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#761: Treasure Data CEO Kaz Ohta and CMO Karen Wood on the AI-driven reinvention of marketing
Today, we’re going to talk about the AI-driven reinvention of marketing. For years, marketing clouds have promised a unified view of the customer and personalized engagement, but many leaders are still struggling with fragmented systems, disconnected data, and unpredictable costs. Now, the demands of AI are exposing the foundational cracks in that legacy architecture, forcing a fundamental shift in how we think about the relationship between data,…
From the creators of The Agile Brand with Greg Kihlström® podcast, and the internationally best-selling The Agile Brand Guide® series of books on marketing technology topics, we're here to give marketers information and insights to make better decisions.
Martechipedia™ Wiki
The marketing wiki with everything you need to know:
Most popular terms
Overfitting
Overfitting is a modeling failure mode where an AI/ML model learns patterns that fit…
AI Development Lifecycle
The journey of an AI model from a simple idea to a live service…
Underfitting
Underfitting is a modeling failure mode where an AI/ML model is too simple (or…
Machine Learning (ML)
Machine Learning (ML) is a subset of artificial intelligence focused on building models that…
Concept Drift
Concept drift is the change, over time, in the relationship between input variables and…
Machine Learning Operations (MLOps)
MLOps (Machine Learning Operations) is a set of practices, processes, and supporting tooling used…
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Interoperability is key for martech stack efficiency
Interoperability is key for efficiency in today’s digital marketing landscape. In a world where data is king, the ability for…
