Before jumping into AI, it’s important to have a strategy. You need to know what problem you are trying to solve, where you are now, and where you want to go. The CEO of global data consultancy Carruthers and Jackson explains what’s involved in building this strategy and where AI -- not just generative AI -- is headed.
- By Upside Staff
- April 10, 2024
Neuro-symbolic AI integrates several technologies to let enterprises efficiently solve complex problems and queries demanding reasoning skills despite having limited data. Dr. Jans Aasman, CEO of Franz, Inc., explains the benefits, downsides, and use cases of neuro-symbolic AI as well as how to know it’s time to consider the technology for your enterprise.
- By Upside Staff
- April 8, 2024
How large language models work, fake AI charts, and bias in the model.
- By Upside Staff
- March 27, 2024
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
How leap day impacts the calendar and two maps for the 2024 solar eclipse.
- By Upside Staff
- March 20, 2024
AI and generative AI applications in the legal, healthcare, and automotive industries.
- By Upside Staff
- March 19, 2024
Check out early data visualizations, historical infographics, and the history of scroll bars.
- By Upside Staff
- 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