Contributor: James Kobielus
James Kobielus is senior director of Research for data management at TDWI. He is a veteran industry analyst, consultant, author, speaker, and blogger in analytics and data management. At TDWI he focuses on data management, artificial intelligence, and cloud computing. Previously, Kobielus held positions at Futurum Research, SiliconANGLEWikibon, Forrester Research, Current Analysis and the Burton Group. He has also served as Senior Program Director, Product Marketing for Big Data Analytics for IBM, where he was both a subject matter expert and a strategist on thought leadership and content marketing programs targeted at the data science community. You can reach him by email (firstname.lastname@example.org), on Twitter (twitter.com/jameskobielus), and on LinkedIn (https://www.linkedin.com/in/jameskobielus/).
All articles by James Kobielus
Before tackling the complexity of disparate data sources, you need to understand how semantic abstraction layers can save you from a world of pain.
Robotics is one of the proving grounds for artificial intelligence (AI) in our lives.