Banking
As artificial intelligence continues to revolutionize industries, the conversation around Responsible AI has never been more critical. At its core, Responsible AI ensures that systems are designed, developed, and deployed in ways that are ethical, transparent, and aligned with societal values. From addressing bias to ensuring fairness and accountability, the framework of Responsible AI safeguards the delicate balance between innovation and trust. In a rapidly evolving landscape, businesses and individuals must navigate these challenges to create AI systems that are not just powerful but also principled.
This episode features Deepak Dube, a distinguished voice in the AI industry and a proponent of Responsible AI. Deepak is the founder and CEO of EazyML and Datanomers, where he has pioneered transformative solutions in fraud management and FinTech automation. Among his notable achievements is the creation of a fraud management system that has been deployed across major global telecom operators. Most recently, he led the development of the FinTech Risk Profiler, an intelligent machine-based solution that went from concept to customer deployment in just six months.
Previously, Deepak served as the CTO of IPsoft, where he led the creation of Amelia, a groundbreaking cognitive agent. His extensive experience also includes his tenure as a distinguished member of the technical staff at AT&T Bell Labs and as an adjunct faculty member of computer science at New York University. Deepak holds a Ph.D. in computer science from the Illinois Institute of Technology and brings decades of experience in AI innovation, automation, and strategic development.
