In this episode of The Q&AI Podcast, Bob Friday sits down with Shan Palaniappan, SVP of Infrastructure at Sagent Technologies, to delve into the transformative role of artificial intelligence in financial services. From tackling the complexities of legacy systems to developing fair and transparent AI models, Shan shares insights from his 25+ years of experience in tech, including his journey across startups and his passion for ethical AI implementation.
Key points covered:
AI in financial services: How AI is modernizing an industry traditionally reliant on legacy mainframes
Building a next-gen platform: Sagent’s journey to blend data, models, and compliance for future-ready solutions
Fairness and transparency: Using AI to create unbiased, explainable decision-making processes in loan assessments
Challenges in adoption: The mortgage industry’s gradual shift from human-led processes to AI-driven automation
AI in education: Shan’s vision for AI fostering collaboration and communication in learning environments
Lessons from experience: Shan reflects on his AI journey, from academic beginnings in 1998 to driving innovation today
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Where to find Shan Palaniappan
LinkedIn – https://www.linkedin.com/in/shan-palaniappan/
Where to find Bob Friday
LinkedIn – https://www.linkedin.com/in/bobfriday/
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We hope you enjoyed this episode!
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Chapters
Chapter 1: Introduction 00:00:03:12 – 00:00:25:22
Introduction of Shan Palaniappan and the topic of AI in the mortgage industry
Chapter 2: Shan’s Background 00:00:25:24 – 00:00:54:14
Shan discusses his career background and experience in various startups
Chapter 3: AI in the Mortgage Industry 00:00:54:18 – 00:01:17:04
Discussion on the European definition of AI and its application in the mortgage industry
Chapter 4: Challenges and Approaches 00:01:17:06 – 00:01:37:22
Challenges in applying AI in the mortgage industry and the approach taken by Shan’s team
Chapter 5: Building Teams and Collaboration 00:01:37:24 – 00:01:59:12
The importance of collaboration between domain experts and data science teams
Chapter 6: Ethical AI and Compliance 00:01:59:14 – 00:02:20:10
Ethical considerations and compliance in AI applications
Chapter 7: AI Models and Data 00:02:20:12 – 00:02:40:15
Discussion on the types of AI models used and the importance of large data sets
Chapter 8: Next-Gen Servicing Platform 00:02:40:21 – 00:03:01:21
Building a next-gen servicing platform and reverse engineering mainframe code
Chapter 9: Fairness and Bias in AI 00:03:02:02 – 00:03:22:11
Ensuring fairness and transparency in AI models
Chapter 10: Adoption of AI in the Mortgage Industry 00:03:22:14 – 00:03:44:22
Current adoption rates of AI in the mortgage industry
Chapter 11: Automation and Compliance 00:03:45:01 – 00:04:10:03
Automation in the mortgage industry and compliance challenges
Chapter 12: Shan’s Journey with AI 00:04:10:05 – 00:04:43:15
Shan’s journey with AI and his educational background
Chapter 13: AI in Education 00:04:43:17 – 00:05:09:23
The role of AI in education and its impact
Chapter 14: Closing Remarks 00:05:10:00 – 00:05:39:08
Closing remarks and final thoughts on AI’s impact across various verticals
