Attribution specialist Visual IQ announced a new Marketing Intelligence Platform that works with individual-level data. The system integrates cross-device identifiers, ad impressions, online and offline interactions to build complete customer profiles, enhances these with audience attributes from third party sources, adds marketing cost information, applies multiple attribution techniques, and can forecast future performance. It also includes marketing mix models, TV attribution, native ad bid management. and integration with external real time bidding platforms. Much of the new technology comes from Visual IQ’s acquition of Refined Labs in October 2016.

There’s one more funding announcement today but I know you don’t care. So here’s a little pre-Labor Day treat instead: a Target Marketing survey about the martech buying process. Worst news: just 47% of respondents said they create formal requirements before evaluating products. Better news: buyers take time for online research, demonstrations, and trial installations before making a final choice. (If you do care about funding: it was $21.4 million for VideoAmp.)

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.