The Consumer Financial Protection Bureau (CFPB) wants to regulate how data brokers handle sensitive consumer data. Prompted by concerns about data use to power AI, the bureau is drafting a set of restrictions it plans to share in September.
It’s always obvious that leaders in every department overstate their importance. The latest reminder comes from Jitterbit, which found that 75% of IT leaders say their department is the main driver of automation efforts while just 29% of marketing and human resources leaders agree. Respondents say 51% of integration projects are managed by central IT compared with just 11% managed by business departments, but remember that the majority of respondents work in IT.
The New York Times changed its terms of service to protect against use of its content for AI training. The change prohibits use of “robots, spiders, scripts, service, software or any manual or automatic device, tool, or process designed to data mine or scrape” its content. This follows a similar move last week by Microsoft.
Media mix models (MMM), originally developed in the 1960’s, have undergone a resurgence as new technologies make them easier to execute and click-based attribution becomes less credible. But evaluating MMM brings its own challenges. Australia-based Mutinex offers a vendor-neutral Open Source MMM Validation Framework which is now available for free to North American marketers and agencies.