I recently had an insightful conversation with a former colleague about the growing role of Artificial Intelligence (AI) in Product Lifecycle Management (PLM) enablement and how the data these solutions manage plays a critical role in AI's effectiveness.

We started by discussing the sheer amount of data that PLM solutions handle. These solutions manage everything from design data, engineering specs, and manufacturing details to quality control records and service data. And it’s not just straightforward data – we're talking about complex 3D models, CAD files, and BOMs.

My former colleague asked a great question: "How does AI fit into all of that data?" I explained that while many think AI only works when you have massive amounts of data, that’s not entirely true. AI can add value even with moderate data volumes by helping improve decision-making, predicting potential outcomes, and automating repetitive processes. Of course, more data allows AI models to make better predictions as long as they are accurate, but the key is using the data effectively, not just accumulating it.

We also discussed data variety. PLM solutions handle data from a wide range of sources—structured data like databases and unstructured data such as documents, designs, and images. This variety can be difficult to manage, but it is precisely where AI thrives. The more diverse the data, the better AI can spot patterns and offer useful insights.

The conversation naturally shifted to data quality (i.e., accuracy). All that data isn’t much use if it’s not accurate and relevant. AI Models can process unstructured data and deliver results, but those results may be less reliable or meaningful if the data lacks quality. This is why data governance is so crucial. It is designed to ensure data is accurate, consistent, and well-managed. Ultimately, AI models must deliver actionable insights that can be confidently leveraged.

We explored how AI benefits PLM, from predictive analytics—which can anticipate issues in the product lifecycle and improve designs—to automation that handles tasks like data entry and compliance checks. AI can also optimize processes across the lifecycle, cutting costs and improving efficiency. We passionately discussed this last topic: how AI can automate repetitive tasks, enable predictive analytics that improve planning, and optimize supply chains. We agreed it enhances real-time process monitoring and quality control, personalizes marketing and customer service, and detects fraud and risks.

Of course, AI’s effectiveness depends heavily on the quality and governance of the data it's using. Even the best AI models won't deliver reliable insight without solid data governance practices.

So, what does good data governance look like in a PLM environment? I share a few key areas to focus on:

• Data Quality Management: Make sure the data is accurate, complete, and consistent, with regular audits to ensure ongoing quality.
• Data Security and Compliance: This is especially critical for industries that deal with intellectual property or regulatory constraints. Encryption, access controls, and security audits are essential.
• Data Integration: PLM solutions often need to interact with other applications and enterprise solutions, like CAD, office automation, ERP, and CRM. Seamless integration is vital to ensuring data consistency.
• Ownership and Accountability: Define who owns and manages each data set so there is clear accountability across the organization.
• Metadata Management: Maintain strong metadata practices to make data easier to find, understand, and use effectively.

By the end of our conversation, it was clear that strong data governance is the foundation for making AI work effectively in PLM solutions. When you ensure your data is well-managed, AI can unlock its potential, providing meaningful insights and driving efficiency throughout the product lifecycle.

In short, AI and PLM are a powerful combination, but it all starts with a commitment to solid data governance.

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Warm regards.

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Check out CIMdata's Data Governance Dossier for more on the topic!