There's a version of the AI modernization story that goes: build the platform, then...
The proliferation of AI models demands a sophisticated data layer to extract maximum value, making the foundation for agentic systems more critical than ever.
Organizations that master their data layer for AI will gain significant competitive advantages, driving efficiency and new capabilities across various functions, particularly marketing.
The focus for AI implementation shifts from simply deploying models to strategically building and managing the underlying data infrastructure that empowers autonomous agents.
- · Databricks
- · Data Infrastructure Providers
- · Companies with strong data governance
- · Marketing departments embracing AI
- · Companies with poor data hygiene
- · Legacy marketing platforms
- · Consultancies focused solely on model deployment
Increased investment in data engineering and data platform development within enterprises.
Consolidation of data platforms and a greater emphasis on unified data strategies to support agentic workflows.
The emergence of new job roles and skillsets centered around 'data stewards for AI agents' and 'agentic data architects'.
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