Nauman has been a hands-on technologist and leader with Data and AI implementations for 20+ years. He was among the first people to build AI based risk and fraud models in 2008 for his banking clients. That led to a startup and successful exit with a SaaS based Fraud Detection Service using advanced data analytics and AI models in 2015. Since then, he has been working with executives to help build scalable AI capabilities around processes, tools and technologies, roles and responsibilities for both internal process efficiency use cases as well as revenue and product centric implementations. Nauman has a very well-rounded AI experience with real world implementations in Credit Risk and Fraud models, 10+ million devices based IoT operation, computer vision based implementations in safety and worker protection as well as digital merchandising and extensive experience in Natural Language processing and Conversational AI with his current engagement at Impel.ai. Nauman brings a wealth of hands-on experience with data and AI challenges and has built a reputation for business operations transformation using Data and AI. His original training was in the Data Architecture and Business Intelligence space before venturing into Artificial Intelligence. That combination gives him a unique perspective in using data to improve models. His current interest is in creating Objective Driven conversations where Reinforcement Learning concepts are combined with Large Language Models to build more focused conversational chatbots Nauman built his first decision support system in 1997, first billion row table in 1999, first Predictive Model in 2008 and first large foundation model in 2020. He continues to invest in start-ups and advises founders and executives on AI possibilities, risks and value propositions. He lives in Maryland with his family that includes a recent addition of 2 cats.

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