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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.

5 reasons data engineers are attending IBM Insight at World of Watson

5 reasons data engineers are attending IBM Insight at World of Watson

September 22, 2016 | by James Kobielus, Big Data Evangelist, IBM
IBM Insight at World of Watson 2016 has oodles of opportunities for data engineers to enrich their skill sets with a bevy of best practices, peers to network with, pointers and tips to discover, sessions to attend and more. Consider five key reasons to get the green light from your organization to...
Next-generation data science: Open analytics ecosystems

Next-generation data science: Open analytics ecosystems

September 19, 2016 | by James Kobielus, Big Data Evangelist, IBM
Open data science initiatives can be a revolutionary force for innovation that spans diverse industries. And that force comes from the people in different roles and with various skill sets who use open source data science tools to develop and deploy new designs for working and living. Discover why...
Next-generation data science: Acceleration for team productivity

Next-generation data science: Acceleration for team productivity

September 12, 2016 | by James Kobielus, Big Data Evangelist, IBM
The productivity of data science teams—often challenged by access and formatting minutiae—can be enhanced by automating many of the manual tasks these teams need to process. Take a peek inside the mind of a data scientist, and see how acceleration of the data science development pipeline can boost...
Collaborate to foster cognitive disruption

Collaborate to foster cognitive disruption

September 9, 2016 | by James Kobielus, Big Data Evangelist, IBM
The importance of data science expertise, techniques and tools in a world rapidly employing advanced cognitive systems cannot be understated. Learn more about how business analysts, data scientists, data engineers, application developers and other professionals with analytical skills sets are using...
5 reasons data scientists are attending World of Watson

5 reasons data scientists are attending World of Watson

September 8, 2016 | by James Kobielus, Big Data Evangelist, IBM
As a working data scientist, you must deliver on your projects while at the same time staying up to speed on changes in your chosen field. That’s a tough balance, considering how stretched you already on the job and how quickly the world of data science is evolving. That’s where IBM World of Watson...
Getting the right mix of analytics specialists in data science teams

Getting the right mix of analytics specialists in data science teams

September 6, 2016 | by James Kobielus, Big Data Evangelist, IBM
The success of next-generation data science initiatives depends heavily on teamwork from the right mix of application developers, business analysts, data engineers, statistical modelers and other specialists. Discover more about the composition of high-quality data science collaboration through the...
Next-generation data scientist: Harnessing an integrated development environment

Next-generation data scientist: Harnessing an integrated development environment

August 1, 2016 | by James Kobielus, Big Data Evangelist, IBM
A day in the life of data science professionals likely involves navigating the challenges and complexities of sourcing, preparing, modeling, developing and governing data, analytics tools and other assets in collaborative environments. Get a glimpse of the roles that compose data science teams and...
How can data scientists collaborate to build business applications?

How can data scientists collaborate to build better business applications?

June 10, 2016 | by James Kobielus, Big Data Evangelist, IBM
We asked five social influencers how data scientists can collaborate to build better business applications. See what they had to say.
Highlights from the Apache Spark Maker Community Event

Highlights from the Apache Spark Maker Community Event

June 8, 2016 | by James Kobielus, Big Data Evangelist, IBM
Stay on the cutting edge with these highlights from the Apache Spark Maker Community Event as you sit in on interviews with industry leaders and explore the power of the IBM Data Science Experience.
Experiencing deeper productivity in open data science

Experiencing deeper productivity in open data science

June 7, 2016 | by James Kobielus, Big Data Evangelist, IBM
Reimagine the data science experience as an open experience with this IDE, which aims to facilitate a full range of development tasks, from data acquisition and data mining to prototyping and programming. When you do, discover how you can use Apache Spark and R to pursue open analytics by building...