Assembling the Industrial Data Fabrics Foundations for IT/OT/ET Convergence and Industrial AI at Scale
In this dedicated session, Colin Masson will provide a comprehensive exploration of Industrial Data Fabrics (IDF), emphasizing their role as the "essential foundation and prerequisite for the scaled adoption of Industrial AI". Based on ARC Advisory Group's extensive research, industrial leaders will articulate their pragmatic strategies for creating robust, hybrid data fabrics tailored to their specific need. The session will uncover how organizations are holistically unifying historically separate Information Technology (IT), Operational Technology (OT), and Engineering Technology (ET) domains with data science to overcome data complexity and quality challenges. Attendees will gain insights into strategic Industrial Data Fabric Archetypes for implementation, and the critical importance of automated contextualization, data quality, and hybrid edge-to-cloud architectures in preparing data for high-value AI applications. We will also examine how ARC's methodology is being applied to guide strategic architectural and investment decisions, effectively moving companies from digital pilots to enterprise-wide Industrial AI programs.