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
Natural language processing is helping enterprises analyze their data, but its complexities extend beyond understanding inputs and outputs. Behavioral Signals’ CEO, Rana Gujral, explains NLP’s strengths and weaknesses and compares text, voice, and facial recognition technologies.
- By James E. Powell
- July 17, 2020
How to communicate the importance of data governance, use machine learning for cybersecurity, and protect data privacy with AI.
- By Upside Staff
- July 16, 2020
As the COVID-19 pandemic wears on, many are adjusting to the idea that nothing is going back to normal soon. These visualizations show the path to a vaccine, possible repercussions from the pandemic, and higher education paths for the class of 2021.
- By Upside Staff
- July 15, 2020
How data scientists can work alongside BI and avoid biases, plus new information about time spent on data preparation.
- By Upside Staff
- July 14, 2020
This list of essential self-service BI capabilities goes beyond report creation tools to include the means of supplying and distributing premade assets.
- By Mike Brody
- July 14, 2020
Combining streaming analytics and in-memory computing can provide a potent tool for tackling new problems.
- By William L. Bain
- July 13, 2020
Ralph Aloe, director of enterprise information management at Prudential Financial, Inc., explains how his enterprise put data virtualization to use, including how the technology fits in with their data fabric, benefits they enjoyed, and lessons they learned.
- By James E. Powell
- July 10, 2020
How to manage problem areas for data science, compensate for machine learning’s weaknesses, and improve your data culture.
- By Upside Staff
- July 9, 2020