E50: Is the Hardest Part of AI… Still AI?

In this conversation, Dr. Marian Siwiak and Artur Guja discuss the challenges and opportunities of implementing AI in the finance sector with Neil Lathia from Gradient Labs. They explore the complexities of building AI solutions in regulated environments, the importance of understanding customer vulnerability, and the role of empathy in AI interactions. The discussion also touches on the evolving nature of AI development teams and the implications of AI on employment and business operations.

Takeaways

- AI is still relatively new in many financial environments.

- Building confidence with stakeholders is crucial for AI adoption.

- Understanding customer vulnerability is essential for effective AI support.

- Empathy in AI involves understanding before providing solutions.

- The future of AI may involve less operational overhead and more efficiency.

- AI's impact on employment is significant, especially in customer-facing roles.

- AI can mimic empathy but lacks true emotional understanding.

- The roles within AI development teams are evolving and collapsing together.

- There is a reluctance to adopt AI due to fear of potential failures.

- AI's ability to navigate complex customer interactions is still limited.

Relevant links:

Gradient labs: https://gradient-labs.ai/

Neal's Github page: https://nlathia.github.io/

Neal's Medium page: https://neal-lathia.medium.com/