AI in Engineering Starts with Data: Preparing PLM for Real Intelligence
Join us for our next Customer Enablement Session (CES) and explore why strong data foundations are critical to unlocking the real value of AI within modern engineering and product development environments. In this session, Sassan Khoubyari, Saratech’s Director of PLM & Digital Transformation, will discuss how AI initiatives in engineering organizations often fall short—not because the technology isn’t powerful enough, but because the data feeding it is incomplete, inconsistent, or poorly governed. As AI becomes increasingly integrated into product lifecycle management (PLM), success depends on having clean, structured, and trusted product data. Product definitions, BOMs, configurations, and change histories form the digital backbone of the product lifecycle. When this data is fragmented or unreliable, AI can amplify those issues instead of delivering meaningful insight. By establishing strong data discipline and governance, organizations can transform AI into a powerful decision-making tool across engineering, manufacturing, and the supply chain.
What You’ll Learn
- Why AI initiatives often fail in engineering organizations and how poor data quality is the root cause
- The role of clean, structured, and governed data in enabling successful AI adoption within PLM environments
- How product definitions, BOMs, configurations, and change histories form the digital record of the product
- Why data cleanup, organization, and governance are essential to building reliable AI-driven insights
- Practical examples of how disciplined product data management enables AI to drive smarter engineering and operational decisions
Whether you are exploring AI initiatives, improving your PLM strategy, or looking to strengthen your organization’s digital thread, this session will provide practical insights into why clean data is still the foundation of successful AI. Register now to reserve your spot and learn how better data discipline can unlock the true potential of AI across your enterprise.
AI in Engineering Starts with Data: Preparing PLM for Real Intelligence
May 28th, 11:00 AM Pacific Time (GotoWebinar)
