Determining when data can’t solve a problem, identifying the dangers of generative AI, and removing outdated or inappropriate training data from machine learning systems.
- By Upside Staff
- August 22, 2023
Why are open source technologies still so popular? What questions should you ask when evaluating an open source solution, and where is open source headed? Jozef de Vries, chief product engineering officer at EDB, shares his perspective.
- By Upside Staff
- August 21, 2023
Deanne Larson, Ph.D., president of Larson & Associates, discusses data governance and data quality -- including success factors for data governance and which roles are responsible for data quality within an organization.
- By Upside Staff
- August 18, 2023
What you should know about MLOps, boosting ML models, and putting ML on smartphones.
- By Upside Staff
- August 17, 2023
These data visualizations show amusement park attendees, video game sales, and Barbie’s careers.
- By Upside Staff
- August 16, 2023
Generative AI is getting all the buzz lately, but a different kind of AI -- streaming AI -- may have a greater impact on an enterprise’s analytics. Lenley Hensarling, chief product officer at Aerospike, explains.
- By Upside Staff
- August 16, 2023
Artificial general intelligence, a term coined by scientists, describes computing systems that could eventually be as smart as humans. Practically speaking, what does this mean, and what are its implications?
- By Bob Muglia, Steve Hamm
- August 15, 2023
Learning from previous cybersecurity failures, creating a successful AI solution at a bank, and creating a vision of future cities.
- By Upside Staff
- August 15, 2023
Fern Halper, TDWI vice president and senior research director for advanced analytics, discusses data management in the age of AI -- including exciting use cases and potential challenges.
- By Upside Staff
- August 15, 2023