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Sweet Success: How Mars Inc. Uses AI and Observability to Perfect Chocolate Production

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What if you bought your favorite candy and the flavor didn't match what you had bought? You wanted lemon and got orange. What if you opened the package and instead of 20 pieces, you only got one?

 

To continue to ensure that this never happens with Mars' products whilst keeping high quality standards, an efficient manufacturing process, and most importantly customer happiness, Mars Inc. has developed the Digital Twins, an AI-based set of solutions that analyzes and recommends optimizations for production lines in the factories.The solution ensures the Mars Snacking products will have the right size, weight, and other key characteristics in an automatic way.

 

To make this possible at scale, Mars relies on Datadog to provide real-time observability across its global operations. From on-prem and cloud infrastructure to applications and AI components, Datadog enables prediction and prevention of incidents and disruptions on the production optimization process, early detection of issues and errors, faster root cause analysis, reduced resolution time of incidents, and right-sizing of the digital environment. This observability layer is essential for delivering the reliability, scalability, and agility that modern digital manufacturing demands.

 

By combining AI-driven automation with comprehensive observability, Mars has transformed its factories into intelligent, adaptive systems. Join this session to hear about Mars Inc.'s innovation and learn how you can minimize waste and maximize product consistency with Datadog.

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