Dr Kim Oosthuizen

Innovation Principal: Customer Transformation Advisor, SAP Australia


As Customer Transformation Advisor, Kim supports customer and partner enablement with Artificial Intelligent innovation opportunities across process and usability to enable improved working practices. Kim is passionate about AI, holding a PhD in the application of AI in business. She has over 20 years of experience spanning South Africa, the United Arab Emirates and Australia, and she held various operations, Centre of Excellence, and technology roles during her career.

Andrew McMullan

Andrew McMullan

Chief Data & Analytics Officer, Commonwealth Bank
Andrew McMullan is an experienced Director of Analytics with a demonstrated history of working in the banking industry. He is skilled in Customer Profitability, Statistical Modeling, Data Warehousing, Yield Management, and Predictive Analytics. Andrew is a strong business development professional with a Ph.D. focused on Statistics from the University of Glasgow.



Dr. Kim Oosthuizen, Innovation Principal: Customer Transformation Advisor at SAP Australia and Andrew McMullan, Chief Data & Analytics Officer at Commonwealth Bank, discussed the importance of AI in enhancing productivity at the MAS 2023. Below are the key takeaways from the session.

  • When applying AI in business, a common mistake is leaving it to IT colleagues to figure out where to apply it, often resulting in non-relevant use cases. This leads to good products that are never used.
  • Leadership understanding and support are critical for an organization to become AI-driven. Commonwealth Bank's CEO's support for AI has been pivotal in their AI journey.
  • CEOs and boards of non-tech companies are often not sufficiently tech-savvy. Education about AI's potential and benefits is crucial for driving innovation.
  • AI is not limited to data scientists; it's embedded in modern technologies like ERP systems. Building AI literacy across the organization is essential to leverage its productivity gains.
  • Both CBA and SAP prioritize ethical AI practices, ensuring transparency, fairness, and the ability to explain AI decisions. They follow rigorous processes and risk assessments to prevent bias and harm.