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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
October 31, 2012
Customers want their experiences to flow smoothly all the way downstream to happy outcomes. And you want that too, of course, as long as their personal outcomes sync up with your business’ outcomes: retention, sales, profits and so on.
October 29, 2012
Information On Demand 2012 (IOD) was a sensational event from start to finish. This was my sixth consecutive IOD, and my first as an IBMer.
October 17, 2012
Big data is everybody’s priority these days, and it’s always exciting to see what different organizations are doing with it.
October 15, 2012
Your customers really don’t care how smart your data scientists are. Customers don’t spend much time contemplating how much work those data scientists might have put into tuning the analytic models that power your channels.
October 9, 2012
Big data is the core of your new enterprise application architecture. In the broader evolutionary picture, analytics and transactions will share a common big data infrastructure, encompassing storage, processing, memory, networking and other resources.
October 5, 2012
Unified management tooling is important for low lifecycle cost of ownership and high administrator productivity.
October 3, 2012
An appliance is a fit-for-purpose, repeatable node within your broader big-data architecture.
October 3, 2012
Big data is evolving into a cloud ecosystem. For example, it’s clear that Hadoop has already proven its core role in the big data ecosystem: as a petabyte-scalable staging, transformation, pre-processing and refinery cloud for unstructured content and embedded execution of advanced analytics.
October 2, 2012
Big data is, fundamentally, a cloud-computing approach to advanced analytics and data management. The images that come to mind when somebody says “cloud computing” are a) increasingly sprawling server farms and b) increasingly huge server racks arranged in endless rows within these farms.
October 1, 2012
Expertise is precious and hard-won. Perhaps you’ve cultivated it in-house through long-term investment in staff skills and training, in which case you risk having it walk all out the door at any time. Perhaps you’ve recruited experts externally, and paid a premium for their specialties.