Browsing: Synthetic

Synthetic datais used to replace poor-quality, fragmented, sensitive or nonexistent data for analytics or to train AI. Some organizations also use it to createsynthetic panelsto generate feedback. Using synthetically generated data can be faster and more cost-effective than real enterprise data. However, there are concerns over bias and inaccuracies.

Building on the Insider Threat Matrix, the new Synthetic Insider Threat Matrix provides common language, MITRE ATT&CK-style framework, and means to investigate real and growing AI insider threats

Synthetic raises funding through a $10 million seed round led by. Basis Set Ventures also participated in the round, alongside several operator-investors. These include Tobi Lütke of Shopify and Kaz Nejatian of Opendoor. Zach Abrams, Cosmin Nicolaescu and Michael Tannenbaum also joined the investor group.

Developing new cancer drugs requires deep pockets, iron patience, and a level of frustration tolerance that matches the Greek mythos of Sisyphos: The budget needed to bring a single cancer drug to market is estimated to exceed a billion US dollars, spent over almost a decade in development time, and more often than not the…

There’s significant debate about synthetic audiences. Sure, they save agencies and brands considerably on time and money, but there are inherent risks as well. Probably the biggest is that most synthetic data models are regressive — they trend toward the mean. They smooth out the edges, compress the variance, and pull everything within a standard…