In this episode of Behind the Growth, host Imran Mian sits down with Zain Abbas, AI and machine-learning expert and Director of Data Science at Sun Life. Zain shares his journey from academia to the financial sector, highlighting key turning points and challenges, such as transitioning from academia to industry and adapting to the Canadian job market. He emphasizes the importance of stepping out of comfort zones and continuous learning.

Zain discusses a notable project involving predictive modeling for financial analyst calls at a bank, where he used NLP and GPT to predict questions. He explains the challenges faced, including data acquisition and labeling, and the innovative methods used to overcome them. Zain also reflects on how advancements like generative AI, have changed the landscape and his own approach to his projects.

Looking ahead, Zain talks about future trends in AI, such as increased automation and edge computing, and advises blending advanced analytics with business acumen. Finally, he shares his leadership philosophy and the significance of mentorship and continuous improvement in his career.

Key Takeaways:
- AI and machine learning drive predictive modeling in finance
- Transitioning from academia to industry requires adaptability
- Leveraging academic knowledge helps thrive in industry settings
- Constantly updating skills is crucial for industry success
- Future trends in AI emphasize automation and interconnectivity

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