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
Scientific research has become a data powerhouse, propelled forward by sequencing and imaging technologies that accumulate data at astonishing speeds. However, managing petabytes of fast data is not a challenge exclusive to the scientific community. With the deluge of social, mobile and business
We certainly live in a connected world. It always amazes me when I see how smarter enterprises are using the highly interconnected, intelligent and instrumented qualities of today’s technology to make our world a better place: the way we interact changes, how we approach our day is different and
Think it, try it and build it with IBM Bluemix, a cloud-based developer sandbox for big data and data management services. Bluemix makes agile mobile and web app development with best of breed capabilities a reality.
Insight 2014, formerly Information On Demand, will bring more than 13,000 business and IT professionals together to exchange ideas and share experiences around harnessing the data coming from all directions in real time. Industry pundits, peers and thought leaders will connect the dots between big
Gartner has recently released their first ever Magic Quadrant for Structure Data Archiving Application Retirement. In this report, Gartner evaluates vendors based on their capabilities and offerings for structured data archiving and application retirement. IBM has been recognized as a leader in the
Medical professionals are between the proverbial rock and hard place when trying to determine whether, how and why patients are failing to comply with doctor's orders. On the one hand, their ability to help people depends on having intimate, current and accurate knowledge of people's physical
Research indicates that business and IT professionals spend more than 70 percent of their time finding data, validating it or defending it, rather than focusing on what they find most important: analyzing the data. With too little time spent focusing on data analysis, organizations derive sub-
http://ibm.co/5stepsThis big question looms whenever and wherever practitioners all join together to discuss advances, changes and needs in the industry. While, in some ways, the answer is “yes"—because there is a need, a desire and a significant opportunity—in many ways healthcare organizations
As the quantified-self (QS) movement picks up steam, it will become more feasible to instrument more at-home infants with 24x7 physiological monitoring. It's increasingly feasible to cradle the baby's entire birth journey (prenatal, delivery, postnatal) in a comforting stream of vital signs, real-
I’m looking forward to the upcoming Healthcare Analytics Symposium in Chicago next week (July 14-16) led by Health Data Management. During this analytics focused conference, we will hear from innovators who are leveraging big data and analytics in a variety of ways to solve real problems that touch
Consider this quote from the recent “Improving Government Performance in the Era of Big Data: Opportunities and Challenges for Federal Agencies Workshop” at Georgetown University: “The seduction of big data is that it allows you to do things that you could not do in the past.”
The question is,
Building confidence in the big data and analytic initiatives requires good governance. Data from a variety of sources, and in different formats, heightens the need for strong, proactive governance. Health information management professions area ideal candidates for this critical need.
Real-world experimentation of a very personal and hyper-analytical nature is what the quantified-self (QS) movement is all about. QS practitioners are playing with approaches that behavioral scientists have traditionally applied to third-party subjects within controlled laboratory experiments. The