CDP Institute

Openprise, the revops-focused CDP, has announced a new AI Factory. Part of the Openprise RevOps Data Automation (RDA) Cloud, the Factory will allow marketing, sales and revenue teams to create AI-powered data management and automation tools without an assist from IT. The Factory also has built-in security and compliance components.

Google plans to help agencies identify and purchase the best publisher inventory and audiences across Google Ad Manager. The solution is called “curation for agencies” and it already supports Audigent, IAS, Liveramp, Lotame, Multilocal, Permutive, PrimeAudience and Scope3. Curation capabilities include discovery, forecasting and packaging in one location for participating DSPs.

Three-quarters of consumers want to know when they’re talking to an AI agent, while 72% trust brands less than they did a year ago, a sharp decline from 49% in 2022. That’s according to a State of the AI Connected Customer survey from Salesforce. Around 45% are more likely to use an AI agent if they understand the logic behind it (good luck) and there’s a clear escalation path.

Misleading election-related ads are “running rampant” on Meta-owned Facebook, but Google-owned YouTube is also making money from misinformation. Research by Media Matters, independently confirmed by the New York Times, found 30 YouTube channels that between them had posted almost 300 videos containing misinformation which had earned some 47 million views. YouTube is monetizing them with ads and sharing revenue with the creators.  YouTube says election-denial falsehoods don’t violate its guidelines.

Options are growing for creators to license their content to AI firms without giving up ownership. Hard on the heels of a big funding round for Tollbit, Reddit and Zynga founders have come together to create Troveo, a licensing platform, with $4.5 million in seed funding. Troveo says it has deals in place which will be worth $5 million to creators by year end.

Fifty-five percent of CMOs are struggling to source the AI talent they need, according to a survey of over 100 B2B enterprise marketing, sales and revenue professionals by LXA. Nevertheless, almost 70% expect AI to dramatically reshape marketing organizations. All are spending on AI tools and technology with 43% allocating 11%-30% of their budget to AI.

The new version of Pega’s platform extends its GenAI Coach, an AI-powered copilot, across all Pega applications. Pega also announced new integrations with data warehouses including Snowflake and email monitoring and optimization within the Pega Decision Hub. Pega has added Amazon Bedrock and Vertex AI to OpenAI as sources for its large language model.

Marketing executives have responsibilities beyond marketing, according to a survey of 100 by McKinsey. Advertising (93%), consumer insights (78%) and PR/comms (64%) are among their additional roles. Only 25% feel their organizations can handle this expansion.

Around three-quarters of advertisers, adtech businesses and publishers have embraced a cookieless future according to an international survey of 200 in the industry by ID5. Around the same number are refusing to rethink as a result of Google’s pivot away from (itself) deprecating cookies. Most attributed Google’s pivot to Privacy Sandbox criticisms (63%) while almost as many cited the investigation by the U.K.’s Competition and Markets Authority.

A potential Google competitor, ChatGPT Search was long rumored, then announced and is finally here and available for use. It generates responses to natural language prompts but also includes links. Now all search marketers have to do is figure out how to rank in the results.

Developers using Google Gemini API and AI Studio to create AI-powered services and bots are now able to use Google Search to ground their prompts. A grounding prompt in gen AI provides context to help a model better respond. In this case, Google Search will, hopefully, provide the models with the truthful data they need.

AI is becoming a must-have for the enterprise with spending on generative AI up 130% on 2023 according to a survey by AI Wharton at UPenn. The number of decision-makers using gen AI once a week has doubled to 72% over the same period. Concerns remain about accuracy, bias and data privacy.