AI at PTC: Turning Product Data Into Product-Driven Intelligence

Generative AI is a type of artificial intelligence that creates new content—such as text, images, code, designs, or music—based on patterns learned from large datasets. Unlike traditional AI, which focuses on analyzing or predicting, generative AI produces original outputs that mimic human creativity. It uses models like large language models (LLMs) and generative adversarial networks (GANs) to generate realistic, context-aware results. This technology is reshaping industries by accelerating innovation, automating tasks, and enabling new forms of creativity.

AI agents are software programs that can perceive their environment, reason, and take actions to achieve specific goals. They use AI techniques like natural language processing, machine learning, and automation to interact with data, systems, and people. Unlike static tools, AI agents can adapt, learn, and operate autonomously or collaboratively—handling tasks such as answering questions, automating workflows, or making recommendations. This makes them powerful for improving efficiency, decision-making, and user experiences across industries.

PTC AI stands out by embedding generative AI directly into enterprise tools like Creo, Windchill, Codebeamer, and ServiceMax, making it context-aware and workflow-ready. It leverages trusted product data, is tailored for engineers and product teams, and delivers enterprise-grade, scalable solutions—helping customers move from pilot to full production and achieve measurable business value.

AI can be safe and secure for enterprise use when implemented with proper governance, data privacy, and access controls. Trusted AI relies on high-quality, internal data rather than public sources, follows compliance and ethical guidelines, and is integrated into enterprise systems with monitoring and auditing—minimizing risk while delivering reliable, explainable, and actionable insights.

Artificial intelligence, or AI, refers to machines performing tasks that typically require human intelligence. Machine learning is a subset of AI where systems learn patterns from data to make predictions or decisions. Generative AI is a type of machine learning that creates new content—like text, images, or designs—based on learned patterns, going beyond analysis to actively generate novel outputs.