How contextualized data and digital twins amplify digitization value
Data is key to digitization, but over 83% of firms experience challenges with using data to deliver insights across the organization.
Lack of data skills and IT/OT separation hinder firms’ digitization progress. This is a reality for 75% of IT and OT decision-makers.
Artificial intelligence and machine learning boost innovation. Digital twin initiatives attempt to combine new techniques from ML with established physics-based modeling and simulation.
Thinking strategically. 88% of Industrial firms have expanded their top priorities to also include strategic initiatives like becoming data-driven.
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How contextualized data and digital twins amplify digitization value
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Speaker
Paul Miller
Principal Analyst, Infrastructure and Operations Professionals
Paul focuses on digital manufacturing and the internet of things (IoT), with research that explores how new technologies challenge established organizations and their business models.