In this webinar, we take a closer look at some of the pitfalls in scaling Industrial DataOps as it stands today - different data formats across plants create more maintenance headaches and slow down decision-making. Thus, understanding the inefficiencies of conventional DataOps scaling where IT teams are focused on a “ladder process” of data collection, model adjustments, and continuous updates across the first few initial plants — underlines the urgency for a strategic pivot.
Watch the recording to understand the core of our approach that addresses the vital need to:
Replicate what you want and need in plant #1 in every other plant.
Propagate use cases across all your sites.
Have centralized updates for templates, firmware versions, and new data tags, etc. from all your plants.
Manage all of this consistently and quickly — being agile and nimble.
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