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.
Determining when data can’t solve a problem, identifying the dangers of generative AI, and removing outdated or inappropriate training data from machine learning systems.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
What you should know about MLOps, boosting ML models, and putting ML on smartphones.
- By Upside Staff
- August 17, 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
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
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
New insights about AI and analytics use for healthcare, politics, and business in general.
- By Upside Staff
- August 10, 2023