them the tools they need to do their job with maximum productivity. Continue Reading »
By Jill Puleri
These are crucial times for brick-and-mortar retailers as they evolve to put the consumer at the center of all that they do. Those that make good decisions are going to prosper; those who don’t are going to slip to the back.
Central to retailers’ ability to remain relevant is their response to the mobile opportunity. Mobile commerce is expected grow 115 percent over the next 12 months. Though the opportunity is clear, capitalizing on it is full of complexity as retailers integrate web sites and supply chains together with the numerous mobile devices that consumers are using to shop.
Just a few years ago, many retailers were working feverishly to push out shopping applications for mobile devices. There was good reason for the rush: tens of millions of consumers are jumping on the smart-phone band wagon and using them to shop. Continue Reading »
By Deepak Advani
The Internet Age has made it possible for dramatic amounts of information to be available at our fingertips. And as capacity expands and accessibility grows, we push ever closer to the Internet-of-things, where our physical and digital worlds are tightly coupled and leveraged.
With the ability to generate, share, store and access increasing amounts of data – Big Data – the challenge soon becomes one of management and analysis. Left alone, the mountains of seemingly disparate information are useless. But when mined intelligently, they become treasure troves of insight that can unlock benefits, such as improved customer service, equipment-saving predictive maintenance, and new business opportunities, to name a few. Continue Reading »
By Steve Hamm
When Brenda Dietrich joined IBM with a newly-minted PhD in operations research 30 years ago, she ran into a buzz saw of ignorance about the role that math could play in business. She offered her expertise to an IBM manufacturing group in Poughkeepsie, New York, but was rebuffed. The only way they could use her math skills, they told her mockingly, was in helping to balance their checkbooks. “We’ve come a long way in the recognition of the value of math and analytics,” says Dietrich, CTO of IBM’s Business Analytics division.
Today, math and data analytics are seen as essential elements for businesses and other organizations when it comes to understanding how the world works, predicting the future and making better decisions. In this world of Big Data, the Internet of Things and social networks, organizations use math to help improve everything from operations and finances to their understanding of customers, employees and the interactions of physical and social systems. As data about all manner of things becomes more readily available and has computers become ever more powerful, we are at last able to deal with complexity and uncertainty, and, as IBM Watson’s victory on the TV quiz show Jeopardy showed, we can create machines that think. Continue Reading »
By Ademola Adewale
The next phase of banking sector reforms and consolidations in Africa’s most populous nation will be driven, not by the industry regulator or by industry or market forces but, by technology, technology and technology.
Computing technology has become a key business driver for Keystone Bank as we embark on a comprehensive overhaul of our systems, processes and human resource assets and capabilities.
Like financial services institutions all over the world, Nigerian banks are increasingly realizing the transformative powers that technology can inject into their products/service delivery offerings and by extension, their reputations and expanding balance sheets. Continue Reading »
By Christian Bieck
The most urgent and strategic initiative that I currently discuss with insurers is that of “Customer Centricity.” That’s because a lot of insurers are having a hard time understanding their customers, many of whom are becoming multi-modal.
A multi-modal customer is one who interacts with a provider through a variety of modes – or interaction points – i.e., face-to-face, phone, websites or aggregators. Often, a multi-modal customer will not purchase a product or service from the interaction point they used to collect information and gather a quote.
Finding success in today’s environment means that insurers must present the right data, information and offers to the right customers, at the right time, and through the right interaction points – many of which are digital.
Andy Stanford-Clark, an IBM Master Inventor who lives in the United Kingdom, jokes that his goal was “world domination” in 1999 when he and Arlen Nipper of Eurotech invented a protocol aimed at greatly improving machine-to-machine communications. This was at the time when another British technology pioneer, Kevin Ashton, coined the term “Internet of Things” to describe how the Internet could be connected to the physical world via a vast network of sensors. Stanford-Clark believed that his protocol, now called MQ Telemetry Transport, or MQTT for short, would enable organizations to quickly and affordably gather, integrate and make use of all of that sensor data. It would be an essential underlying technology for the Internet of Things. Continue Reading »
By David McQueeney
Five years ago, IBM launched its Smarter Planet initiative, describing the era in which we currently live and operate in as the “Era of Smart,” one marked by forward-thinking leaders in business, government and society capitalizing on smarter systems to achieve economic growth, operational efficiency and sustainable development.
Since 2008, we have moved beyond the world of programmable systems to our first steps in cognitive systems – systems that exploit large data sources and can “learn.” Our Watson system may highlight this new way of operating best. For the first time, a computer has the ability to consult a broad range of human language resources, learn from historical training data, and answer surprisingly complex questions. We are forced to rethink how computers can work with humans on complex tasks, by showing the world a system that is able to respond based on what it ‘knows’ – facts and information and training – rather than simply what words match in a simple search.
By T. Ravichandran
Ask anyone in academia about launching a new graduate program and you’ll quickly learn it is no easy task.
Foremost among the challenges faced is the need to develop a consensus within the campus community. It’s crucial to make the case to the administration, deans, faculty and other stakeholders that the degree you seek to launch is necessary, that there’s a strong demand for the subject matter it teaches, and – most importantly – that the program will empower today‘s students with the skills needed to obtain jobs upon graduation.
This week, I am happy to say that my school, Rensselaer Polytechnic Institute, has developed a strong consensus for a new Master’s level program in Business Analytics that will launch in September 2013.