Are you confident in the analytic insights that drive your business? Do you trust big data? Can you protect it? IBM can help with new innovative information integration and governance (IIG) capabilities to build confidence in big data.
When an organization sets out to become more customer-centric, lots of changes have to happen. Employees—from senior executives to the frontline—must change and adopt new behaviors and mindsets. Processes and technologies must change to reflect the company’s customer-centric desires. Large-scale
Success with big data comes down to confidence. Without confidence in the underlying data, decision makers may not trust and act on analytic insight. Without confidence in your ability to deploy new big data technology and the skills to exploit it, you might defer on big data projects.
Sean Murphy, senior scientist, Johns Hopkins University Applied Physics Laboratory, is this week's Big Data & Analytics Hero. This recognition program was created by IBM to acknowledge and highlight big data and analytics industry thought leaders.
How have big data and analytics impacted how
The amount of data created is growing rapidly and it is expected that in 2020 we will create a minimum of 40 trillion gigabytes; 40 percent of all this data is expected to come from sensors or machine-to-machine data. All of this data will significantly impact global industries, from creating
Viktor Mayer-Schönberger, professor of internet governance and regulation at the University of Oxford—and this week's Big Data & Analytics Hero—believes that big data and analytics will change the way we learn. Big Data & Analytics Heroes is a recognition program created by IBM to
In today’s increasingly connected world, machine data analysis is becoming a business imperative. While managing it may be challenging, opportunities abound across multiple industries for those who can tackle this complex data.
"Don't we already have a data warehouse solution?"
"Is big data even relevant to our organization?"
"Why do we need it?"
"Isn't big data costly and hard to implement?"
There is an obvious disconnect between the C-Suite and big data initiatives. Given today’s competitive market it’s hard to
Whether you call it stream computing, data in motion or real-time data, there’s no doubt that one of the most important aspects of big data is being able to capture, process and analyze data as it is happening. This is the velocity component of anybody’s definition of big data.
Unlike data that’s
Sophisticated analytics are enabling renewable energy companies with deeper insight which helps them better manager the variable nature of wind and solar, and more accurately forecast the amount of energy that can be redirected into the power grid or stored.
The issue of security for the energy and utility industry has historically focused on the physical security of its sites and keeping hackers from accessing the IT environment. This has been reasonably easy to manage as there are limited endpoints, many of which operate in isolation. But this is
Since big data is still relatively new technology, many of you are conducting research and seeking quality educational resources. That's apparent in this list of the 10 most popular analyst reports, ebooks and white papers. We are proud to offer such an extensive library - more than 40 items - from
This past weekend, as the United States of America celebrated its 237th birthday, I bonded with some of my closest companions – family, friends, music, assorted drinks, and junk food for most of the weekend. Though, one unwelcome friend was the massive heat wave that blanketed most of the US.
Looking to harness the power of big data to drive new business models in the energy and utility industry?
Need to enhance operational delivery and define new approaches to distributed generation?
Attend the “How big data is changing the utility landscape” webinar from the Engerati Insight series on