One of my favorite activities is exploring how big data can make people's lives better. High-quality, affordable, universally available healthcare is fundamental to that equation, and big data clearly has a strong role to play.
In late January 2013, I'll be co-presenting with Jianying Hu, IBM
While consumers may think of social media sites like Facebook, Twitter and Foursquare as places to post musings and interact with friends, leading companies are turning them into extensions of market research departments, using advanced and predictive analytics.
During a recent deep dive into some holiday marketing and retail research, it occurred to me that Santa’s job at the North Pole must generate a substantial amount of data. The question I came to was this: did he even know it? If so, was he using the data to improve distribution procedures and
What's sexy about data science? It has been dubbed the "sexiest occupation" of the 21st century, but you don't see hordes of autograph-seekers and paparazzi flitting around many data scientists. James Kobielus looks at why data science is hot.
How are organizations approaching big data? What challenges are they experiencing? What are the commonalities in big data projects across industries and geographies? These questions and more are answered in a podcast with a lead researcher on the report "Analytics: The real-world use of big data."
To a communications service provider, tweets and Facebook posts are nothing more than meaningless data flowing across their network, right? WRONG! Savvy communications service providers are using big data to detect qualitative consumer sentiment and gain timely insights about brand, product,
When thinking of use cases for big data analytics, consider your need for immediacy. Do you have the need to know now, not just the ability to know now? In other words, would you do something differently at that moment if you knew the answer immediately?
What if you could learn what’s happening as it’s happening, and use what you learn to change what happens next? Sounds like a futuristic sci-fi movie itself, doesn’t it? But it’s not only possible now, it’s happening - even in an industry that hasn't changed much in 50 years.
There is no doubt about it: the practice and profession of marketing is changing… rapidly.
This evolution-level transformation is being seen in virtually every industry across B2C and B2B organizations. It’s being heard by both in-house marketers and outsourced marketing service providers and
It’s difficult to read a banking technology article or go to a conference without hearing about big data. Most of us now believe that big data is more than just hype, that it can offer business benefits to those that can leverage big data into new business capabilities. But a common question I hear
In Part I of this series, we looked at the key considerations for an analytic enterprise to stay competitive in today’s world, and in Part II we discussed how those translated into imperatives for a supporting big data platform. In Part III we covered how IBM applied those considerations and
Predictive analytics encompasses a variety of statistical techniques from modeling, machine learning, data mining and others that analyze current and historical facts to make predictions about future events. In business, predictive models exploit patterns found in historical and transactional data
I recently returned from Las Vegas where IBM hosted its annual Information On Demand conference with over 12,000 attendees. The theme for the conference was “Think Big,” and the bulk of sessions centered on the way different industries are using big data to improve business results in their
Energy and utility companies face increasing pressure to accurately predict the supply of energy attributable to renewable resources. By factoring in weather and other key variables, utilities can determine their capital investments and where and when to deploy new generation assets. They also seek