Leveraging AI & ML in the Digital Thread
A Complimentary CIMdata Educational Webinar with Sandeepak Natu, Co-Director, Simulation-Driven Systems Development Practice, CIMdata
8 August 2024
11:00 EDT | 08:00 PDT | 17:00 CEST
Do any of the following statements sound familiar?
- Navigating the integration of AI into our enterprise digital threads is challenging for me.
- It is a priority to understand how to manage our data deluge efficiently and translate it into actionable insight.
- Our search for analytics techniques and use cases related to AI has yielded very few results, and we are eager to gain insight.
- Understanding the major trends shaping the future of digital thread and AI is a concern, and I'm seeking insights into these developments.
- Ensuring our digital transformation initiative covers all the required elements is an area of uncertainty for me.
A digital thread is an integrated, connected framework of data that provides a comprehensive view of a product’s lifecycle, from initial design through manufacturing, operation, and end-of-life. It connects data from various stages and systems, enabling seamless information flow and real-time visibility into all aspects of the product's life. A significant portion of an enterprise's intellectual property and possibly its unique value proposition lies hidden in its digital threads. As product complexity rises and product development cycles shrink, the insights gained from an enterprise’s digital threads become critical to an organization’s success.
AI and ML technologies are compelling in identifying patterns and developing predictive models from large amounts of data. When exposed to AI and ML techniques, product and process data from an enterprise’s digital thread can transform the product lifecycle. Many potential use cases are becoming visible across industries including:
- Improved collaboration, facilitating communication and data sharing across different departments and stakeholders, enhancing design outcomes.
- Enhanced traceability aiding in compliance and quality control.
- Predictive maintenance preventing potential failures and reducing downtime.
- Informed decision-making to enable better strategic decisions.
At CIMdata, we have been studying and researching the evolution of enterprise digital threads for several years. We are looking at it from the perspective of applying AI and ML technologies to generate additional enterprise value. Join us for this webinar where we will share CIMdata’s view on the current state of the application of AI and ML technologies across enterprise digital threads and how we see it evolving in the near term.
By Attending this Webinar, You Will
- Better understand AI's place within a PLM environment.
- Acquire practical insights on leveraging AI within a digital thread context and discover its transformative potential.
- Explore how AI can effectively manage and derive actionable insights from the overwhelming data deluge.
- Demystify the world of AI and Machine Learning, gaining a comprehensive understanding of their applications and benefits.
- Be exposed to relevant analytics techniques and real-world use cases, providing a comprehensive understanding of AI's practical applications.
- Learn how to extract meaningful intelligence from PLM-related data, enhancing decision-making and strategic insights.
- Discover how to become an innovator equipped with AI capabilities.
Who should attend?
Executives responsible for PLM and digital thread initiatives, those responsible for digital transformation, PLM team leaders, PLM team members, PLM users, product managers, IT leadership, PLM solution providers, or anyone else who wants to understand AI trends and status within the global PLM industry.
During the webinar, you’ll also have the opportunity to ask questions about the topics discussed.