Part 2 of a 3 part series: Envisioning the Strategic Value of IBM Smarter Analytics Suite for Communication Service Providers
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In my last blog entry, I wrote about emerging technologies in the IT domain. Today, I’ll be sharing specifically what IT concerns
This week we’re in New York City for IBM’s Smarter Analytics Leadership Summit where we are gathering with industry leaders to share insights on how they are working with IBM to leverage the explosion in big data and power intelligence to drive transformation in their organizations.
Nowhere is this
Big Data. It’s everything from machine data from sensors to social media, audio and video, transactions, and enterprise content. We’re all trying to figure out what it means and how to leverage it to better understand our customers and drive change in our organizations.
So what’s the answer?
We all need an attitude adjustment when it comes to analytics.
According to Nate Silver, keynote speaker at IBM’s recent Information on Demand (IOD) conference, New York Times contributor, and author of the recently released book, “The Signal and the Noise: Why So Many Predictions Fail, but Some
In June, we asked the very important question, how does big data affect our world?
In industries throughout the world, executives recognize the need to learn more about how to exploit big data. In fact, 28 percent of organizations today are already tackling these big data questions. But despite
Analytics is a deciding factor that determines whether organizations succeed or fail. Those able to effectively manage, store and tap information for game-changing insights can capitalize on virtually endless opportunities. Those who cannot master the data may ultimately find themselves playing a
More and more organizations are turning to Predictive Maintenance. These solutions help predict which asset or part of an asset is likely to fail or needs service, so organizations only replace parts or machinery when needed, not when they are “supposed to.”
In my mind, IBM Watson represented a sentient super computer.
That’s what I thought when I was selected for one of 17 internships among almost 1,400 applicants to work with the IBM Watson team this summer.
I soon realized, however, that IBM Watson represents next-generation analytics technology –
Companies implementing analytics solutions outperform their peers across a range of financial measures – 1.6x revenue growth, 2.0x EBITDA growth, and 2.5x stock price appreciation (State of Smart Report).
For insurers, applying Smarter Analytics to daily decision making offers a huge new
There are many similarities between data and food. Food fuels our bodies, data fuels our IT systems – especially our analytical systems. Eating right is a key enabler to our health. Consuming the right amounts of the right data can be a key enabler for insightful analytics. So just as we try to
According to fans on Twitter, Wimbledon women's champion, Serena Williams, and men's finalist, Andy Murray, have been crowned the most popular social players from the 2012 Wimbledon Championships, as IBM’s Social Sentiment Index unearthed a range of unexpected insights from more than 1,270,000
Big data. Two words that are inescapable in today’s business world.
What do we really know about big data? We know that 90 percent of the world’s data has been created in the last two years alone. We know there are multiple uses for big data in every industry – from analyzing larger volumes of
So far, we’ve discussed the definition of “healthy data” and provided an overview of the process for getting there. In the next few installments we’ll focus on each phase. We’ll start with a deeper discussion on setting achievable goals.
Great things are possible with discipline and hard work.
In my last post, we reviewed what we mean by "healthy data" for Smarter Analytics. In this post we'll talk a bit about an overall program for achieving healthy data.
Getting to healthy data is a bit like getting to a healthy body - a problem many of us are all too familiar with. It is an ongoing
We all want to implement smarter analytics - to turn information into insights that we can use to improve both our personal and professional lives. Yet we are often faced with a fundamental, often nagging, problem of getting the right data for whatever analytics we are trying to implement. It’s