David Thomson joined ANZ in 2013 and is the Head of Automation for the Bank’s Institutional Banking business. With more than 25 years’ experience in Asia and Australia, David is a strong operation professionally skilled in market operations and middle office, wholesale banking and operational risk.
In his role at ANZ, David leads the strategic automation agenda for the international business comprising more than 20 countries to generate value for customers and improve the employee experience. He is responsible for building and progressing the automation capability to help create a culture of innovation where he provides a strategic view on adoption of new technologies and opportunities in the international operations space.
Prior to joining ANZ in 2013, David worked for Standard Chartered, UBS and Deutsche Bank primarily in global leadership positions within the Global Markets support areas of Middle Office and Operations. He has worked in Sydney, Hong Kong and Singapore, and has extensive experience in setting up and managing operational units globally, including the principal financial centres of London, Singapore and New York and ‘hub operations locations’ in India, China, Philippines and Central-Western Africa.
Academically accomplished with a Said Business School executive program at the University of Oxford, a MBA diploma from the Australian Graduate School of Management (University of New South Wales) and a Bachelor of Arts degree majoring in Politics and Chinese (Macquarie University), David also possesses an in-depth appreciation of the cultural nuances of working with a multi-national operations group.
David lives in Singapore with his family and a board member of DDRS, edits a magazine and is a past President of the Vintage Car Register in Malaysia and Singapore.
Think of agentic AI as a digital assistant on steroids. Instead of just answering your questions or performing simple tasks, it can take initiative, solve complex problems, and adapt its approach based on changing circumstances.
At its core, agentic AI refers to artificial intelligence systems that possess a degree of autonomy and can act on their own to achieve specific goals. Unlike traditional AI models that simply respond to prompts or execute predefined tasks, agentic AI can make decisions, plan actions, and even learn from its experiences – all in pursuit of objectives set by its human creators.
· How do you think can we harnessing agentic AI's full potential and strike the right balance between autonomy and human oversight?
· What thoughtful steps do you think need to be taken when developing these systems so that we create AI agents that augment human capabilities rather than replace them?
· How do you think agentic AI systems can aid back-office operational process efficiency to support the end goal of customer enhancement?
· What robust guardrails do you think will be essential to protect your customer against misuse or data breaches?