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 (jkobielus@tdwi.org), on Twitter (twitter.com/jameskobielus), and on LinkedIn (https://www.linkedin.com/in/jameskobielus/).
All articles by James Kobielus
As we turn the calendar to 2024, TDWI predicts the following generative-driven innovations in data management.
- By James G. Kobielus
- December 19, 2023
Generative artificial intelligence has captured the imaginations of people around the world. Though not entirely new, generative AI is evolving so rapidly that technology professionals need to track its maturation closely to effectively evaluate the associated opportunities and risks. Here are the basics you need to know.
Data management has evolved into a very different discipline from what it was just 10 years ago.
- By James G. Kobielus
- December 21, 2021
Why multimodel platforms and serverless APIs became more popular among data management vendors this year while hype for hyperledger platforms waned.
- By James G. Kobielus
- December 20, 2021
Questions our analysts didn't have time to answer in a recent webinar highlight key considerations for moving to a unified data warehouse/data lake.
Before tackling the complexity of disparate data sources, you need to understand how semantic abstraction layers can save you from a world of pain.