Observed Signal · Jul 13, 2026 · Interview · Source: VideoWeek · Impact: 2/5 · Sentiment: Positive
Large Language Models & AI Market: Dailymotion's AI Strategy Evolves Over a Decade
Dailymotion has employed machine learning for more than ten years to recognise patterns and optimise towards media KPIs, but the company says ML can be limited when KPI optimisation does not equal broader business outcomes. Paolo Mulè, SVP of Global Clients & Strategic Partnerships at Dailymotion, explains that modern AI and large language models (LLMs) introduce a layer of judgement that can improve how pattern-based ML insights are translated into business-relevant decisions. The piece is an interview with Mulè about Dailymotion Advertising’s AI approach and observations of brand use of AI, filmed in Cannes and published by VideoWeek on 13 July 2026.
Explains how a video publisher (Dailymotion) integrates modern AI/LLMs with longstanding machine learning to improve campaign judgement and align KPIs with business outcomes — informative for advertisers and publishers but not industry-shifting.
Key Takeaways & Evidence Grounding
- DailyMotion has used machine learning for more than a decade to recognise patterns and optimise towards media KPIs.
- Paolo Mulè is SVP of Global Clients & Strategic Partnerships at Dailymotion and commented that machine learning can be "pretty dumb" when optimising specific KPIs that may not align with business outcomes.
- Dailymotion is using modern AI and large language models (LLMs) to add judgement to the patterns identified by machine learning.
- The interview with Paolo Mulè (filmed in Cannes) was published by VideoWeek on 2026-07-13.
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