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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.


Ensembles to Boost Machine Learning Effectiveness

Employing ensemble-based crowdsourcing can confidently identify best-fit models


Monetizing a Crowdsourced Data Scientist Existence

Can project-oriented crowdsourcing initiatives put food on data scientists’ tables?


Explore New Frontiers in Business Analytics

Converging basic and advanced analytics paves the way for keen insight and business innovation


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

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


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

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

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


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

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


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: Part 1

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