← This weekCase studyAI platforms — data science & MLRocheAt the Agentic Analytics Playbook event in London, Yannick Misteli from Roche highlighted a key reason AI pilots often fail: the lack of addressing 'day after' questions. These are the practical considerations that arise once a pilot is operational, beyond initial technology or budget concerns.
MyDataWork POV — Roche's insight into AI pilot failures is a wake-up call for data teams. It's not the tech or the budget that trips us up—it's the mundane, post-launch realities. Misteli's focus on 'day after' questions is a reminder that operationalizing AI requires more than a flashy pilot. It's about preparing for the everyday grind of maintenance and iteration. This is a message for those ready to move beyond the pilot phase, not for those still dazzled by initial AI promises.
See how MyDataWork relates to this item
Agent Studio can help teams like Roche's by providing a structured way to scope and define agentic use cases before they hit the 'day after' phase. By using the five-step flow to plan and document, teams can better anticipate and address post-launch challenges.
Explore MyDataWork ↗Discussion happens on Reddit — no comments are hosted here.