Does generative AI change the role of the data engineer? As the demand for AI skyrockets, so does the demand for data and data engineering.
- By Ed Thompson
- July 24, 2024
TDWI’s Fern Halper explains what enterprises need to do to prepare for AI and introduces initial results from TDWI’s AI Readiness Assessment.
- By Upside Staff
- July 11, 2024
As we roll out AI, we are focusing too much on productivity and not enough on the things that truly need fixing.
- By Rob Enderle
- July 10, 2024
The technology-will-steal-your-job narrative has been around for at least 200 years. Some roles do disappear, but most simply evolve, adapt, and merge.
- By Jignesh Patel
- May 6, 2024
Members of corporate boards may overestimate their generative AI expertise and instead should be on a learning curve with the technology to ensure responsible adoption.
- By Asa Whillock
- March 4, 2024
With the increasing importance being placed on ethical AI, organizations are turning more to “explainable AI” -- a set of processes and methods that allow them to understand the output of machine learning algorithms.
- By Mark Do Couto
- February 22, 2024
The SAS Hackathon winner for 2023 was a group effort. Here’s how the project came about and came together, what data sources it used, who did what (and why), how the team overcame challenges, and what’s ahead for the project.
- By Upside Staff
- January 30, 2024
A framework for creating a data strategy, why business leaders must focus on data governance, and a process for consolidating and unifying your data.
- By Upside Staff
- January 30, 2024