November 10, 2014
Data is the new natural resource, and those who can harness it will be leaders. But, there are many myths about how to make data work for an organization. During the Information Management Keynote at Insight 2014, IBM busts these myths. In her post, Harriet Fryman, vice president of Information Management at IBM, shares highlights and her perspective on how to make data work for you and your company.
November 3, 2014
There have always existed significant barriers to entry for early adopters of any new technology. For example, all the miles of cable that needed to be run in order for the world to take advantage of the miracle of electricity. Now consider the computer: devices that were capable of processing only the most rudimentary of algorithms used to fill rooms, and were programmed using cryptic punch cards. Now the world has been introduced to IBM Watson, the first and only (as of the time of this writing) commercially available artificial cognitive intelligence.
October 23, 2014
Data science by itself is an ineffectual civic-governance tool if it lacks strong champions who can wield it to get things done in the legislative, executive and judicial branches. Big data analytics can influence public policy if it helps frame a compelling case in the minds of decision makers for taking this or that action. And if data scientists can show that a counterintuitive scenario is more valid than "common sense" or "gut feel" on a particular decision, they just may change the terms of debate in public policy discussions.
October 16, 2014
I'm impressed with initiatives in the U.S. data scientist community to volunteer their time to worthy causes at home and abroad. Clearly, most of the data scientists who participate in communities such as New York-based DataKind have day jobs to pay the bills. But they see larger humanitarian causes (reuniting refugees, curing infectious diseases, feeding hungry populations and guaranteeing civil rights to the disenfranchised for example) that can benefit from the smartest data scientists applying their best efforts and most sophisticated tools to the task. To sustain the engagement of the data science community in these common causes, what's needed is for people and institutions to open source all of their decision-support assets: data, analytics, tools, platforms and, of course, expertise.
Getting to know today’s hero of data and analytics
October 3, 2014
Chief data officers are leading the charge to transform their organizations to be data-driven and capitalize on the tremendous opportunities data and analytics are creating for data leaders. Hailing from a variety of technical and analytical backgrounds, CDOs have the unique opportunity to shape their new emerging role.
September 30, 2014
How can we take documents, email or social media (and beyond) to show what they represent?
September 23, 2014
Most organizations aren’t able to derive context quickly enough to turn big data into action. Overcoming these challenges requires a real-time, context-aware computing platform.
September 22, 2014
We’re all consumers, and companies realize that in order to compete they must put the consumer at the center of their activities. They must understand the consumer, anticipate their needs and provide easy ways to engage. We have all become used to that, and are increasingly expecting the same kind of understanding and service from our government. While governments don’t compete with each other, they are competing with the way we as consumers are being engaged. In a very real sense, we are all citizen consumers.
September 22, 2014
The emerging role of the chief data officer (CDO) was a key topic discussed at the UK Data Governance Forum’s second annual seminar held in London this September. At the seminar, representatives from organizations across many industry sectors addressed the increasing importance of data, the rise of the CDO role and the necessity for successful information governance in generating business value from data.
August 28, 2014
Data is emerging as the world’s newest natural resource and the basis for a new kind of competitive advantage. Yet, for many organizations, the increasing volume, variety and influx of data is straining their IT infrastructures—traditional infrastructure was never designed to handle the magnitude of complexity of these new workloads. To keep up with the fast pace of today's business climate, it is essential for organizations to capitalize on next-generation infrastructure that integrates analytics-optimized systems and technologies to dynamically meet the demands of a data driven world.