In the latest episode of the Industrial AI Podcast, host Robert Weber sat down with Joern Steinbeck, co-founder of oee.ai, to discuss how generative AI is reshaping manufacturing. The conversation explored the evolution of oee.ai’s approach, the capabilities of their AI agent “Saru,” and the challenges and opportunities of leveraging AI in industrial environments. Here are the key takeaways from this insightful discussion.
A Glimpse into oee.ai
Founded with a vision to revolutionize machine-based manufacturing, oee.ai provides cutting-edge manufacturing analytics tools. Their platform focuses on real-time productivity analysis, enabling operators and managers to identify anomalies, streamline operations, and boost Overall Equipment Effectiveness (OEE).
Joern explained how their tools collect data from machines, ERP systems, and even human inputs to provide actionable insights through intuitive dashboards and notifications. The mission is clear: empower manufacturers to achieve peak performance through advanced analytics and AI.
The Evolution of Technology: From LSTM to Generative AI
Three years ago, oee.ai relied on Long Short-Term Memory (LSTM) models to analyze time-series data. However, the company has since transitioned to leveraging large language models (LLMs) like LLaMA, specifically utilizing the 70-billion parameter model. This shift has enabled them to integrate generative AI for advanced data processing and user interaction.
Joern highlighted how this new approach allows operators to access complex data insights effortlessly. For instance, instead of navigating through multiple dashboards, users can simply query the AI and receive precise, actionable recommendations.
Meet Saru: The AI Agent Transforming Manufacturing
At the heart of oee.ai’s innovation lies “Saru,” their AI-driven assistant. Inspired by lean manufacturing principles, Saru acts as a real-time companion for operators and managers, providing:
- Proactive Guidance: Identifying productivity losses and suggesting immediate corrective actions.
- Tailored Insights: Leveraging both static knowledge (e.g., operational standards) and dynamic data to offer customized recommendations.
- Enhanced Troubleshooting: Reducing repair times by consolidating operator inputs and historical data into actionable advice.
Named after the Japanese word for monkey (and a nod to oee.ai’s logo), Saru embodies curiosity and intelligence, bridging the gap between machine data and human decision-making.
Overcoming Challenges with Generative AI
While the benefits of generative AI are immense, the journey hasn’t been without hurdles. Joern shared some key learnings:
- Fine-Tuning Efforts: Adapting LLaMA models to meet industrial needs requires significant effort, especially in ensuring consistent and contextually accurate responses.
- User Trust: Addressing customer concerns about data privacy and the cost of implementing AI solutions remains a priority.
- Consistency in Outputs: Variability in responses to similar queries can be confusing for users, highlighting the need for ongoing model refinement.
A Vision for the Future
Looking ahead, oee.ai aims to expand Saru’s capabilities. Joern envisions a future where AI doesn’t just respond to user queries but proactively identifies and communicates opportunities for improvement. This agentic approach would revolutionize workflows, enabling operators to act on AI-driven insights without the need for constant manual input.
Additionally, oee.ai is focusing on:
- Personalized Recommendations: Enhancing Saru’s ability to provide context-specific advice tailored to individual operations.
- Seamless Integration: Ensuring compatibility with diverse industrial environments, including brownfield sites, through advanced data acquisition methods.
Customer Feedback and Industry Impact
Feedback from oee.ai’s customers has been overwhelmingly positive, particularly regarding features like automated troubleshooting. Operators appreciate the ease of inputting data and receiving immediate, actionable solutions—often in their preferred language.
However, Joern acknowledges the challenges of driving adoption in a traditionally slow-to-adapt industry. He believes that generative AI will become a differentiator for industrial applications, providing a competitive edge for forward-thinking manufacturers.
Closing Thoughts
The conversation with Joern Steinbeck underscored the transformative potential of generative AI in manufacturing. By integrating advanced analytics with user-friendly interfaces, oee.ai is not just enhancing productivity—it’s redefining what’s possible in industrial operations.
As generative AI continues to evolve, companies like oee.ai are leading the charge, proving that innovation and practical application can go hand in hand. With tools like Saru, the future of manufacturing looks smarter, more efficient, and undoubtedly more exciting.
Interested in learning more about how AI can transform your manufacturing processes? Get in touch with us today!