35
Downloads
17
Episodes
Between Data and Risk is for founders who are actually building something. After nearly 50 episodes on data, risk, and business ops with corporate leaders, we shifted focus—because the stories that stuck weren’t about scale. They were about the early days, when everything’s uncertain and nothing works yet. Now we talk to founders making real decisions with limited info, tight time, and no safety net. The problems vary, but the terrain is shared: shipping too early, hiring too safe, trusting your gut and hoping you’re right. Your hosts: Artur Guja, ex-CRO and ex-trader who navigated 2008 with gains. Dr. Marian Siwiak, scientist, data whisperer, author of Data Mesh in Action, and creator of artificial sentience. Together, they wrote Starting Data Analytics with ChatGPT. And they still enjoy what matters most: talking to founders figuring it out as they go. Subscribe if you want to learn what works (and what doesn’t) from people who’ve lived it.
Episodes
6 days ago
6 days ago
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/
Comments (0)
To leave or reply to comments, please download free Podbean or
No Comments
To leave or reply to comments,
please download free Podbean App.