The C3.ai Digital Transformation Institute is a research consortium dedicated to accelerating the benefits of artificial intelligence for business, government, and society. The Institute engages the world’s leading scientists to conduct research and train practitioners in the new Science of Digital Transformation, which operates at the intersection of artificial intelligence, machine learning, cloud computing, internet of things, big data analytics, organizational behavior, public policy, and ethics.

C3.ai Digital Transformation Institute

At the heart of C3.ai DTI is a constant flow of new ideas and expertise provided by ongoing research, visiting scholars, and educational programs. This rich ecosystem will help address some of the most complex issues inherent in the digital transformation of society and develop the new Science of Digital Transformation.

C3.ai DTI will focus research on the intersection of artificial intelligence, machine learning, internet of things, big data analytics, public policy, organizational behavior, and ethics. Specifically, C3.ai DTI will support the development of machine learning algorithms, data security, and cybersecurity techniques to address and advance solutions related to predictive analytics, resilient operation under faults and cyber attack, and assured system security.

C3.ai DTI research analyzes new business operation models, develops methods for organizational change management, investigates methods for protecting privacy, and advances dialog related to the ethical implications of AI. Central to the Institute’s research is the development and validation of algorithms and designs that can dramatically affect societal systems, for example, in healthcare, transportation, education, and national security. 

Consortium Members

C3.ai DTI is jointly managed and hosted by the University of California, Berkeley and the University of Illinois at Urbana-Champaign, with two physical headquarters on the campuses of UC Berkeley and UIUC. Scholars will be able to gather at these sites to advance the new Science of Digital Transformation, with access to resources at Lawrence Berkeley National Laboratory and the National Center for Supercomputing Applications.

Additional consortium members include Carnegie Mellon University, Massachusetts Institute of Technology, Princeton University, University of Chicago, and Stanford University.

Governance and Leadership

Advisory Board

The top-level governance for C3.ai DTI is managed through a four-person Advisory Board. The Advisory Board is responsible for final decisions on research directions, approving Calls for Research Proposals, and determining recipients of research awards (based on the input from the Executive Committee). The Advisory Board determines the slate of Visiting Scholars, the appointment of Chief Scientists, and the admission of new Consortium Partners and Industry Partners.

Tom Siebel

Tom Siebel

Chair
Chairman and CEO

C3.ai

Rayadurgam Srikant

R. Srikant

C3.ai DTI Co-Director
Professor of Electrical and Computer Engineering

University of Illinois

S. Shankar Sastry

S. Shankar Sastry

C3.ai DTI Co-Director
Professor of Electrical Engineering and Computer Science

Berkeley

Eric Horvitz

Eric Horvitz

Advisory Board Member
Chief Scientist

Microsoft

Executive Committee

The Advisory Board is assisted by recommendations from the C3.ai DTI Executive Committee. The Executive Committee is co-chaired by the Co-Directors and also includes as members: two Co-Chief Scientists, a representative of C3.ai, one faculty member designated as the “Campus Lead” from each of the Consortium Partners, and one representative of each of the Industry Partners.

The Executive Committee is responsible for procuring unbiased reviews of proposals, making recommendations for recipients of research grants, recommending allocation of financial and computing support, recommending new areas for Calls for Research Proposals, providing oversight of ongoing research projects, and developing a slate of Visiting Scholars.

Rayadurgam Srikant

R. Srikant

C3.ai DTI Co-Director
Professor of Electrical and Computer Engineering

University of Illinois

S. Shankar Sastry

S. Shankar Sastry

C3.ai DTI Co-Director
Professor of Electrical Engineering and Computer Science

Berkeley

Costas Spanos

Costas Spanos

C3.ai DTI Chief Scientist
Professor of Electrical Engineering and Computer Sciences

Berkeley

Tandy Warnow

Tandy Warnow

C3.ai DTI Chief Scientist
Professor, Department of Computer Science

University of Illinois

Vincent Poor

Vincent Poor

Campus Lead
Dean of the School of Engineering and Applied Science

University of Illinois

Asu Ozdaglar

Asu Ozdaglar

Campus Lead
Department Head, Electrical Engineering and Computer Science

MIT

Michael Franklin

Michael Franklin

Campus Lead
Liew Family Chairman of Computer Science

University of Chicago

William Sanders

William Sanders

Campus Lead
Dean of the College of Engineering

Carnegie Mellon University

Chris Manning

Campus Lead
Thomas M. Siebel Professor of Machine Learning

Funding Support

To support Digital Transformation Institute research, C3.ai and Microsoft are contributing $367 million in grants and use of the C3 AI Suite and Microsoft Azure computing, storage, and technical resources.