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Big Data Evangelist
As IBM's big data evangelist, James Kobielus is IBM Senior Program Director, Product Marketing, Big Data Analytics solutions. He is an industry veteran, a popular speaker and social media participant, and a thought leader in Big Data, Hadoop, enterprise data warehousing, advanced analytics, business intelligence, data management, and next best action technologies
July 25, 2012
James Kobielus recaps the July 24 big data tweetchat, sharing insights from Pacific Northwest National Laboratory, Trident Marketing, TDWI and others. Find out how they started their big data initiatives, their results to date and advice for others.
July 24, 2012
One of the myths I deflated a few blogs ago was this prevailing notion that, as I expressed then, "data scientists are just an elite bunch of precious eggheads."
July 19, 2012
James Kobielus previews a July 24 tweetchat on big data business drivers, justification strategies, staffing and skill requirements, technical environment, and KPIs. He'll moderate the chat and be joined by PNNL/Battelle, Trident Marketing and others.
July 17, 2012
As brick-and-mortar outlets are crumbling or being "showroomed" out of existence, how should retail adapt to digital channels? James Kobielus looks at IBM Research's prototype of a mobile shopping app that uses augmented reality technology to transform the in-person shopping experience. How could this transform the customer "journey" by adding multiple decision points - and points of sale?
July 16, 2012
James Kobielus recaps his recent Facebook Quick Hits, on RAM as a dumping ground, big data's optimal deployment model, frictionless sandboxes, sexy statistics and big data "scores," and advanced visualization.
June 29, 2012
James Kobielus busts 10 myths about data scientists and explains their "mathemagical" superpowers.
June 29, 2012
James Kobielus recaps the quick-hit ponderings from the IBM Netezza Facebook page. He went deeper on the themes of sexy statistics, Hadoop uber-alles, smartphones as big data analytics platforms, and big data's optimal deployment model. And he opened up a fresh topic: frictionless sandboxes.
June 26, 2012
By using your data, you can "humanize" your conversations with customers, regardless of which channel they use to interact with your organization. Find out how IBM Watson's architecture may serve as a model for more intelligent engagement.
June 22, 2012
Here are the quick-hit ponderings that I posted on the IBM Netezza Facebook page this past week. I went deeper on the themes of experience optimization, Hadoop, big data crowdsourcing, and DW appliance proofs of concept. And I opened up a fresh topic: big data's optimal deployment role. I also attended and spoke at the Hadoop Summit last week, which stimulated many thoughts you'll find reflected in this coming week's quick-hits: