Natasha Bishop is a Big Data Strategy lead and moderates the popular Customer eXperience Optimization (#CXO) twitterchat. Follow Natasha on Twitter at @Natasha_D_G
October 23, 2014
Now that the Ebola virus is sitting in our backyard, the entire country is on high alert—and rightfully so, as it's no longer a disease that's plaguing people continents away, in little known countries. WHO indicates that there are 9216 Ebola cases with 4555 deaths. My first thought when I look at these statistics is: where is big data in the Ebola equation?
October 21, 2014
Intersect360 Research studies the opportunities for high performance technologies, including high performance computing areas in science, engineering and business. CEO Addison Snell (this week’s IBM Big Data and Analytics Hero) shares his insights with us.
October 16, 2014
It’s easy to understand why big data is intimidating as the whole gang of JSON, SQL, YARN and UDFs (user-defined functions) invoke glazed eyes and thoughts of extraterrestrial technologies. So, even to the uninitiated, what is the big deal about UDFs?
October 14, 2014
CenterPoint Energy can analyze 2.3 million smart meters at any point in time every day using InfoSphere Streams. Dr. Steven P. Pratt, corporate technology officer at Centerpoint Energy and this week’s Big Data & Analytics Hero, shares that “ultimately what we want to be able to do is recognize issues in our system before power outages occur.”
October 7, 2014
Many businesses are exploring the competitive advantages that data gives their customer experience and their bottom line. Menka Uttamchandani, VP of business intelligence at Denihan Hospitality Group and this week's Big Data & Analytics Hero, shares that “once we understand attitudes, we can reverse engineer our marketing message to reach our high potential guest as well as guests that look like them, that are not yet our guest.”
September 30, 2014
Ashok Srivastava, chief data scientist at Verizon and this week’s Big Data and Analytics Hero, shares some of the challenges of deploying big data and his role in bridging the gap to “understand where the market is and how data can be used to support that market.”
September 23, 2014
Michael North, senior director of broadcast planning and scheduling for the National Football League (NFL) and this week’s Big Data & Analytics Hero, asks the all important question: "How do you…find that one grain of sand?” North shares how they utilize data to deliver compelling match-ups on the best days for viewing with the help of IBM systems.
September 16, 2014
Phillippe Chartier, information delivery team lead at Canadian National Railway and this week's Big Data & Analytics Hero, tells us how they used to rely on monthly data reports, but now they operate more efficiently—in near real time—with predictive analytics. Canadian national Railway applies logical insights from their data to save fuel consumption, predict shipments and keep their trains running on time.
September 9, 2014
Retailers today have an insurmountable amount of data to digest and act on quickly not just to personalize the customer experience, but also to prevent fraud. This week’s IBM Big Data & Analytics Hero, David Speights, chief data scientist at The Retail Equation, shares some insights with us.
September 2, 2014
We have a lot of data today, both structured and unstructured, that, when used on time, at the right time, in real-time can save lives. Sharath Cholleti, this week's Big Data and Analytics Hero, gives us a glimpse of how they use data for better patient care.