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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)
View all episodes
By Siemens Digital Industry Software
5
11 ratings
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)