RETHINK DATA / Building the Digital Brain for the Organization
October 14 and 15, 2021
Most incumbent organizations have tremendous opportunity to drive greater operating efficiency, improved customer outcomes, and long-term competitive advantage through the use of data-driven artificial intelligence and machine learning in their core products and services.
Many organizations are facing challenges with the ability to demonstrate value from their AI/ML initiatives. Typically, this is not a result of lack of vision, potential use cases, or even prototypes; instead, it usually arises from the inability to consistently deploy and maintain at-scale solutions in mission-critical production environments. The root cause of these challenges rarely arise from the much-publicized lack of data scientists or difficulty in algorithmic development. Rather, data and application infrastructure, process, talent, and organizational alignment often present the most daunting bottlenecks.
In 2019, Fortune Magazine surveyed 2,500 executives and found that 70% of the firms have not realized any
business value out of their significant AI investments.
The goal of this conference is to provide the architecture and design the digital brain for every organization that can bring awareness, consciousness and advanced intelligence necessary to lead in the Digital Age.
Dr. Erik Brynjolfsson
Dr. Tom Davenport
Dr. Barbara E. Kahn
Wharton School of Business
Dr. Avi Goldfarb
University of Toronto
The Kroger Company
(Former) GE Digital
The Digital Transformation Flywheel: DATA
In this session, learn how leaders are identifying and accessing the best options for data-driven AI and ML in their core products and services; How acceleration of strategic decision making is facilitated through alignment of digital transformation processes and roadmaps; How emerging technologies, new applications and data management techniques are being used to successfully address, transform and mitigate the challenges of maintaining, upgrading and enhancing mission critical production environments; and more.