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)

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)

Artificial intelligence is having a major impact on the way products are designed and manufactured. Applying AI to the manufacturing industry can help bring a new layer of speed and adaptability to an industry that has traditionally been slow to adopt new trends. AI offers the ability to understand, package, and transport information between systems and users in a more efficient and intuitive way than ever before, enabling new approaches and innovations across the breadth of a factories operations.

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, to examine the ways AI is being applied to the manufacturing process. They cover topics focused on applying AI/ML to critical data within factories, encompassing both usage and analysis.

In this episode you will learn:

·        Applications of AI in manufacturing (1:17)

·        How AI is accelerating operations (5:01)

·        Packaging data with ML models (7:46)

Advanced software methods, like simulation and the digital twin, are at the core of modern product design, enabling new designs to be tested and validated quickly and efficiently based on real-world data without the need for expensive prototypes. Now, thanks to the latest advances in AI, these key technologies can be taken a step further, allowing for even greater efficiency and new ways of tackling complex problems.

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, to explore the applications of AI in simulation and design, including applying AI to unify different elements of the digital twin and deepening the connection between the virtual and physical worlds.

In this episode you will learn:

·        The benefits of moving to smaller models (0:37)

·        How reduced order models help bring together digital twins (3:16)

·        AI enables DevOps for hardware (7:46)

With the continuing digitalization of industry, the product design and manufacturing process is becoming more connected from end to end. Taking advantage of that connection and digitalization, artificial intelligence is starting to take a bigger and bigger role across every stage of the design and manufacturing process. Bringing AI into the design process helps organizations achieve both long- and short-term goals while simultaneously accelerating traditionally slow processes, help enable new, innovative approaches to historic problems.

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, to discuss the applications of AI in the early stages of the design process. They discuss key topics such as the application of AI as a decision support system, as well as ways AI is helping address important concerns such as sustainability.

In this episode you will learn:

·        What are the applications of AI in the early stages of product design? (4:06)

·        How AI is helping address sustainability concerns (6:27)

·        How AI enables faster decision making (9:15)

PLM systems are at the heart of modern, digitally integrated

manufacturing and design companies, helping to support the digitalization of

industry and the advancement of next-generation manufacturing. However, with as

complex as these systems are and with the vast quantities of data available

within them, leveraging a PLM system to its fullest potential isn’t always a

simple task.

In this episode, host Spencer Acain is joined by Charles

Aldave, Product Marketing Manager for Teamcenter, to discuss the ways AI is

impacting PLM systems, both as a means for directly interfacing with users and as

a way to silently speed things up behind the scenes.

In this episode you will learn:

·        

What is Teamcenter? (0:43)

·        

Creating hallucination free generative AI (2:37)

·        

How Teamcenter seamlessly integrates AI (6:00)

Microchips are getting smaller, denser and more complex with

each passing year not only incurring increased costs, but greater manufacturing

challenges as well. To help drive the continued advancement of semiconductor

technology, the design and testing of these new chips must be ready to

accommodate AI and ML from the ground up.

In this podcast, host Spencer Acain is joined by Ron Press,

Senior Director of Technology Enablement at Siemens Digital Industries, looks

to the future of AI and ML in the chip design and verification process. Ron

explores the needs for cutting edge technology in a field as complex as IC

production, as well as the challenges of adopting that same technology into a

multi-billion-dollar industry.

In this episode you will learn:

·        

What is analytical AI? (0:37)

·        

Challenges of bringing AI into IC design and

test (4:48)

·        

The need for cutting edge technology in leading

processes (6:36)

Microchips are an integral part of modern society,

controlling devices big and small, simple and complex. Designing these chips

isn’t a simple process by any means but equally so, fabricating and verifying

completed parts is not only incredibly complex, but a vital step in the

manufacturing process. Cutting edge microchips are so expensive to manufacture

that improving yields by even 1% can represent multi-million dollar

improvements in revenue.

In this podcast, host Spencer Acain is joined by Ron Press, Senior

Director of Technology Enablement at Siemens Digital Industries to explore the

ways he and his team are applying AI and ML in Tessent, a key tool in the chip

verification and design process. Additionally, Ron explains the importance of

testing and why the process takes so well to AI/ML.

In this episode you will learn:

·        

What is Tessent? (1:04)

·        

Applications of AI/ML in Tessent (5:58)

·        

What makes IC verification a good fit for

machine learning? (8:56)

AI is a constantly changing field, sometimes with a

staggering pace of innovation so when considering the development and

deployment of AI solutions it’s important to also understand where the

technology will go in the future. Adapting to the challenges of today while

preparing for the advancements of tomorrow must be key considerations when

developing any AI technology, especially broad-reaching ones like the

Industrial Copilot.

In this episode, join host Spencer Acain and guests Michi

Lebacher and Alessia Bortolotti as they examine the challenges of bringing an

ambitions project like the Industrial Copilot to life, how that project will

evolve in the future, and where AI is leading the industry as a whole.

In this episode you will learn:

The Industrial Copilot is already beginning to prove its

value across industries but ensuring such a powerful AI tool is industrial

grade and ready to deploy not in months or years but in days, isn’t without its

challenges. Addressing these challenges requires a smarter approach to data and

training, as well as extensive cooperation both between new and existing

software tools and with partners seeking to deploy these AI solutions.

In this episode, host Spencer Acain is joined by Michi

Lebacher and Alessia Bortolotti to examine the approaches to data and

deployments, trade-offs and customer benefits of the Industrial Copilot.

In this episode you will learn: