Daily curated updates on AI tools, models, and the companies building them.
As with all recent technologies, the first adopters of AI tools are the developers building the underlying infrastructure. They’ve naturally become the sole owners and decision‑makers, while other departments only signal what’s needed. Cloud computing and SaaS tools went through the same cycle, but the case of AI might be different. The AI data layer, which determines what information is accessible to in‑house AI models and agents, is outside the scope of any single department. For marketing teams in particular, control over which data feeds into an AI system isn’t an infrastructure question, as it can affect performance in various ways. Leaving the AI data layer solely to IT might be a mistake.
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