Back to Fractional Podcast
Bernard Leong
AI GTM and change management for enterprises
Dr Bernard Leong is currently the founder and CEO of Dorje AI, an enterprise AI startup focusing on building the next generation business operating system that enables companies to be productive, efficient, and adaptive.
He held regional business roles as the Head of Artificial Intelligence & Machine Learning in Amazon Web Services for ASEAN, Vice President of Airbus Aerial specifically on satellite and drone services in the Asia Pacific, and senior management roles in Singapore Post as the Head of Digital Services and Group Chief Information & Digital Office in Woh Hup.
He's also connector to the Southeast Asia entrepreneurial ecosystem as an entrepreneur in residence at INSEAD Business School.
Bernard is the founder and host of the Analyse Asia podcast, and is an active angel investor in web3 and AI startups. He holds a BSc in Science with Merit in National University of Singapore, and PhD in Physics from Cambridge University and has developed machine learning algorithms to search for mRNA targets in the Wellcome Trust Sanger Institute from 2003-2005.
In this episode
In this episode, we talk about leading the AI/ML business in AWS, AI GTM for AI consultants, creating a financial ERP startup, why change management is critical to land the biggest enterprises, and a lot more:
๐น Machine learning for the Human Genome Project
๐น Interacting with Apple designers
๐น Winning 2 Global Poster Awards
๐น Product management at scale
๐น Digital transformations and 3 year plans
๐น ERPs and data silos
๐น The biggest lynchpin of AI adoption: data readiness
๐น Doing AI GTM for every major company in Southeast Asia
๐น Why only 10% of companies are ready for AI
๐น Financial accounting software for the mid market enterprises
๐น Creating hockey stick growth with AI
๐น Why GTM is the biggest challenge for all the AI builders in the market
๐น Productivity gains with an AI-first company
๐น Resource allocation for founders
๐น Using LLMs and agentic workflows
Outline & Transcript