Building a time-series foundation model
Artificial intelligence is rapidly becoming a core technology for both consumers and businesses but bringing AI into the design process or onto the shop floor presents a unique set of challenges. With a wide variety of tasks and data types, creating AI models to handle industrial tasks is far more difficult than creating simple chat interfaces, which is where foundation models come in.
Host Spencer Acain is joined by Dr. James Loach, head of research at Senseye Predictive Maintenance to learn more about what foundation models are and how they can help address some of the challenges of bringing AI to industry. One example of this being Senseye’s own time-series foundation model.
In this episode you will learn:
- What is a foundation model? (0:30)
- Applications of a time series foundation model (6:00)
Spencer Acain
Technical Writer for Global Marketing at Siemens Digital Industries Software
AI Spectrum
This podcast features discussions around the importance of AI and ML in today’s industrial world.
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