With the current explosion of analytics, the data management lessons we didn't learn with spreadsheets have returned with a vengeance. Help is at hand.
- By Barry Devlin
- July 1, 2019
Why the accuracy of data and machine learning models might be in the eye of the beholder and the carbon costs of AI model training.
- By Upside Staff
- June 18, 2019
One opinion on how data science jobs will change, a survey on current data preparation challenges, and three deadly sins to avoid in your data science practice.
- By Upside Staff
- May 30, 2019
To alleviate the drudgery of data preparation for your data science team, look for solution providers that are augmenting their data management platforms by using artificial intelligence, machine learning, and advanced analytics.
- By Troy Hiltbrand
- May 20, 2019
These four best practices will help ensure your data is of the highest quality.
What’s coming in the U.S. for consumer data protection, what enterprises can do to protect their data, and how new regulation might affect medical devices that depend on machine learning.
- By Upside Staff
- April 18, 2019
Data quality issues become even more important as machine learning use grows. DataOps and data wrangling help enterprises address this vital problem.
- By James E. Powell
- April 16, 2019
Machine learning applications are dependent on, and sensitive to, the data they train on. These best practices will help you ensure that training data is of high quality.
- By Greg Council
- April 15, 2019