The Future of Data Science and Analytics Work

Chris is Professor of Linguistics and, by courtesy, of Computer Science at Stanford University, where he also directs the Center for the Study of Language and Information. His research combines linguistics, cognitive science, and machine learning to model how meaning is constructed and interpreted in context. Recent work investigates large language model programs, prompt optimisation, and the Rational Speech Acts model of pragmatic reasoning. He is also a faculty affiliate at Stanford HAI.

Rohan co-founded Sphinx to solve one of AI's hardest problems: reasoning reliably over structured data. At Sphinx, he leads development of AI copilots that automate the analytical work of data scientists—turning raw datasets into critical insights at the speed and depth of a human quant. Previously, he spent seven years at Citadel as head of AI development for the data strategies group. He holds an M.Eng. in AI from MIT.

Tanushree leads Accenture's Human Potential Applied Intelligence practice globally, helping Fortune 100 companies harness AI for talent strategy, change management, and workforce transformation. She brings over 16 years of experience applying predictive analytics, machine learning, and AI to large-scale business transformation. Her work sits at the intersection of organisational strategy and emerging technology, guiding leaders as they navigate the future of work.