Groundbreaking examples of artificial intelligence, protecting your enterprise from the risks of generative AI, and possible guardrails for generative AI.
- By Upside Staff
- August 29, 2023
The key to employee acceptance of AI is an aggressive management commitment to focus on using AI to enhance -- not replace -- a user’s job. Also key: loud and clear communication of that goal.
- By Rob Enderle
- August 28, 2023
Teresa Letlow, SVP Global Cloud Alliances at StreamSets, and Jason Yeung, VP NA Center of Excellence, BTP at SAP, share their thoughts and insights about achieving success with modern analytics.
- By Upside Staff
- August 25, 2023
Fern Halper, TDWI’s vice president and senior director of research for advanced analytics, discusses her recent TDWI Best Practices Report on achieving success with modern analytics -- including exciting use cases and common challenges organizations need to overcome.
- By Upside Staff
- August 24, 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.
Determining when data can’t solve a problem, identifying the dangers of generative AI, and removing outdated or inappropriate training data from machine learning systems.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