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The use of artificial intelligence (AI) in financial services has the potential to drive significant improvements in performance, efficiency and decisions making. However, the full benefits of AI are often limited to a small group of technical experts, who have the specialized knowledge and skills required to develop and deploy complex AI models. This can create a trust issue with black-box models, which lack transparency and interpretability. In this talk, we will explore the concept of democratizing AI in regulated financial services, and how this can enable business professionals to harness the power of AI to drive better outcomes. We will discuss the unique aspects of financial services companies and how tools and technologies such as low-code platforms and explainable AI can enable business professionals within these companies to build and deploy AI models without requiring specialized technical skills, while addressing the trust issue associated with black-box models. We will provide examples of how democratizing AI can enable business professionals to gain new insights from data, better address customer expectations and make more informed business decisions. Overall, democratizing AI in regulated financial services has the potential to empower business professionals to drive better outcomes, while addressing the trust issue associated with black-box models. This can help unlock the full potential of AI in the industry.

Speaker

Reuven Shnaps, ph.d.

Chief Analytics Officer, Earnix