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
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
Prepare for new data privacy regulations by fortifying these eight focus areas.
- By Kristina Podnar
- June 17, 2019
Regulators continue to encourage privacy protection, but the public response is mostly "So what?" How should we defend privacy in the digital world?
- By Barry Devlin
- June 10, 2019
As interest grows in new technologies, many enterprises are reconsidering their data warehouses. What makes graph databases different from traditional RDBMSs?
- By Steve Sarsfield
- May 28, 2019
Being ready for new data privacy regulations, why IT decision makers are concerned about security, and how to define roles for better data governance.
- By Upside Staff
- May 28, 2019
As enterprises adopt AI, they'll need a sound deployment framework that enables security, compliance, and session management.
- By Ramesh Mahalingam
- May 21, 2019