Applied AI Trends in APJ and Globally
Session Overview
Some enterprises still think Agentic AI is here only to help employees work faster and cut costs. This talk digs into AI trends across industries to show the change runs much deeper: Agentic AI is the first major technological breakthrough that customers have adopted ahead of enterprises β dramatically increasing customers' ability to self-service and outmaneuver the businesses built to serve them.
As a result, enterprises now face customers who look nothing like the ones their business processes were originally designed for. We'll look at how AI transformation journeys need to change in response β across financial services, e-commerce, and beyond.
Key Takeaways
- How AI adoption by customers, partners, and adversaries is reshaping the economics of financial services, e-commerce, and other industries.
- How leading enterprises are redesigning their AI strategies across business, transformation, and technology.
- How leaders should approach the evolving human-AI interaction.
Speaker
Maxim is a member of the Global Strategic Industries Team at Google Cloud, where he is responsible for the Financial Services Industry across Asia Pacific and Japan. In this role, he co-owns Google Cloud's strategy for the industry and acts as a bridge between Google's engineering innovations and the real world, advising C-levels at major companies across JAPAC on industry trends, transformation, and emerging technologies powered by Applied AI. Before joining Google Cloud, Maxim led large global AI engineering and transformation teams of 200+ people and US$100mn budgets, building and deploying AI solutions, delivering AI adoption strategies, and designing human-AI interactions to unlock business value across industries, both as an employee and as a consultant. Most recently, he served as Managing Director in charge of AI products and transformation across 50+ markets at Standard Chartered Bank. Before relocating to Singapore, Maxim worked at McKinsey & Company, delivering data strategies and AI use cases for clients across Europe, and at the Royal Bank of Scotland in London as a quant derivatives trader. Maxim holds a PhD in Operations, Information and Technology from Stanford Graduate School of Business, and began his career in an AI research lab focused on neural networks and evolutionary algorithms.