Avoiding machine learning problems, using ML to help sales, and using IoT for machine monitoring.
- By Upside Staff
- August 4, 2020
Getting started with machine learning, the challenge of training multiple ML models, and how machine learning may improve pooled testing programs.
- By Upside Staff
- July 30, 2020
What are the big trends enterprises face in BI and analytics? Satyen Sangani, CEO and cofounder of enterprise data catalog vendor Alation, explains why he thinks machine learning, data literacy, data governance, and data catalogs are so important right now.
- By James E. Powell
- July 27, 2020
The path to speedier and more powerful analytics may be in-memory databases.
- By Neil McGovern
- July 24, 2020
This is an important question to ask about many new IT systems and tools. The answer depends on many factors -- including forming the question properly.
- By Philip Russom
- July 20, 2020
A new algorithm shows biased training data, why humans can fool machine learning, and AI for social good.
- By Upside Staff
- June 30, 2020
From migration struggles to vendor lock-in, we look at some of the most challenging enterprise problems and changes ahead with Raj Verma of MemSQL.
- By James E. Powell
- June 9, 2020
AI myths to watch out for, a new metric for measuring the efficiency of ML, and how NLP can be used to screen the news.
- By Upside Staff
- May 26, 2020