IT'S ALL ABOUT THE DATA.
 Follow us on Twitter! Add us on Facebook! Add our RSS feed!

James Kobielus

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-power-of-behavioral-fingerprinting

The Power of Behavioral Fingerprinting

A big data application of online behavior detection is well suited for antifraud protection

the-ground-truth-in-agile-machine-learning

The Ground Truth in Agile Machine Learning

Distilling knowledge effortlessly from big data calls for collaborative human and algorithm engagement

in-data-science-take-nothing-on-faith

In Data Science, Take Nothing on Faith

Adopting a rigid regimen is required for vetting reproducible computational findings

ibm-data-magazine-its-value-and-its-vision

IBM Data Magazine: Its Value and Its Vision

A new course is set for an online publication with a rich tradition of serving the data management community

hidden-biases-that-may-cloud-cognitive-computing

Hidden Biases That May Cloud Cognitive Computing

Consign scrutiny of unconscious biases that data scientists bring to their analytics and algorithms

saving-the-planet

Saving the Planet

Planetary resource surveillance using geospatial analytics offers an innovative method for busting the bad guys

cloud-has-a-blu-lining-and-blu-has-a-cool-hub

Cloud Has a BLU Lining, and BLU Has a Cool Hub

IBM extends the reach of next-generation BLU Acceleration to the cloud and beyond

when-and-when-not-to-have-faith-in-statistical-models-part2

When and When Not to Have Faith in Statistical Models: Part 2

In addition to empirical validity and beauty, authority and efficiency contribute to accurate statistical models

when-and-when-not-to-have-faith-in-statistical-models

When and When Not to Have Faith in Statistical Models: Part 1

Criteria for high-quality, efficient statistical models begin with truth and beauty

wielding-big-identitys-double-edge-sword-responsibly

Big Identity’s Double-Edged Sword: Wielding It Responsibly

Identity resolution and big data analytics enhance customer engagement but should be sensitive to privacy

recommendations-galore-part-1

Recommendations Galore: Part 2

The ubiquity and complexity of recommendation engines can create transparency and accountability challenges

recommendations-galore-part-1

Recommendations Galore: Part 1

Explore the analytics-powered process engines of the new economy