Objectives to cover:

1. Introduction: The Role of AI in Modern Banking
2. AI in Banking: Key Trends and Innovations
3. Scaling AI in Banking: Challenges and Opportunities
4. Impactful AI Use Cases in the Banking Sector
5. Strategies for Successful AI Implementation
6. The Importance of Scalability in AI Initiatives
7. Ensuring Sustainable AI Transformation in Banking
8. Overcoming Barriers to AI Adoption in Banking
9. The Role of Data and Analytics in AI-Driven Transformation
10. Future Prospects: AI’s Long-Term Impact on Banking
11. Conclusion: Driving Growth and Efficiency through Scalable AI

Reference:  MLA style