August 11, 2014
Half of 2014 has already passed us by, but it was chock-full of educational, thought-provoking and sometimes inspiring content here on the IBM Big Data & Analytics Hub. All week long, we will be reviewing the most read, most watched and most listened to content so you can catch up on anything you may have missed. It’s even better than binge-watching “Breaking Bad” on Netflix!
August 8, 2014
This blog discusses the value of Hadoop for government and how forward-thinking agencies are using it.
August 7, 2014
Wearable devices are becoming central to the modern lifestyle. These new devices will be among the first places where users originate personal data. They will also become the ultimate membrane where people consume the big data-driven personalized guidance being delivered from the cloud. In the process of supporting myriad roles in users' lives, wearables will almost certainly cache working data sets that push more deeply into big data territory in terms of their volumes, velocities and varieties. Nevertheless, under any likely scenario, individuals' personal data clouds will undoubtedly hold far more on the volume side of the equation than people store locally today.
August 6, 2014
Analytics Across the Enterprise is a new book authored by IBM analytics practitioners Dr. Brenda L. Dietrich, Dr. Emily C. Plachy and Maureen Fitzgerald Norton that details IBM’s past and present leadership in business analytics.
August 5, 2014
Suresh Sidhu, chief corporate and operations officer at Celcom Axiata Berhad and this week’s Big Data & Analytics Hero, shares insights on how they guided Celecom to be “a leader definitely in…market and possibly the most interesting [telecommunications company] out there today.”
August 4, 2014
What makes customers tick? Why do they buy, how do they prefer to shop and, the big question, why do they switch? These are all important questions that every organization faces. Understanding the socially connected customer (having a 360 degree view) makes it possible to provide a truly personalized experience.
August 1, 2014
Using IBM Bluemix to stand up Hadoop in minutes through IBM Analytics for Hadoop, powered by InfoSphere BigInsights.
July 31, 2014
There are complex challenges that a data scientist might face in statistically modeling real-time decision-support scenarios in fast-moving athletic competitions. Each sport needs to be modeled on its own terms. A within-game decision-support predictive model for one sport cannot be applied directly to another sport, even ones that share a common ancestor or many surface similarities. No two sports have exact same "game evolution" structure, embody the exact same rules, play on the same surface, use the same equipment or generate the same types of performance data.
July 30, 2014
This new series covers big data adoption across multiple industrial sectors, as well as the defining big data elements and anomalies prevalent across each sector.
July 29, 2014
Nigel Hook, CEO at DataSkill and this week’s IBM Big Data and Analytics Hero, declares that they “are looking to use the new cognitive computing to really differentiate their customer’s ability to drive revenue.” He discusses how companies can really understand their patients and ultimately their customers to impact revenues.