Blogs
James Kobielus
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
Next Best Action Driving the Fluid Modern Experience
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. Read More
IBM IOD 2012: The Big Data Buzz Continues to Amaze
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. Read More
Takeaways from Recent ZDNet TechLines Broadcast Panel on Big Data
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. Read More
Data Scientist: Chart The Customer Journey
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. Read More
IBM PureData System Incorporates Common Platform for Analytics and Transactions
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. Read More
Workload-optimized Systems? Integrated Management for Maximum Administrator Productivity
October 5, 2012
Unified management tooling is important for low lifecycle cost of ownership and high administrator productivity. Read More
Workload-optimized Systems? Clean-slate Design for Optimal Appliance Performance
October 3, 2012
An appliance is a fit-for-purpose, repeatable node within your broader big-data architecture. Read More
Workload-optimized Systems? Built for and Building the Big Data Cloud
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. Read More
Workload-optimized Systems? Scale In, Out and Up for Balanced Big Data Configurations
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. Read More
Workload-optimized Systems? Patterns of Expertise for Built-in Solution Best Practices
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. Read More
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