Farzi Yusufali

Farzi Yusufali

Co-founder

Stratum

Farzi is an experienced hardware and software engineer having implemented machine learning solutions to legacy industries (like retail and telecom).   

 Her undergraduate degree from the University of Waterloo in nanotechnology engineering (and quantum computing) informs her ability to deploy creative solutions to hard problems. Farzi's many years working with real data to produce ML systems that meet strict KPIs is a consequence of the math background required to create such custom protocols.

With a personal history with mining, creating a new standard for resource modeling and estimation was a natural progression of this work. Here's an example of how Stratum's technology is applied to a client's mine.

Farzi Yusufali

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Presenting on

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  • 13:40
  • Tue, 31 Oct
  • 13:40 - 16:00 AEDT
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  • 140 min
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  • Tue, 31 Oct
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  • Mining Innovation
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  • Hatch Mining Innovation Theatre

Mining Optimisation

  • 13:40 - 13:45
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  • 5 min
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  • Tue, 31 Oct
Welcoming Remarks
  • 13:45 - 14:05
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  • 20 min
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  • Tue, 31 Oct
The Evolving Role of Digital Fuel Management – Planning for the Energy Transition
  • 14:05 - 14:20
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  • 15 min
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  • Tue, 31 Oct
VRIFY Presentation
  • 14:20 - 14:40
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  • 20 min
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  • Tue, 31 Oct
Constraining Vein Domains for Orogenic Gold Deposit in Western Australia
  • 14:40 - 15:00
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  • 20 min
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  • Tue, 31 Oct
Harnessing Earth Observation Data to Revolutionise the Mining Lifecycle
  • 15:00 - 15:20
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  • 20 min
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  • Tue, 31 Oct
Using Dynamic Simulation to Rapidly Align Teams on Operational Decision Making that Improves Business Outcomes: An Underground Mining Case Study
  • 15:20 - 15:40
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  • 20 min
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  • Tue, 31 Oct
The Connected Bench - Delivering Productivity, Safety and Sustainability
  • 15:40 - 16:00
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  • 20 min
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  • Tue, 31 Oct
Keynote Address: Future of Maintenance, Technology & Innovation
  • 14:00
  • Tue, 31 Oct
  • 14:00 - 17:20 AEDT
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  • 200 min
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  • Tue, 31 Oct
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  • Digital Transformation
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  • Convergio Digital Transformation Theatre

Applications of Digitalisation & Artificial Intelligence

  • 14:00 - 14:05
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  • 5 min
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  • Tue, 31 Oct
Welcoming Remarks
  • 14:05 - 14:20
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  • 15 min
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  • Tue, 31 Oct
Mining Keynote: Practical Applications of AI in Mining
  • 14:20 - 14:40
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  • 20 min
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  • Tue, 31 Oct
Landing the Digital Promise: What it Really Takes to Deliver Value
  • 14:40 - 15:00
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  • 20 min
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  • Tue, 31 Oct
A Technology Journey that Supports the Increasing Complexity Facing Operations
  • 15:00 - 15:20
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  • 20 min
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  • Tue, 31 Oct
Leveraging Rugged Machine Vision and AI to Go from Raw Data to Insight and Impact: Examples, Challenges, and Opportunities
  • 15:20 - 15:40
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  • 20 min
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  • Tue, 31 Oct
Maximising Tyre Life: The Role of Real-Time Hazard Detection
  • 15:40 - 16:00
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  • 20 min
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  • Tue, 31 Oct
AI@Scale: The Future for Mining Leaders
  • 16:00 - 16:20
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  • 20 min
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  • Tue, 31 Oct
Mining Keynote Interview: The Emerging Role of Vanadium in Energy Transition and Long Duration Energy Storage
  • 16:20 - 17:20
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  • 60 min
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  • Tue, 31 Oct
Industry Panel Discussion: Key Learnings from the Most Recent Applications of AI and Data Analytics in Mining
  • 11:00
  • Wed, 01 Nov
  • 11:00 - 12:00 AEDT
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  • 60 min
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  • Wed, 01 Nov
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  • Global Opportunities 1
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  • Global Opportunities Theatre A

Invest in Canada: A Land of Opportunities for Exploration, Mining and METS Companies

  • 11:00 - 11:05
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  • 5 min
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  • Wed, 01 Nov
Opening Remarks
  • 11:05 - 11:25
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  • 20 min
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  • Wed, 01 Nov
The Canadian Advantage
  • 11:25 - 12:00
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  • 35 min
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  • Wed, 01 Nov
Panel Discussion: Value Chain Opportunities in Canada: Focus on Mid-Stream Processing