Merging AI with operational technology (OT) is no simple
task, between concerns about robustness and reliability as well as data
privacy, there are many challenges to overcome. With that said, the potential
benefits make the endeavor worth the effort. Rather than bringing AI into every
aspect of manufacturing right away, the key for long-term success will be adopting
it gradually through small tasks with immediate benefit that also support
broader, long-term goals.
In this episode, host Spencer Acain is joined by Ralf
Wagner, Senior Vice President of data-driven manufacturing at Siemens, to look
at the steps it will take to bring AI into the manufacturing and operations
world, the key insights he and his team have gained along the way and finally,
what the future will hold for AI in industry.
In the episode you will learn:
·
Challenges of bringing AI into operations (00:57)
·
The future of AI in manufacturing (7:36)
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11:32
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)
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15:16
AI breaks down the silos of industrial data
AI will drive the future of data-driven manufacturing with
tools like Siemens Insights Hub already adopting AI in key areas today. For the
manufacturing industry, leveraging data and taking advantage of AI means
leveraging out of the box solutions and robust, easy to use models that don’t
require teams of data scientists. Leveraging data-driven manufacturing will be
vital for companies to traditionally siloed domains and unlock broad-ranging
optimizations.
In this episode, host Spencer Acain is joined once again by
Ralf Wagner, Senior Vice President of data-driven manufacturing at Siemens, to explore
core applications of AI within Siemens Insights Hub, with everything ranging
from out of the box solutions to powerful customizations for expert users.
Beyond that, Ralf examines the importance of data-driven manufacturing going
forward, and why AI will play a key role in that.
In the episode you will learn:
·
What are the 4 applications of AI in Insights
Hub? (00:28)
·
Importance of data-driven manufacturing (11:50)
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18:38
AI enables the future of data driven manufacturing
Data is playing an increasingly important role in the manufacturing
process but leveraging it to its fullest potential and intelligently applying
it to optimize production process and systems can present many challenges. AI provides
a path to leveraging production and IIoT data to support continuous
optimization and achieve insights faster than traditional methods allow.
In this episode, host Spencer Acain is joined by Ralf
Wagner, Senior Vice President of data driven manufacturing at Siemens, to discuss
the importance of tools like Siemens Insights Hub for smart manufacturing.
Additionally, he will examine the key role AI is playing in these types of
tools and why it will be crucial in achieving the next step in smart
manufacturing.
In the episode you will learn:
·
What is Insights Hub? (2:11)
·
Major AI applications in Insights Hub (10:11)
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13:06
How AI is paving a new path for design and manufacturing
Artificial intelligence is already finding a place across
many different areas of the design and manufacturing process but its benefits
aren’t limited to supporting individual, siloed, applications. As both AI
technology and the digitalization of the complete product design process
continue to develop, AI will become a key tool that spans across the entire
breadth of industry, reshaping the entire process from end to end.
In this episode host Spencer Acain is joined by guests Boris
Scharinger, Senior Innovation Manager and Technology Strategist for Siemens
Digital Industries, and Dr. Justin Hodges, Senior AI/ML Technical Specialist in
Product Management for Siemens Digital Industries Software, as they look to the
future of what AI will offer the product design and manufacturing process. They
highlight key AI trends and they impact they are already having at every stage
of the design process, while also examining the impact those trends will have
in the future.
In this episode you will learn:
·
The impact of AI across the breadth of product
design (1:25)
·
The future of AI in industry (7:18)
AI Spectrum podcasts cover a wide range of artificial intelligence and machine learning topics. Listen to experts within Siemens and their customers talk about the impact of AI, success stories, and the future of AI. Gain insight into real world applications so that you can potentially apply AI within your world.
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