The challenge with the technology world is that new technologies keep popping up on a daily basis with significant overlap and with no clarity on where and how they will fit in the architecture and what their scope will be as they interact with other systems and cross-functional processes. There is also typically a misunderstanding of a data and analytics system vs. a system that is designed to automate and integrate operational workflows and allow teams to collaborate on a single thread of data. One such system is ODP that has been making a lot of buzz with its potential to predict operational failure using Industry 4.0 technologies. But where does it fit in the architecture, and why do companies need another piece of software when they already have so many technologies?
In today's episode, our guest, Prateek Joshi, shares his insights into the operational data platforms and their role in the enterprise architecture for manufacturing companies. He also discusses the scope and boundaries for many systems such as ERP, MES, historians, and ODP, and how ODP will interact with each of these systems. Finally, he shares several stories of food and beverage companies where they were able to deploy ODP into their existing architecture to detect and predict anomalies across operational data sources and predict operational bottlenecks and failures before it's too late or expensive.
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