Google announced last week that, in commemoration of Data Privacy Day (Jan 28), it was expanding its differential privacy library to the Python programming language. Differential privacy helps address the problem of encrypting AI training data by adding noise into the data set and making it harder to isolate and extract the original data from the system.
This Wpromote report has lots of interesting information about marketing budgets, including the surprising news that retail media is already starting to lose importance. But I’m only writing about it because they mentioned “brandstanding” (brands taking a stand on public issues), which is a new buzzword to me. I am easily amused.
A sobering new report by the Information Technology and Innovation Foundation (ITIF) projects long-term cost to businesses upwards of $1 trillion, if the US doesn’t pass a national privacy law. This would, in large part, be due to the need to manage a host of duplicative and nuanced state laws. The ITIF also estimated cost to small business would be tens of billions.
Databricks is highlighting its interest in marketers through out-of-the-box integrations with partners including Adobe, Braze, Salesforce, MessageGears, and Tealium. All will be able to run campaigns using information in the Databricks data intelligence platform without data syncing or copying.