Subhojit Ghosh is a seasoned technology consultant with nearly 18 years of experience specializing in the intersection of artificial intelligence, machine learning, and data science within the Property & Casualty Insurance sector. Currently serving as a Senior Manager at Ernst & Young LLP, Subhojit has led numerous high-profile projects that leverage advanced technologies to drive innovation and enhance operational efficiency.
His expertise encompasses large-scale technology transformation, innovative insurance products, and the implementation of cloud and DevOps practices. Subhojit is adept at integrating AI and machine learning solutions to automate processes, improve risk assessment, and deliver personalized customer experiences. His commitment to data-driven decision-making has significantly contributed to the success of various initiatives, resulting in enhanced customer satisfaction and substantial revenue growth.
A Fellow Member of the IETE and a Senior Member of IEEE, Subhojit is dedicated to advancing knowledge and fostering collaboration within the scientific and engineering communities. He has actively participated as a keynote speaker and peer reviewer for scholarly articles, sharing his insights and expertise with fellow researchers and professionals.
Subhojit is passionate about sustainable insurance solutions and is committed to mentoring the next generation of professionals in the industry. His focus on customer-centric innovation and agile methodologies positions him as a thought leader in the field, making him a valuable contributor to discussions on the future of machine learning, artificial intelligence, and data science.
At the International Conference on Machine Learning, Artificial Intelligence, and Data Science, Subhojit will share his insights on the transformative potential of AI and machine learning in the insurance industry, highlighting practical applications and innovative strategies that can drive meaningful change.