The Story of AI Transformation at BMO
What do you think of when thinking about innovation, particularly around AI? Probably an interesting software startup, but why not big established companies? If you don’t think of them you might be missing an opportunity to understand innovation at scale, with complex technical and organizational issues as well. Peter Poon and Yevgeniy Vahlis are our guests on this episode of the Georgian Impact Podcast. Peter is the head of Canadian Digital Product Management Capabilities and Innovation at BMO. Yevgeniy is the founder and head of BMO AI Labs and they will show you how a large enterprise can find that sweet spot between creating a small team of experts and building enthusiasm for emerging technology across an entire company.You’ll Hear About:Establishing a team to drive AI across the enterprise.The challenges in figuring out how to apply AI to the vast amounts of data at BMO. Finding a basic use case that impacts many customers, alerting them to cash flow shortfalls. How they provide a nudge to change consumer behavior using a very simple interface with complex deep learning behind it.The need to set up privacy measures from the very beginning to clear a path for you to do great work. The overwhelmingly positive feedback and customer engagement to the recommendations. Other use cases across BMO and the other teams desire to get on the AI train.
The Georgian Impact Podcast | AI, ML & More · Georgian
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Show Notes
What do you think of when thinking about innovation, particularly around AI? Probably an interesting software startup, but why not big established companies? If you don’t think of them you might be missing an opportunity to understand innovation at scale, with complex technical and organizational issues as well.
Peter Poon and Yevgeniy Vahlis are our guests on this episode of the Georgian Impact Podcast. Peter is the head of Canadian Digital Product Management Capabilities and Innovation at BMO. Yevgeniy is the founder and head of BMO AI Labs and they will show you how a large enterprise can find that sweet spot between creating a small team of experts and building enthusiasm for emerging technology across an entire company.
You’ll Hear About:
- Establishing a team to drive AI across the enterprise.
- The challenges in figuring out how to apply AI to the vast amounts of data at BMO.
- Finding a basic use case that impacts many customers, alerting them to cash flow shortfalls.
- How they provide a nudge to change consumer behavior using a very simple interface with complex deep learning behind it.
- The need to set up privacy measures from the very beginning to clear a path for you to do great work.
- The overwhelmingly positive feedback and customer engagement to the recommendations.
- Other use cases across BMO and the other teams desire to get on the AI train.