"AI: From Experimentation to Industrialisation" - Powered by DBS Bank
The presentation detailed DBS Bank’s journey of adopting AI, from initial experimentation with IBM's Watson to creating their own comprehensive AI ecosystem.
Early AI Efforts: Early AI projects including partnership with IBM's Watson that didn't yield desired results.
Collaboration with A*STAR: Partnership with Singapore’s A*STAR which provided DBS with 10 data scientists, enabling learning from various use cases.
Experimentation and Learning: Continued experiments with startups like Kasisto helped DBS refine their AI applications.
AI Model Deployment: Development of thousands of AI models used across different departments (e.g., customer service, risk management, HR).
Gen AI Integration: Exploration of Generative AI (Gen AI) capabilities for various vertical and horizontal use cases including customer service, operations, and coding.
Impact Metrics: Significant metric outcomes, showcasing economic benefits from AI investments; plans to further enhance these metrics.
Future Vision: Gen AI will transform DBS's business operating models, enhancing productivity, expertise, and personalisation.
The bank's Gen AI initiatives showcase its ongoing commitment to leveraging new technologies.
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Speaker:
- Lim Him Chuan, Head, Group Strategy, Transformation, Analytics and Research (GSTAR), DBS Bank