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MainTrain 2022 Technology Panel: Data to Decisions

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Content Description
Original date: 
Tuesday, September 20, 2022

Are we converting our data to decisions? What is the state of digital adoption in asset management? What has changed since the onset of Covid? What has stayed the same? Using the DIKW Pyramid as our guide, combined with the experience and insights of our panelists; we will explore best practices in data-informed decision-making. Are we now in a much different place on our digital adoption journey?  

BoK Content Source: 
MainTrain 2022
BoK Content Type: 
Asset Management Framework Subject: 
04 Asset Information, 4.00 Asset Information General, 4.02 Asset Information Standards, 4.03 Asset Information Systems, 4.04 Data & Information Management, 05 Organization & People
Maintenance Management Framework Subject: 
9.1 Information Systems, 9.3 Master Data Management, 10 Continuous Improvement, 10.1 Metrics / KPIs, 10.3 Maintenance Management Improvements, 10.4 Maintenance Practices Improvements, 10.5 Asset Reliability Improvements
Author Bio: 

Moderator: Justyna Krzysiak, P.Eng, Pragmatic Strategist
Justyna Krzysiak is a professional engineer with 20 years of progressively responsible experience in people leadership and project management across refining and specialty chemicals supply chain; and energy infrastructure projects, engineering information, and asset management. As past conference chair of Edmonton MainTrain 2019, she is looking forward to the hybrid format, and connecting, learning, and contributing in person by moderating this panel discussion on two topics she is passionate about: digital adoption in traditional industries and data-informed decision-making for better risk management. 

Panelists: Dr. Janet Lam, Assistant Director, C-MORE, University of Toronto
Dr. Janet Lam holds a PhD in Industrial Engineering from the University of Toronto. She has been working in the field of maintenance optimization since 2008, with an emphasis on optimal scheduling of inspections for condition-based maintenance. More recently, her research interests have extended to machine learning approaches for maintenance and asset management. Through her work at C-MORE, she has applied academic research directly with industry partners, including those in mining, utilities, transportation, and the military. As the Assistant Director of C-MORE, Janet is involved with cultivating strong relationships with industry partners and developing maintenance engineering resources that are both useful and current.

Paul Daoust, Founder, Managing Director, Scio Asset Management Inc.
Paul Daoust has almost 30 years of experience in asset management and operational excellence in the energy sector.
As the founder of Scio Asset Management, Paul is declaring war on mediocrity and empowering progressive operational leaders to make better decisions to stop value leakage in their organizations through learning, coaching, advising services, and technology solutions.
As a director of, Paul is a leading international advocate for asset management practices for industrial and infrastructure asset-owning organizations.

David Armstrong, Director, Cohesive Group
David merges field proven capabilities with the practical experience of building digital asset management systems with leading transformative change. He has helped Asset Owner Operators for 25+ years from the ground floor up to achieve significant results in the areas of Operational and Reliability Excellence, Investments & Engineer-Procure-Construct, Enterprise Configuration management and Asset Performance Management. This puts him in the ideal position to integrate Engineering, Operations and Maintenance across the complete asset lifecycle, and realize the enormous potential that the Digitalization of Industry 4.0 has to offer.
David holds a Master’s in Enterprise Configuration Management from the University of Phoenix, is an Aladon RCM2 Practitioner and a Six Sigma Blackbelt, Project Management Professional that pairs certifications with practical battle scars from running cultural change management initiatives within asset intensive industries: heavy industry steel, O&G, water and power utilities and mining sectors. Typically, he challenges his projects to drive out costly variation by understanding the contributing root cause data points that not only determine the right strategies at the right time, but also to enable actionable results within the evolving science of data analytics. David is passionate about deriving maximum results from the circular economy, fostering discussions on socially responsible projects and inclusive societal systems and programs, supported by digital enabling solutions.