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.

Machine learning as a fluid intelligence harvesting service

Machine learning as a fluid intelligence harvesting service

May 20, 2015 | by James Kobielus, Big Data Evangelist, IBM
Many machine-learning-as-a-service (MLaaS) offerings have natural language processing at their core to support applications such as concept expansion, language identification, machine translation, user modeling, visualization rendering and more. Discover how MLaaS boosts productivity by uncovering...
Trusting the ecosystem that sustains and maintains the Internet of Things

Trusting the ecosystem that sustains and maintains the Internet of Things

May 20, 2015 | by James Kobielus, Big Data Evangelist, IBM
Trusting the sometimes impersonal Internet of Things (IoT) will require pervasive, ongoing and implicit trust by society as a whole in IoT’s invisible ecosystem.
Apache Spark and the power of openness

Apache Spark and the power of openness

May 15, 2015 | by James Kobielus, Big Data Evangelist, IBM
The drive toward industry openness continues at full speed, and Apache Spark is expected to become one of the centerpieces of the big data industry fabric. As a closely aligned technology with Apache Hadoop, it stands to benefit from broad adoption of core open data platform technologies.
Tracking and monetizing the genome of human mobility

Tracking and monetizing the genome of human mobility

May 11, 2015 | by James Kobielus, Big Data Evangelist, IBM
Thanks to innovative life sciences efforts, it’s easier than ever to trace and profit from our genetic footprints.
The power behind Apache Spark

The power behind Apache Spark

May 8, 2015 | by James Kobielus, Big Data Evangelist, IBM
Poised for widespread commercial adoption, Apache Spark is drawing a lot of attention with its ability to perform advanced in-memory analysis of cached, unstructured data in an open source distributed-computing framework.
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...

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