Advancing State-of-the-Art Science and AI in Financial Services

Overview

Discover Capital One's approach to scaling generative AI in enterprise environments, focusing on cross-functional collaboration, production-ready tools, and cutting-edge research applications.

Syllabus

• Introduction to Generative AI in Financial Services
Overview of Generative AI Technologies
Importance of AI in Financial Services
Capital One's AI Strategy and Vision
• Cross-Functional Collaboration in AI Projects
Building Effective AI Teams
Roles and Responsibilities in AI Development
Case Study: Successful Cross-Functional AI Initiatives
• Scaling AI in Enterprise Environments
Infrastructure and Tooling for AI at Scale
Best Practices for Deploying AI Solutions
Overcoming Challenges in Scaling AI Systems
• Production-Ready AI Tools and Frameworks
Overview of AI Tools Used by Capital One
Selecting the Right Tool for the Right Job
Implementing Production-Ready AI Models
• Cutting-Edge Research and Its Applications
Latest Trends and Innovations in AI Research
Applying Research Insights to Financial Services
Case Study: Research-Driven AI Solutions in Capital One
• Ethical and Regulatory Considerations in AI
Understanding Ethical Implications of AI Use
Navigating Regulatory Requirements
Ensuring Compliance in AI Deployment
• Future of AI in Financial Services
Emerging Technologies and Their Potential Impact
Strategic Planning for Future AI Integration
Capital One’s Vision for the Future of AI in Finance
• Course Conclusion and Wrap-up
Recap of Key Learnings
Resources for Further Study
Q&A and Networking Opportunities

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Subjects

Data Science