It's no secret that industrial organizations have more data at their fingertips than ever before, which offers the promise of higher production rates, more consistent quality, and reduced costs through data-driven strategies. The most challenging obstacle for most businesses hoping to realize these promises centers around understanding the many tools used to harness this data effectively – a choice complicated by the shifting status of longtime standard OSIsoft’s ProcessBook and PI Vision applications.
Join us as we discuss:
• A framework for understanding and categorizing the current industrial analytics landscape
• The roles new AI and machine learning applications play in optimizing processes
• The current status and roles of ProcessBook and PI Vision in the market
• Methods for migrating from legacy systems like ProcessBook
• A firsthand look at the solutions dataPARC can offer in this evolving space
Kevin Jones has nearly 25 years of experience in delivering decision support and data analysis systems to industries including Oil and Gas, Paper, Mining, Energy & Utilities, and Chemical Manufacturing. Currently the Director of Partner & Product...
Adam Cooper has spent over 15 years at dataPARC, moving from a Process Engineer role to his current position as Senior Sales Engineer. During this time, he's managed projects for clients in the US, China, Taiwan, and Indonesia. His work involves...