In this conversation, Jakub shares his insights on the evolution of AI in finance, emphasizing the importance of specialized AI agents and the need for a robust infrastructure. He discusses his transition from corporate life to entrepreneurship, highlighting the challenges and rewards of building a startup. Jakub also offers practical advice on team dynamics, customer acquisition, and learning AI, stressing the significance of being customer-obsessed and the need for continuous learning and adaptation in the fast-paced tech landscape.

Episode # 160

He has over 23 years of experience in IT and finance, excelling in regional leadership roles at Oracle, Microsoft, France Telecom, T-Mobile, and in hedge funds. He combines a strong scientific background from the University of Warsaw and CERN with deep tech expertise. As an entrepreneur, he has successfully launched, scaled, and exited ventures in AI/ML, MLOps, NLP, and e-commerce.

• Website: Quant Journey
• Youtube: Quant Journey

What Listeners Will Learn:

• AI in finance requires specialized agents for better results.
• Building a business around AI is more about organization than technology.
• Startup teams should balance experience with passion.
• Customer obsession is key to success in any business.
• Bootstrapping can lead to faster product development.
• Learning AI should be practical and application-focused.
• Engaging with the community can enhance learning.
• AI can automate many tasks traditionally done by humans.
• Effective leadership inspires and empowers teams.
• The landscape of technology is rapidly changing, making it easier to innovate.

• Quant Journey