2016 - Users Conference - San Francisco - Industrial IT
Get More From Your PI System Data with Advanced Analytics
Headquartered in Toronto, Barrick Gold Corporation is the largest gold mining company in the world. Barrick is actively investing in analytics to improve operations and its bottom line. Like many organizations on this journey, Barrick had to initially organize raw PI System data into Asset Framework and Event Frames for both basic analytics and fleet-wide analysis of equipment performance.
This session covers Barrick's ongoing analytics journey and their approach to assessing the right analytics for their business. Barrick plans to get more value out of their PI System data by standardizing and contextualizing the data to assess the potential value of descriptive, diagnostic, and predictive analytics. Descriptive analytics provide information about failures and past problems by standardizing PI System data in an organized, consistent form through the creation of hierarchies in Asset Framework. Diagnostic analytics reveal why failures happened and provide both fleet-wide and equipment specific insights for continuous improvement. Diagnostic analytics are achieved through the contextualization of PI System data using machine learning to create Event Frames. Predictive analytics use data science and machine learning to identify future failure of critical assets. Based in San Francisco, Element Analytics is an OSIsoft Connected Application partner that organizes industrial data into an accessible and useful form to enable descriptive, diagnostic and predictive analytics for industrial companies on Microsoft Azure."
Critical Facilities Data Centers & IT
Iain Allen is currently a Senior Manager in the Mining Information Technology group at Barrick Gold. He has been working in the mining industry for more than 25 years, accumulating a wide range of experience in 15 countries across 5 continents. His current group monitors new and innovative technologies relevant to all aspects of mining cycle, from exploration to closure. Spatial data collection, management and analysis is a specialty for Iain, and the growing use of UAVs (unmanned aerial vehicles) in mining is a particular interest. The PI System is a recent focus, and Iain looks forward to helping Barrick realize the potential of the data they are capturing with the PI System.
Sameer Kalwani is the founder of Element Analytics, where he oversees product strategy, development, and design. He was previously the CTO and Head of Product at Piramal Sarvajal, an innovative water utility that implemented a distributed infrastructure of water treatment plants. Prior to that, as a Deloitte consultant, he helped industrial and public sector companies manage their IT strategy and architecture in post-merger situations. Sameer also has experiences in enterprise IT at Apcera, finance at Goldman Sachs, and the automotive industry at Visteon Corporation. Sameer holds a B.S. in Electrical Engineering and a B.S. in Cognitive Psychology from University of Illinois, Urbana-Champaign and a M.B.A. from Harvard Business School.