Decoding AI Decisions: The Importance of Interpretability in AI Models | Dmitry Lesnik, Stratyfy

In this episode of the Tesoro AI podcast, host Darius Gant welcomes Dmitri Lesnik, Co-founder of Stratyfy, to discuss the evolving landscape of artificial intelligence. Dmitry delves into his background in physics and AI, having developed influential algorithms since his PhD studies in Germany. He highlights Stratyfy's focus on probabilistic logic and interpretable AI, emphasizing their applications in fraud detection, lending, and healthcare. The conversation also explores the broader implications of AI, including the importance of transparency, the risks of biased and fraudulent activities, and the potential future of AI reaching artificial general intelligence (AGI). Dmitry stresses the need for businesses to adopt cutting-edge AI technologies while remaining conscious of their risks and ethical considerations.   If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development.   Founder Bio:   Dmitry Lesnik, Stratyfy Co-Founder and Chief Data Scientist. Dmitry began working on Stratyfy’s core technology over 10 years ago while working as quantitative analyst, experiencing the inefficiencies and headaches of working with traditional financial modeling techniques. He spent 12 years developing pricing models, hedging strategies, and risk assessment models for trading desks. Here, Dmitry gained significant experience in software development projects—from concept to integration in the firm’s trading systems. He has a deep understanding of financial business concepts, including portfolio management, risk management, pricing theory, and financial markets dynamics. He has obtained a Ph.D. in theoretical physics in Germany. He studied cognitive science and worked on research projects in the interdisciplinary areas of machine learning, mathematical logic and neurophysiology. Dmitry developed algorithms for boosting the performance of rules-based classifiers. After leaving academia, Dmitry worked in Research at Philips Ltd., which was a combination of deep theoretical research and hands-on practical experience.   Time Stamps:   00:36 Dmitry's Background in AI 02:00 The Evolution of AI Algorithms 04:54 Interpretable Algorithms and Their Importance 07:53 Addressing Bias with AI 10:13 Addressing Fraud with AI 14:50 The Role of AI in Business Growth 20:04 The Future of AI Agents and Ethical Considerations 24:52 Understanding AGI and Its Implications 30:11 Stratyfy's Approach to AI Solutions 35:01 Risks and Responsibilities in AI Development 39:50 Conclusion and Future Outlook   Resources: Follow Darius Gant: LinkedIn - https://www.linkedin.com/in/m-darius-gant-cpa-44650aa/ Company Website - www.tesoroai.com   Subscribe on Spotify: https://open.spotify.com/show/4uDVNgsK3iNeu7yU4Inu2n   Subscribe on Apple Podcast: https://podcasts.apple.com/ae/podcast/the-darius-gant-show/id1527996104   Company website: https://stratyfy.com/ LinkedIn: https://www.linkedin.com/company/stratyfy/