Blogs

James Kobielus
Big Data Evangelist, IBM

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.

The resurgent relevance of the data warehouse

The resurgent relevance of the data warehouse

April 23, 2015 | by James Kobielus, Big Data Evangelist, IBM
The data warehouse has never been more relevant than it is now. The DW’s role in the big data universe appears likely to grow. What the DW does, above all else (and this is far from its only role in many organizations) is serve as hub for governing your system-of-record data to be delivered into...
Machine-milled insights and the limits of algorithmic automation in cognitive computing

Machine-milled insights and the limits of algorithmic automation in cognitive computing

April 23, 2015 | by James Kobielus, Big Data Evangelist, IBM
Machine learning is a tool for making humans more productive. Machine learning methods vary in degrees of automation. Regardless of how one performs machine learning, data scientists must still prepare the data sets, specify the algorithms, execute them and interpret the results. The process of...
Accelerate your operational analytics

Accelerate your operational analytics

April 20, 2015 | by James Kobielus, Big Data Evangelist, IBM
Operational analytics are critical to business success. Whatever back-end system powers them—online transaction processing database, data warehouse, data mart, and so on---operational analytics can deliver the insights that drive real-time decisions in today’s dynamic business environments.
Predictive business: Tools for bending the future in your direction

Predictive business: Tools for bending the future in your direction

April 9, 2015 | by James Kobielus, Big Data Evangelist, IBM
High-quality predictive analytics, statistical modeling and data mining tools are the heart of a well-run modern organization. Organizations of all sizes, in all sectors and geographies, are using these tools to drive evidence-based predictions into the full range of business processes, operations...
Fluidity: The key to continuous confidence in cloud analytics

Fluidity: The key to continuous confidence in cloud analytics

April 2, 2015 | by James Kobielus, Big Data Evangelist, IBM
Fluidity is the degree to which your cloud data analytics resource can be rapidly and cost-effectively repurposed and reconfigured to respond to and proactively drive change in a dynamic world. The fluidity of the logical data warehouse depends on core interfaces, infrastructure and tooling that...
Delving deeply into the narrative hierarchies of computer vision analytics

Delving deeply into the narrative hierarchies of computer vision analytics

March 26, 2015 | by James Kobielus, Big Data Evangelist, IBM
Deep learning algorithms are growing progressively smarter at recognizing patterns in video, audio, speech, image, sensor and other non-textual data objects. Correlation of deep learning model results with other sources of contextual information can show how the information supplied by media and...
The evolving shape of distributed databases in the Internet of Things

The evolving shape of distributed databases in the Internet of Things

March 19, 2015 | by James Kobielus, Big Data Evangelist, IBM
Databases are evolving into a new stream-centric architecture that is well-suited to real-time distributed analytic computing in the Internet of Things. This new paradigm will leverage distributed event logs, temporal database concepts and materialized views as core architectural concepts. As it...

Visualizing big science like never before

March 12, 2015 | by James Kobielus, Big Data Evangelist, IBM
Scientists are increasingly using computational methods to analyze larger samples of the populations of interest, as well as deeper correlations within those populations, than ever before. This is the new paradigm of whole-population analytics, which has become more feasible as storage costs...

Fogs, logs and cogs: The newer, bigger shape of big data in the Internet of Things

February 26, 2015 | by James Kobielus, Big Data Evangelist, IBM
Big data is becoming the next best thing to true magic. It is everywhere and, increasingly, nowhere specific. Every node in the known computing universe is becoming a component in a vast, distributed, pervasive big data cloud. In an Internet of Things (IoT)-centric world, cloud’s processing,...

The dev@ was in the details, and in my delivery

February 12, 2015 | by James Kobielus, Big Data Evangelist, IBM
Let's take a closer look at the strengths, but mostly the weaknesses, of my Ignite dev@Insight 2014 presentation, “Data science is not a magic wand for diagnosing global warming.”

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