Don’t let sparse data derail your analytics projects. Synthetic data can fill the gaps, but choosing the right generation method is key. Explore rule-based, statistical, and GAN approaches -- with their benefits and trade-offs.
- By Troy Hiltbrand
- March 20, 2024
AI and generative AI applications in the legal, healthcare, and automotive industries.
- By Upside Staff
- March 19, 2024
Karen Lopez, data evangelist with InfoAdvisors, discusses modernizing data management practices, including the biggest challenges organizations face and the expanding role of data governance.
- By Upside Staff
- March 15, 2024
Implementing successful governance programs and governing data for AI.
- By Upside Staff
- March 14, 2024
Although these technologies have only been discussed in isolation lately, we can expect the greatest innovations to take place as they begin to be combined in novel ways.
- By Rob Enderle
- March 13, 2024
Programming languages for data science, using Python as a data quality tool, and popular languages for programming AI.
- By Upside Staff
- March 12, 2024
The good news is that it’s not too late to start leveraging AI -- but the clock is ticking.
- By Brett Hansen
- March 11, 2024
With access to a broad sample of good-quality data and a thorough, disciplined tuning process, organizations will be better equipped to overcome the limitations of the current breed of generative AI functionality.
- By Alberto Pan
- March 6, 2024