Come share your experiences, stories, questions, and what you have learned in a safe, non-commercial environment. We seek to understand the state-of-the market, understand what companies have done that has or has not worked, documenting questions that MESA and the community can help answer. Overall, the goal is to accelerate each participant’s learning and progress toward Smart Manufacturing.
Topic: Readiness / Data Maturity Process required for building a successful long-term DT models
The development of successful long-term Digital Twin (DT) models necessitates a robust readiness and data maturity process. This process involves ensuring that an organization possesses the necessary infrastructure, data quality, and governance frameworks to support the creation and continuous improvement of DT models. Key aspects include the assessment of data readiness, the establishment of data management practices, and the alignment of organizational objectives with technological capabilities. Data maturity is essential for DT models, highlighting the importance of strategic planning, data integration, and iterative refinement. Today’s topic will allow us to:
Learn from each other as we discuss:
Agenda:
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