Elsa Jordaan is a data science leader with more than 20 years of experience delivering advanced analytics and data-driven solutions across the resources, energy, finance and insurance sectors. Throughout her career, she has led high-performing data science teams, published extensively on data science practice, and applied analytics to complex business challenges for organisations including Woodside Energy, Dow Chemical, Commonwealth Bank and IAG.
Passionate about developing the next generation of data scientists, Elsa is a strong advocate for practical capability building and creating learning pathways that help professionals bridge the gap between technical expertise and real-world impact.
Presentation Title
AI & Data Visualisation in Processing Plants
The processing industry is being flooded with AI tools, dashboards, digital twins and “smart” analytics, all promising better recovery, higher throughput and faster decisions. But separating genuine value from noise is becoming harder, not easier. This practical, operations-focused panel discussion will explore the real world application of AI and data visualisation in mineral processing plants, with a focus on flotation, gold recovery, comminution and plant optimisation.
Bringing together operators, metallurgists, technology vendors, OT and data specialists, the session will examine what actually works on site, what doesn’t, and why. Topics will include implementation pitfalls, operator adoption, data governance, trust in AI recommendations, and the gap between proof of concept and sustainable operational value. The 1 hour session will feature brief presentations from each panellist, followed by an extended 45 minute moderated discussion and audience Q&A. Deliberately centred on plant level reality and metallurgical decision-making rather than theory, exploration or corporate reporting, the session aims to provide practical insights for processing professionals navigating the rapidly evolving digital landscape.
