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Advancing AI in Finance
We are architects, engineers, scientists and product experts on a mission to revolutionize finance through world-class AI research, solutions and a resilient data platform.
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The 2024-2025 RBC Borealis Fellows: Driving the Future of AI
The 2024-2025 RBC Borealis Fellows: Driving the Future of AI
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RBC ranks #1 in Canada and #3 globally for AI maturity in financial services for fourth straight year
RBC ranks #1 in Canada and #3 globally for AI maturity in financial services for fourth straight year
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RBC retains top spot, TD stumbles as AI race in banking intensifies
RBC retains top spot, TD stumbles as AI race in banking intensifies
- RBC’s proprietary AI foundation model for financial services aims to enhance personalized client experience
- RBC and RBC Borealis join FinTechAI@CSAIL to advance the future of AI innovation
- Tech Transformation In Banking: From A One Time Event To A Way Of Life
- Big businesses are creating their own tests to find the best AI models
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RBC Borealis at ICML 2025: Advancing AI Research, Community and Collaboration
RBC Borealis at ICML 2025: Advancing AI Research, Community and Collaboration
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How young innovators are using AI for social good
How young innovators are using AI for social good
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RBC Borealis Champions Inclusion and Responsible AI at CVPR 2025, in Partnership with WiCV and Latin X in AI
RBC Borealis Champions Inclusion and Responsible AI at CVPR 2025, in Partnership with WiCV and Latin X in AI
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Vancouver Tech Hub helps to drive RBC’s global AI ambitions
Vancouver Tech Hub helps to drive RBC’s global AI ambitions
- RBC’s plans to marry large language and transaction models
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RBC and Cohere partner to develop the next generation of highly secure generative AI solutions for financial services
RBC and Cohere partner to develop the next generation of highly secure generative AI solutions for financial services
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RBC partners with Cohere on AI financial platform
RBC partners with Cohere on AI financial platform
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Unlocking Data Transforms Insights Into Impact
Unlocking Data Transforms Insights Into Impact
- RBC maintains strong AI leadership position in financial services
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RBC partners with Cohere to develop AI platform for bank employees
RBC partners with Cohere to develop AI platform for bank employees
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Cohere launches AI agent-builder system for businesses, starting with RBC
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Unveiling RBC Borealis: Driving innovation in AI & data
Unveiling RBC Borealis: Driving innovation in AI & data
- Evident AI Index 2024
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AI & Big Data: Empowering Tomorrow
AI & Big Data: Empowering Tomorrow
- RBC Fellows: Recognizing and Supporting Tech Leadership and Innovation
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Leading in artificial intelligence through education
Leading in artificial intelligence through education
- University students learn how to harness the power of AI for social good
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How one bank is pioneering responsible AI-powered innovations for financial services
How one bank is pioneering responsible AI-powered innovations for financial services
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Supporting Emerging Tech Talent: RBC Borealis at the DLRL Summer School
Supporting Emerging Tech Talent: RBC Borealis at the DLRL Summer School
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RBC Borealis at ICLR 2024
RBC Borealis at ICLR 2024
- Cents and sensibility: Why AI and LLMs are powerful fintech tools
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Generative AI: Business applications of the future
Generative AI: Business applications of the future
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Real Talk: How Generative AI Could Close Canada’s Productivity Gap and Reshape the Workplace—Lessons From the Innovation Economy
Real Talk: How Generative AI Could Close Canada’s Productivity Gap and Reshape the Workplace—Lessons From the Innovation Economy
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Remarkable 2024 spotlights Canada’s flourishing ecosystem
Remarkable 2024 spotlights Canada’s flourishing ecosystem
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Generative AI: Balancing Potential and Responsibility
Generative AI: Balancing Potential and Responsibility
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RBC leads the way for AI Innovation in finance in new ranking index
RBC leads the way for AI Innovation in finance in new ranking index
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RBC Wins Best Use of AI for Customer Experience for NOMI Forecast
RBC Wins Best Use of AI for Customer Experience for NOMI Forecast
- RBC Capital Markets announces the launch of Aiden® Arrival, the second algorithm on the Aiden® platform
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RESPECT AI: Building AI ethics into the business with Giovanni Leoni of Credo AI
RESPECT AI: Building AI ethics into the business with Giovanni Leoni of Credo AI
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The RBC Borealis 2022-2023 Fellowships: Fostering Next-Generation Research Talent
The RBC Borealis 2022-2023 Fellowships: Fostering Next-Generation Research Talent
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RESPECT AI: Making machines think more like humans with Prof. Yoshua Bengio
RESPECT AI: Making machines think more like humans with Prof. Yoshua Bengio
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2022 Report: Canadian businesses’ use of AI
2022 Report: Canadian businesses’ use of AI
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Field Guide to Machine Learning Product Development: What Product Managers Need to Know
Field Guide to Machine Learning Product Development: What Product Managers Need to Know
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How to use Great Expectations to Validate Delta Tables
How to use Great Expectations to Validate Delta Tables
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A Day in the Life of a Product Manager – RBC Borealis
A Day in the Life of a Product Manager – RBC Borealis
Lumina ⚡️
Powering AI innovation and insights at scale
Lumina is RBC’s internal enterprise data and AI platform, purpose-built to drive innovation at scale. Designed for use by engineers, data scientists, and business analysts, it is a key enabler in the development of leading-edge AI models while ensuring the safety, responsibility and resilience that are at the core of RBC’s approach to AI.
Blog
Numerical methods for ODEs
Blog
Detecting Mule Account Fraud with Federated Learning
This published case study on Federated Learning is a direct outcome of RBC’s partnership with the Vector Institute, demonstrating how Responsible AI (RAI) principles can be embedded into real-world financial applications.
Blog
Designing Scalable Multi-Tenant Data Pipelines with Dagster’s Declarative Orchestration
This blog will focus on Dagster, a declarative and asset centric orchestration framework that differs from traditional task-based approaches. We discuss how can different projects effectively collaborate within Dagster while minimizing required maintenance?
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Training foundation models up to 10x more efficiently with Memory-Mapped Datasets
Training foundation models up to 10x more efficiently with Memory-Mapped Datasets
T. Badamdorj, and M. Anand.
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Introduction to ODEs
Introduction to ODEs
S. Prince.
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ODEs and SDEs for machine learning
ODEs and SDEs for machine learning
S. Prince.
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Closed-form solutions for ODEs
Closed-form solutions for ODEs
S. Prince.
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A High-level Overview of Large Language Models
A High-level Overview of Large Language Models
W. Zi, L. El Asri, and S. Prince.
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Top 20 Tutorials for Machine Learning (ML)
Top 20 Tutorials for Machine Learning (ML)
S. Prince.
Learning And Generalization; Natural Language Processing; Reinforcement Learning
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Few-Shot Learning & Meta-Learning | Tutorial
Few-Shot Learning & Meta-Learning | Tutorial
W. Zi, L. S. Ghoraie, and S. Prince.
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RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
Y. Gong, G. Mori, and F. Tung. International Conference on Machine Learning (ICML), 2022
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Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate
Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate
*M. Kiarash, H. Zhao, M. Zhai, and F. Tung. The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023
ATOM: Transforming client interactions into personalized solutions
RBC Borealis’ foundation model for financial services. Our researchers aim to build ML models capable of making inferences from asynchronous event sequences. Asynchronous event sequences are ubiquitous in personal banking applications – from various types of transaction data to client interactions with RBC banking services. ATOM is trained using these datasets, providing it with a breadth of knowledge in financial services.
ATOM: Transforming client interactions into personalized solutions
RBC Borealis’ foundation model for financial services. Our researchers aim to build ML models capable of making inferences from asynchronous event sequences. Asynchronous event sequences are ubiquitous in personal banking applications – from various types of transaction data to client interactions with RBC banking services. ATOM is trained using these datasets, providing it with a breadth of knowledge in financial services.
RESPECT AI™
Responsible AI is key to the future of AI technology, science, development, and adoption. Our RESPECT AI platform contributes knowledge, algorithms, programs, and tooling to help build technology that moves society forward.
RESPECT AI™
Responsible AI is key to the future of AI technology, science, development, and adoption. Our RESPECT AI platform contributes knowledge, algorithms, programs, and tooling to help build technology that moves society forward.
ML Research Internships
At RBC Borealis, we are committed to helping advance the next generation of AI experts. Apply your curiosity to a wide variety of theoretical and applied machine learning projects.
Learn moreML Research Internships
At RBC Borealis, we are committed to helping advance the next generation of AI experts. Apply your curiosity to a wide variety of theoretical and applied machine learning projects.
Learn moreCareers
RBC Borealis combines AI research, platform architecture and data engineering to build scalable, resilient solutions for RBC’s clients. Our team impacts millions of lives through scientific advances and brilliant engineering.
Explore open rolesCareers
RBC Borealis combines AI research, platform architecture and data engineering to build scalable, resilient solutions for RBC’s clients. Our team impacts millions of lives through scientific advances and brilliant engineering.
Explore open roles