You were even less interested in data privacy vendor Privatar’s $80 million Series C. But I’ll still mention this $15 million raise by Okera, which is also helps companies to discover and manage access to sensitive data. Some day you’ll thank me.
Just 20% of marketers have real-time or daily access to cross-channel marketing performance data, according this study from Salesforce’s Datorama. Only 33% say they have “excellent” marketing data integration and management. No surprise here but it’s why we keep reporting on data integration technologies.
Enrichment is good, but not if it’s done with stolen data. Encryption is one way companies avoid that. This Ponemon Institute study found that Protecting customers’ personal information is now the most common reason for using encryption (54%). The most common challenge (67%) was discovering where sensitive data is stored in the organization – something else a CDP often helps companies to do.
Unauthorized training data isn’t an existential threat to generative AI but it’s certainly a headache for users and developers alike. Most developers are trying to exclude materials that creators have explicitly labeled as unauthorized and citing “fair use” as justification for copying everything else. Getty Images has taken an opposite approach, building its gen AI tool only on materials that are explicitly licensed. It’s possible that tracing the provenance of training data will become a standard, similar to how organic food producers trace the origins of their ingredients.