Synthetic data -- computer-generated data that mimics real-world phenomena -- is disrupting traditional data-to-insight pipelines, allowing organizations of all scales to test, tune, and optimize revolutionary AI models.
- By Yashar Behzadi
- June 28, 2019
How machine learning can improve cybersecurity, new techniques to protect models from attack, and why regulation confusion could create openings for hackers.
- By Upside Staff
- June 27, 2019
What lies ahead for BI and analytics and how can AI help? Anodot's David Drai shares his outlook on the role AI will play in your future enterprise strategy.
- By James E. Powell
- June 24, 2019
Identifying relationships within your data can give you the insights you need to improve decision making and enable regulatory compliance. Io-Tahoe’s CEO, Oksana Sokolovsky, explains why.
- By James E. Powell
- June 21, 2019
The use of data science, predictive analytics, and machine learning is growing across industries.
- By Upside Staff
- June 20, 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
How automation is helping data scientists, how users can understand automated machine learning, and how growth in machine learning and AI is changing business.
- By Upside Staff
- June 13, 2019
When AI is used for security, how advanced analytics detects fraud, and why data sharing could promote competition.
- By Upside Staff
- June 11, 2019