CEO and Founder
H2O.ai
Sri Ambati is the founder and CEO of H2O.ai. A product visionary who has assembled world-class teams throughout his career, Sri founded H2O.ai in 2012 with a mission to democratize Al for anyone, anywhere, creating a movement of the world's top data scientists, physicists, academics and technologists at more than 20,000 organizations worldwide. Sri also regularly partners with global business leaders to fund Al projects designed to solve compelling business, environmental and societal challenges.
Most recently, Sri led the initiative o2forindia.org, sourcing O2 concentrators for more than 200 public health organizations in Tier 2 cities and rural communities in India during the Delta wave of the COVID-19 pandemic, helping to save thousands of lives. His strong "Al for Good" ethos for the responsible and fair use of Al to make the world a better place drives H2O.ai's business model and corporate direction.
A sought-after speaker and thought-leader, Sri has presented at industry events including Ai4, Money2020, Red Hat Summit and more, is a frequent university guest speaker, and has been featured in publications including The Wall Street Journal, CNBC, IDG and the World Economic Forum and has been named a Datanami Person to Watch.
Before founding H2O.ai, Sri co-founded Platfora, a big data analytics company (acquired by Workday) and was director of engineering at DataStax and Azul Systems. His academic background includes sabbaticals focused on Theoretical Neuroscience at Stanford University and U.C. Berkeley, and he holds a master's degree in Math and Computer Science from the University of Memphis. Sri is inspired by his two daughters and genius wife.
The future of agentic AI in banking and financial services is projected to have an enormous impact on the industry. In early days, understanding the potential roles of agentic AI and identifying use cases with the highest impact are critical to creating a successful strategic playbook and implementation. Whether it’s personalized wealth management, customer service automation, credit and lending decisions, or fraud detection, it’s imperative to understand the business value and return on investment (i.e., the reduction in cost-to-serve or an increase revenue through hyper-personalization). The roundtable will discuss the early use cases with the greatest promise and what key performance indicators are being used to measure successful agentic AI initiatives.