PRESENTATION
2017 - Users Conference - San Francisco - Academic Symposium
Applied Data Science, Big Data and The PI System – Teaching the Next Generation of Engineers the Skills of Today
Industrial applications of big data and IOT are established and well known. However, studies have shown that data utilization is low in many organizations, which greatly limits the scope and sustainability of data driven initiatives. Traditional process, chemical, mining, and industrial engineers are being called upon to be data scientists early on in their careers. Low levels of data utilization will continue unless changes are made on how engineers are schooled and trained. Industry and academia must work closer together than before to address this problem. The University of Utah’s Mining Engineering Department is working on a model to teach engineering applications of big data. An approach is presented showing how University of Utah has partnered with mining companies and OSIsoft to create a suite of data management classes. Students are taught OSIsoft provided dynamic simulators and AF templates. Results from the first course are presented and a path for future courses.
Company
University of Utah
Speaker
Pratt Rogers
Pratt is an Assistant Professor of Mining Engineering at The University of Utah. He is deeply interested in the use of data to improve organizations. He has extensive consulting and research experience in the mining industry related to business intelligence, mining technology, operational excellence, and sociotechnical systems.
Before joining University of Utah, Pratt was VP Product Development for MISOM Technologies where he was a highly effective manager and cross-functional team builder. He and his team worked on delivering software and business intelligence solutions with an integrated information platform, which delivered analytics, and reporting used for continuous improvement of safety, costs, and productivity.
Pratt holds a BS, MS and PhD in Mining Engineering from University of Arizona.