The importance of AI and data in the manufacturing process
Artificial intelligence and data go hand in hand together, whether that’s as data used to train AI models or as AI models used to analyze and retrieve data. In the industrial world, there’s a fine balance between leveraging data to fine-tune shop floor AI systems meaning data intelligence is an equally valuable asset as well. Similarly, AI itself can provide a form of data intelligence through the lens of an Industrial Copilot capable of aggregating vast quantities of data into easy to access and understand formats. Bringing these elements together will be vital in realizing the future of data-driven manufacturing.
In this episode, host Spencer Acain is joined once more by Ralf Wagner, Senior Vice President of data-driven manufacturing at Siemens as he examines the applications of pretrained AI solutions compared to fine-tuning them for specific deployments. Additionally, he looks at the ways the Industrial Copilot can be applied to the data-driven manufacturing process.
In the episode you will learn:
- Out-of-the-box vs. fine-tuned models (0:42)
- Applications of the Industrial Copilot (5:02)
Ralf Wagner
Senior Vice President of Data Driven Manufacturing at Siemens Digital Industries
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.
Listen on:
