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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 to attend InterConnect 2017

5 reasons to attend InterConnect 2017

February 28, 2017 | by James Kobielus, Big Data Evangelist, IBM
As a business technology professional, you need to manage your company’s information resources 24x7 while juggling concurrent projects and staying up to speed on changes in the technology and in your chosen field. You’re stretched thin but continue to seek out professional learning opportunities...
Machine learning enriches the private cloud

Machine learning enriches the private cloud

February 15, 2017 | by James Kobielus, Big Data Evangelist, IBM
Fundamentally, machine learning is a productivity tool for data scientists. As the heart of systems that can learn from data, machine learning allows data scientists to train a model on an example data set and then leverage algorithms that automatically generalize and learn both from that example...
Internet of Things: Setting business vision on speed and agility

Internet of Things: Setting business vision on speed and agility

January 27, 2017 | by James Kobielus, Big Data Evangelist, IBM
Internet of Things data, devices and technologies are evolving into a core platform that is expected to impact business flexibility and more. Take a look at some key comprehensive best practices for Internet of Things–enabled application development that can put speed and agility into your business...
Going beyond collaboration to achieve data-driven success

Going beyond collaboration to achieve data-driven success

January 25, 2017 | by James Kobielus, Big Data Evangelist, IBM
Today’s businesses need a culture of collaboration that empowers knowledge workers to glean cognitive insights from data that help transform and modernize operations. See how cloud-based platforms and solutions enable data scientists and other experts to exploit artificial intelligence, machine...
Gauging your organization’s readiness to drive digital disruption

Gauging your organization’s readiness to drive digital disruption

December 9, 2016 | by James Kobielus, Big Data Evangelist, IBM
Businesses have come to expect that smart rivals wielding digital technologies will disrupt their competitive landscapes. How ready is your organization to be a digital disruptor? Take a look at detailed criteria for assessing your organization’s readiness and the strategic steps you can take to...
Big data and analytics trends in 2017: James Kobielus’s predictions

Big data and analytics trends in 2017: James Kobielus’s predictions

December 5, 2016 | by James Kobielus, Big Data Evangelist, IBM
IBM expert James Kobielus offers his annual predictions for the new year that’s right around the corner. See what trends will define big data and analytics in 2017 and beyond.
Data industry experts offer 2017 predictions throughout December

Data industry experts offer 2017 predictions throughout December

December 1, 2016 | by James Kobielus, Big Data Evangelist, IBM
Wondering what’s in store for the data industry during the upcoming year? Tune into a live chat to find out what leading industry professionals are predicting for 2017 and beyond.
Tackling predictive uncertainty with Monte Carlo statistical analysis

Tackling predictive uncertainty with Monte Carlo statistical analysis

November 28, 2016 | by James Kobielus, Big Data Evangelist, IBM
Essentially, Monte Carlo simulations predict an outcome not from the actual values of input data (which aren’t known) but from the likely (aka “simulated”) values of that data (based on their probability distributions). These simulations can prove invaluable for assessing risks in many real-world...
Moving beyond spreadsheets into enterprise-ready statistical analysis

Moving beyond spreadsheets into enterprise-ready statistical analysis

November 21, 2016 | by James Kobielus, Big Data Evangelist, IBM
Although spreadsheets offer a stable, attractive option when working with numbers, they can fall far short when they are applied to enterprise-scale statistical analytics. Weigh the limitations of spreadsheets against the benefits of a sophisticated, enterprise-grade statistical analysis tool for...
Accessing the power of R through a robust statistical analysis tool

Accessing the power of R through a robust statistical analysis tool

November 15, 2016 | by James Kobielus, Big Data Evangelist, IBM
Open source tools continue to foster non-stop innovation throughout the Insight Economy. So it’s no surprise that open-source languages—most notably, R--have moved to the center of enterprise statistical analytics and data management.

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