Observed Signal · Jul 17, 2024 · Analysis · Source: CMSWire · Impact: 2/5 · Sentiment: Neutral
Why 93% Ignore AI in Marketing
Recent research from The CMO Survey reveals that companies use AI in marketing only 7% of the time, with only 10% of organizations having large language models (LLMs) in active production and 40% never using LLMs. The article highlights challenges such as accuracy, security, decision-making depth, and skillsets. It argues that high-quality data and analytics are essential for generative AI to deliver meaningful insights and effective personalization. Strong data supports targeting, trending, content contextualization, optimization, automation, and compliance. Forrester analyst Brandon Purcell warns that LLM interfaces don't ensure robust underlying analyses. The piece concludes that brands must invest in data management and analytics foundations to realize AI's potential.
Reports on low AI adoption in marketing and emphasizes data quality; relevant but not breaking news.
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Key Takeaways & Evidence Grounding
- The CMO Survey found companies use AI in marketing only 7% of the time.
- Only 10% of organizations have LLMs in active production.
- 40% of organizations have not used LLMs at all.
- Data quality is essential for generative AI to generate meaningful insights.
- Forrester's Brandon Purcell states that LLM interfaces do not ensure robust analytics.
Connected Companies & Entities
2 Entities mapped“Jonathan Moran, Head of MarTech Solutions Marketing, covers global product marketing activities at SAS....”
“As Forrester analyst Brandon Purcell writes in his most recent research......”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
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