To truly scale AI for manufacturing, the foundational step is to build a unified and accessible data infrastructure. This means meticulously bringing together data from various systems and formats, dismantling departmental and technological silos, and ensuring consistent data quality across all sources.
Read moreWhile the challenges that arise when getting legacy and newer systems working in tandem can vary from plant to plant, three common hurdles arise in most situations. In this blog, discover what they are and how you can overcome them.
Read moreHaving a plan in place is key to achieving a lasting digital transformation. Our parent company, Belden, has shared six steps to a successful digital transformation.
Read moreAchieving digital transformation in manufacturing facilities has myriad benefits, from increased access to key data to improved efficiency. However, changes put in place to achieve your digital transformation can also bring some challenges during deployment. Find out how to overcome these obstacles.
Read moreIT’s data can play a major role in OT’s processes, ensuring goals are met and issues are detected. Collecting data can pose some challenges, and making it valuable is the next challenging step. The protocol MQTT can help, ensuring reliable data exchange between your systems and devices.
Read moreAs the need to collect and analyze data grows for most industrial facilities, you may be wondering about the most efficient ways to do so. Today, we’re looking at how industrial edge devices can be connected, and options based on your application’s needs.
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