UserTesting assembles online panels of people who comment on test products and features. They’ve just added an option to run tests on mobile devices in addition to desktop systems. Compared with Optimizely, it’s the difference between asking someone what they think and watching what they do.
IgnitionOne, a CDP with broad analytical and personalization functions, has added an AI-driven ability to predict the performance of advertising creative. Predictions are based on past performance of content that IgnitionOne’s visual recognition engine has classified as similar. Interesting.
Not everyone is jumping on the build-it-yourself bandwagon. Digital marketing platform Maropost has added e-commerce capabilities to create a unified marketing and commerce package. The company says its system is “the first platform to offer a 360-degree view into a customer’s touchpoints, communications and purchase history”. But I’m pretty sure that’s been done before.
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.