The online Advanced Data Analytics and Artificial Intelligence Masterclass are designed for people working in the mining and resources industry to advance their use of data through advanced data analytical tools and explore the impact that AI can have by using predictive models to make our workplaces safer.

Discover how artificial intelligence and data analytics are transforming risk management and critical control monitoring in high-risk industries. This two-day masterclass provides practical insights into how real-time data and AI can be used to verify critical controls, predict failures, and improve workplace safety.

Key Questions Addressed:

• Can critical control verifications be delivered in real time using AI and online data?
• How do I know if my critical control process is working?
• What data is needed to predict critical control failure?
• How can predictive models improve decision-making in safety and risk?
   

Masterclass Agenda

Day 1: Risk Management with AI and Data Analytics

• How data supports better risk assessment
• Identifying patterns in control failures using AI
• From hindsight to real-time insight: advanced analytics tools
   

Day 2: Predictive AI for Safety and Critical Control Assurance

• Developing predictive models for early risk detection
• Making informed decisions using AI insights
• Using data to verify critical and high-consequence control effectiveness

Why Attend?

• Learn how to apply AI and data science to improve safety and reduce risk
• Understand the current limitations and opportunities of AI in workplace applications
• Engage in practical examples and research-backed insights
• Network with peers and thought leaders in high-risk industry sectors

Time Commitment

16 hours over two days.

Certification and Accreditation

Certificate of attendance available upon request

Who Should Attend?

• HSE professionals, risk managers, and operational leaders in mining, energy, infrastructure, and manufacturing
• Data analysts and digital transformation leads in safety-critical environments
• Anyone interested in applying AI and predictive analytics for workplace safety