Episode Summary:
In this episode of Better Tech, host Jocelyn Houle dives into transformation in traditional enterprise with Marc-Antoine Auger, AVP of AI Data Governance and Business Architecture at iA Private Wealth. The conversation uncovers how financial institutions can modernize legacy systems by aligning business architecture, AI, and data governance to unlock scalable value. Marc-Antoine explains why successful enterprise transformation depends on understanding core business capabilities, managing technical debt, and enabling cross-functional collaboration between business, technology, and risk teams. He also breaks down the concept of “fit-for-purpose” data quality and sheds light on both the challenges and opportunities of AI adoption in the financial sector. This episode offers actionable insights for leaders navigating complex projects and driving digital transformation in traditional enterprise environments.
Show Notes:
- Marc-Antoine Auger discusses the role of business architecture in modernizing legacy financial institutions for AI and data transformation in traditional enterprise.
- He explains how aligning data governance with business capabilities drives scalable and sustainable change.
- The conversation covers why data quality needs to be fit for purpose depending on the use case, rather than perfect.
- Marc-Antoine highlights the importance of involving cybersecurity, compliance, and operational risk teams early in AI initiatives.
- Practical strategies are shared on managing stakeholder expectations and communicating effectively with leadership during complex transformation projects.
This episode is hosted by Jocelyn Houle, Host, BetterTech
