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In The News: Optimizing Supply Chain Using Real-time Data

Explore the transformative power of real-time data in optimizing supply chain processes in our latest blog post. Delve into expert insights from leading-edge CDOs actively engaged in ML production, showcasing the pivotal role of data-driven strategies in enhancing supply chain resilience and efficiency.

In today’s data-driven environment, the use of real-time data for optimizing areas like supply chain has seen rapid growth. While many supply chain professionals have always prioritized data analysis, the need to use real-time data has become more important since the pandemic exposed the brittle nature of complex, global supply chains. This has led to a majority of enterprises making significant strides incorporating streaming data into their digital road maps, but it is not without its challenges.

In this recent contributed article for New Equipment Digest Kilvin Mitchell, technical writer at Wallaroo, discusses the applications of real-time data in the supply chain, the technical challenges to integrating real-time data in production AI, and the requirements of MLOps platforms to address those challenges. Discover how ML deployment solutions with experimentation/testing features, a user-friendly navigational interface, and high-volume processing ability can keep your supply chain one step ahead.

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