Overview

Artificial Intelligence (AI) is indispensable for advancing Total Quality Management (TQM), Continuous Improvement (CI), and Process Safety Management (PSM) in mining and mineral processing operations. This discussion will delve into how AI’s data-driven TQM decision-making can lead to enhanced automation, superior quality control, and improved predictive maintenance practices, all aimed at significantly boosting product quality and operational efficiency.
We will also explore AI’s role in optimizing processes, providing predictive analytics, supporting employee training, and tracking performance metrics to foster a culture of continuous improvement. Lastly, we will highlight how integrating AI in TQM and CI ensures robust PSM through predictive analytics, real-time monitoring, risk assessment, and cost-saving measures to prevent accidents and uphold safety standards.

Speaker

Liz Hallifax, Lecturer for Governance Institute on Corporation Law, Cyber and Risk Control Framework. MIT Sloan Business School, executive MBA resident in Boston majored in ESG governance, leading edge supply chain platforms and digital transformation

Liz is Chartered Engineer and MIT Sloan Alumni. She is a Fellow Governance Institute of Australia and member of the Victoria State Council, and has over 25 Years in Corporate Risk Control and Governance framework in Global Operational capacity and Australia, accountability across Responsible AI, ESG, EHS and Supply chain Operational risk. Masters in Chemical Engineering for BHP, enhancing copper extraction from heap leaching through biomineral processing.
Experience strategic governance in quality assurance, Asset Health, Operational risk and engineering within BP, Exxon, Sasol, BHP and Unilever in UK, Australia, middle east and South Africa. Led multi-billion dollar offshore retrofit projects, Independent Risk Authority accountable for managing risk of $12B Asia Pacific LNG project. Act as deputy to company secretary governing operational risk. Built from the ground up a Global transformational Operational risk strategy for global FMCG over 190 countries. Built diverse 250 Technically Strong Engineering talent across 45 countries managing diverse risk portfolio across 5 business units.

Delivered global digital transformation for Unilever integrating responsible AI and digital twins, enabling frontline operations make sustainable, safe and reliable decisions (human in the loop). ISO EC JSA 42 standards committee – Artificial Intelligence and Trustworthiness. Australian representative as operating partner in ISO 42 committee developing standards for the responsible use of Artificial Intelligence. My role simplification of Explainable of AI for high risk/compliance industry.

Thought leader and invited Chair and plenary speaker at Asia pacific and National conference on AI and digital transformation, Chair 2023 Tech in Government Summit. Leader in building global technical talent in diverse cultures. Balanced thought leader Corporate HSE(Health, Safety and Environment), Risk Major hazards, decarbonisation and challenges of scope 1, 2 and 3 analytics. Entrusted by global companies with governance. Passion for advancing Chemical Engineers capability and competencies in industry 4.0, advanced analytics to work alongside data scientist to solving world challenging problems. Proud recipient of Innovation award for Sustainability in Mining Operations as a young engineer in early 2000 awarded by South African Institute of Chemical Engineers.

Time

08:00 - 09:00 GMT.

Software

The presentation will be delivered via Microsoft Teams. We recommend downloading the app from the Microsoft website, rather than using the web portal.