Date: 31 July – 1 August 2025 
Format: Online 
CPD: 16 hours (certificate of attendance available upon request)

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.

SEE FULL PROGRAM HERE

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

Expert Facilitators

Dr Nikodem Rybak and Nyssa Nair – Leading researchers from the Sustainable Minerals Institute's Minerals Industry Safety and Health Centre (MISHC), The University of Queensland.

Fees and registration

Event attendancePrice (excl. GST)
Online Attendee – Day 1 and Day 2

$300

About Advanced Data Analytics and Artificial Intelligence Masterclass Series

Our industries are changing and advanced data tools are becoming more accessible and available to extract value and information from the growing amounts of data that are being collected.

The Advanced Data Analytics and Artificial Intelligence Masterclass is designed for people working in high risk industries who want to strengthen their use of data, apply advanced analytics techniques, and explore how AI-driven predictive models can improve decision-making and enhance workplace safety. 

Registrations open for the 2026 Masterclass

Date: 8 - 9 October 2026
Format: In-person and Online 
CPD: 16 hours (certificate of attendance available upon request)