May

Webinar

Cracking the Code: AI’s Impact on Combating Fraud

Join Kevin Ross, Director of Artificial Intelligence & Data, and Mariette van Niekerk, Director of AI for Risk at Deloitte New Zealand, as they explore how AI is revolutionising fraud prevention.

Understand the distinct contributions of Generative AI and Machine Learning, and
Examine real-world applications through insightful case studies.

Don’t miss this opportunity to learn about AI’s future role in protecting your organisation.

Registration open until Tuesday 27 May. Registration requests submitted beyond this date will be processed on a case-by-case basis.

emerging trends

technology

industry knowledge

Speakers

Kevin Ross

Director (Artificial Intelligence & Data), Deloitte New Zealand

Dr Kevin Ross is a Director of AI and Data at Deloitte New Zealand. With a Ph.D. from Stanford University, Kevin helps organisations leverage cutting-edge technology to extract value from data while fostering trust.

Previously, as CEO of Precision Driven Health and Senior Vice President at Orion Health, he catalysed over 100 collaborations in data science, AI, and data analytics within the healthcare sector. Kevin received the 2020 Prime Minister’s Science Prize as part of New Zealand’s COVID-19 response modelling team Te Pūnaha Matatini.

He is Chair of the Advisory Board for the Institute for Natural, Artificial and Organisational Intelligence, and a former member of the Digital Council of Aotearoa New Zealand.

Mariette van Niekerk

Director (AI for Risk), Deloitte New Zealand

Mariette leads the Deloitte NZ Trustworthy AI practice, specialising in both the use of AI for Risk Management and the management of risk that AI introduces.

As an experienced lead data scientist, Mariette has a proven history of delivering operations research and AI solutions across a variety of industries over the past 15 years. Examples of the work she and her team currently undertake include automated document analysis, AI risk management (e.g. Trustworthy AI roadmap, AI risk assessment, bias detection), AI-driven outlier detection, and predictive modelling.