IBM’s Institute for Business Value (IBV) and the University of Oxford just released their information-rich and insightful report “Analytics: The real-world use of big data.” Based on a survey of over 1000 professionals from 100 countries across 25+ industries, the report provides insights into
Healthcare has become a social business. The evolution towards social media, consumer expectations for quality and value in healthcare, and the urgent need to get healthcare costs under control are transforming the way healthcare is obtained, delivered and paid for. Social business strategies can
Today’s organizations understand the value of analytics. Recent studies, such as the joint IBM/MIT Sloan Management Review study, The New Intelligent Enterprise, have shown that strong positive correlations exist between market leadership and an enterprise’s analytics IQ.
Indeed, it’s fair to say
Your customers really don’t care how smart your data scientists are. Customers don’t spend much time contemplating how much work those data scientists might have put into tuning the analytic models that power your channels. And they probably wouldn’t listen if you tried to impress them with the
Innovation often comes from taking a fresh look at something you use every day and wondering, “This thing works just fine for its intended purpose, but could it do anything more?” That kind of thinking may one day lead to cars that actively monitor our health, both inside and outside the vehicle.
When an individual has suffered an irreversibly life-altering event, such as a traumatic brain injury, early detection of complications gives doctors the ability to plan and begin treatments sooner or potentially stop the progression of a condition altogether.
In a recent blog regarding the fusion
Dr. Barry Devlin, a data management authority and founder of 9sight Consulting, published a new white paper on big data titled “The Big Data Zoo: Taming the Beasts.” The paper provides a colorful and thought-provoking look at big data using animal analogies such as elephants, eagles and reptiles to
Big data is the core of your new enterprise application architecture. In the broader evolutionary picture, analytics and transactions will share a common big data infrastructure, encompassing storage, processing, memory, networking and other resources. More often than not, these workloads will run
CMOs (and their ranks of retail marketers and agencies) are working to bring creative-driven and data-driven marketing and advertising together in order to deliver relevance to consumers, drive stronger sales and discover deeper insight into audiences.
The fact is that CMOs are increasingly being
For the past few years, healthcare transformation discussions have centered around EMR adoption, data exchange and interoperability. As we conquer EMR adoption and begin to see the fruits of data exchange (albeit slowly), the conversation swings to analytics to inform and transform clinical and
The biggest service a university can do for its students is to prepare them for a career. That seems pretty self-evident, but too often the courses are too narrow or too focused on “book learning.”
An innovative new course at the University of Montana is casting that old model aside, thanks to the
Unified management tooling is important for low lifecycle cost of ownership and high administrator productivity. Appliances are workload-optimized systems, but they still require human administrators to oversee a wide range of workload management and other optimization, troubleshooting and
Well there’s real-time, then there’s real-time, then there’s real-time. As so often with me, this post was first drafted on a plane, and when it comes to in-flight technology, real-time means very real-time. But after that, there’s pretty much a spectrum. Real-time fraud analytics for a credit
An appliance is a fit-for-purpose, repeatable node within your broader big-data architecture. Many appliances will be optimized to support various mixes of big-data workloads, while others will be entirely specialized to a particular function that they perform with lightning speed and elastic
Big data is evolving into a cloud ecosystem. For example, it’s clear that Hadoop has already proven its core role in the big data ecosystem: as a petabyte-scalable staging, transformation, pre-processing and refinery cloud for unstructured content and embedded execution of advanced analytics.