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Helping organizations achieve operational excellence. So, check out our events to start improving operations with predictive analytics and data historians.
And don’t forget to check out our LinkedIn, Facebook, and Twitter page for event updates and more information. We look forward to seeing you at the next event!
Visit Us at TMAC Smart Manufacturing October 22, 2019
Come visit us at booth #303 at the 2019 TMAC Smart Manufacturing Conference in Dallas. Learn how our customers use HanAra’s data management solution HanPrism and predictive maintenance solution HanPHI to turn its data into actionable intelligence. For more information, check out the conference website.
Say Hi at GCPA Fall 2019 Conference
Come say hi at the GCPA Fall 2019 Conference in Austin October 15-16. For more information, check out the conference website.
Visit Us at Energy Exchange August 20-22
Come visit us at booth #543 at Energy Exchange in Denver. Learn how our customers use HanAra’s data management solution HanPrism and predictive maintenance solution HanPHI to turn its data into actionable intelligence. For more information, check out the conference website.
Visit Us at IDEA2019 June 24-27
Come visit us at booth #252 at IDEA2019 in Pittsburgh. District energy sites use HanAra’s data management solution HanPrism and predictive maintenance solution HanPHI to turn its data into actionable intelligence. For more information, check out the conference website.
Visit Us at Big 10 & Friends Utility Conference May 13-17, 2019
Come visit us at booth #211 at the Big 10 & Friends Utility Conference. UT-Austin uses HanAra’s data management solution HanPrism and predictive maintenance solution HanPHI to turn its data into actionable intelligence.
Visit Us at CampusEnergy2019 February 26-29
Come visit us at booth #25 at the CampusEnergy2019 conference. We will also be presenting with The University of Texas-Austin during the Innovative Maintenance Strategies session on Thursday from 2:30 -3:00. Our presentation, "Using an Intelligent Predictive Maintenance Tool for Detecting & Predicting Equipment Failures at the University of [...]