CDP Institute

You can think of digital experience platforms as expanded versions of content management systems.  That’s certainly the case with Optimizely, which is the name adopted content manager Episerver after it purchased experimentation platform Optimizely in 2020.  They just launched Optimizely One, an integrated-but-composable “marketing operating system” that spans content creation, audience selection, personalization, experimentation, and analytics.

Narrative offers a platform for companies to buy, sell, and share customer data without violating privacy regulations.  They just concluded a deal that lets companies whose data is stored in Snowflake to code the data with Unified ID 2.0 tokens, making it available as advertising audiences through The Trade Desk.  It’s one more extension of Snowflake’s footprint in the customer data world.

Google has strengthened the indemnity against claims of copyright infringement that it provides to users of its generative AI tools.  The announcement notes that general indemnity was already in place for claims about training data.  It adds coverage for claims about outputs generated by Duet AI and Vertex AI.

Google has announced a first-party data management tool, Google Ads Data Manager, for release early next year.  The system will connect data from multiple sources, including CDPs and cloud data warehouses, and make the results available to create advertising audiences and measure advertising results.  Not quite a CDP but you could mistake it for one in a dark room.

Prophecy offers a no-code data transformation platform, using a visual interface to generate transformation code.   They just raised a $35 million Series B, bringing total funding to $67 million.   In what could be a sign of genAI-fatigue, the press release doesn’t mention AI although the company website does list AI-based tools.

Aampe describes itself as “the AI-native user engagement platform,” so they clearly think AI is still cool.  The system combines real-time tracking of user behavior with automated testing of message attributes to generate personalized app content for each individual and adjust the content after every user action.  They just raised $7.5 million in Pre-Series A funding, bringing their total to $9.3 million.

One factor slowing adoption of generative AI is the challenge of knowing whether it was used to produce any particular piece of content.  Adobe is backing an open standard to tag AI-generated materials with details about their origins and changes.  It just announced adoption by partners including Microsoft, Leica, Nikon, Publicis, and others.  There’s an online Content Credentials hub where consumers and creators can verify content; it’s consistent with the Coalition for Content Provenance and Authority (C2PA) standard.