Hi Napo,
Operational data is continuous, time-sensitive, and often safety-critical. By the time it's centralized, the moment to act on it has often passed, and the context your ops teams understand best gets lost along the way.
Join us on July 29 as we explore why intelligence needs to move to where your operational data already lives, instead of forcing that data into a central system before anything useful can be done with it. You'll learn:
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Why the centralize-first model struggles to keep up with real-time, regulated operations
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What it looks like to bring intelligence closer to the edge while maintaining enterprise-wide visibility and governance
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A clearer lens for evaluating your own data architecture
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Where centralization still makes sense, and where it's holding your AI initiatives back
Who should attend: Business and operations executives, plant leaders, industrial data and AI architects, and OT/IT teams responsible for scaling AI across distributed environments.
