Our perspective on AI
Artificial intelligence (AI) is a powerful tool that is being applied within and across PTC products in thoughtful, customer-centric ways. We’re using it to improve the user experience, create value from the data entrusted to our products, and make it easier to derive insights across engineering, manufacturing, and service.
For more than 10 years, we have applied AI in our products, from machine learning to computer vision. As new technologies like generative AI emerge, we will continue to invest in our enterprise offerings in valuable, scalable, and responsible ways.
Investing in AI for more than a decade
AI governance
In 2023, in recognition of the fast-evolving landscape of AI, we formally established an AI governance framework to lead our efforts in adopting responsible AI governance, while fostering AI innovation.
Our governance model actively oversees AI implementation internally and externally, especially as it relates to risk, compliance, data privacy, and IP protection.
Practical AI solutions across the product lifecycle
Our goal is to apply AI to our customers’ top problems. We’ve identified the applications where we can bring the most value for product companies.
Engineering
Manufacturing
Service
Customer experience
Engineering
In product design and engineering, AI can support the increasing challenge of product complexity, which impacts the entire product lifecycle. Below are some specific value drivers and AI applications:
- Accelerate product development through smart requirements and test authoring, design recommendations, and supplier analytics
- Reduce cost of goods sold (COGS) through part rationalization, reuse, and classification
- Improve product quality, reduce risk, and drive impact through change management analytics and IP protection
Manufacturing
With priorities like efficiency and product quality, manufacturers benefit from AI applications that support the following value drivers:
- Design for manufacturability through automating process plans and work instructions authoring
- Improve operational efficiencies by identifying bottlenecks, time loss efficiencies, and accelerate issue triage and resolution
- Skill the workforce with AI-assisted assembly, changeover, and maintenance
Service
Delivering high-quality service, particularly for long-lifecycle products, challenges even the most efficient organizations. AI applications focused on the following can support the service organization’s most important goals:
- Optimize spare parts management with inventory forecasting, pattern detection, failure rate root cause, and sustainability insights
- Enable proactive service with remote troubleshooting and triage and forecast technician scheduling
- Reduce service delivery costs by reducing field visits and truck rolls and on-site time with AI assistance
Customer experience
AI helps companies get more from product data
"Companies that leverage AI strategically and in ways that impact the business will have an advantage in the marketplace. More specifically, companies that recognize and leverage their product data as a strategic enterprise asset will be able to transform how they design, manufacture, and service their products."