AI Spectrum

AI Spectrum

By Siemens Digital Industry SoftwareScienceTechnology
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AI Spectrum episodes

  • Understanding the intersection of AI and simulation – Part 1

    Simulation has been a cornerstone of the design process for

    many years but despite how advanced modern simulation tools have become, there are
    always ways to continue advancing. Artificial intelligence and machine learning
    represent one such path to improvement, working in tandem with existing
    simulation techniques to accelerate design space exploration and beyond.

    In this special miniseries, host Spencer Acain is joined by Todd

    Tuthill, Vice President for Aerospace and Defense and Marine Industry at Siemens,
    Dr. Justin Hodges, Senior AI/ML Technical Specialist at Siemens as well as
    Fatma Kocer-Poyraz, Vice President of Engineering Data Science at Altair to
    explore the ways AI/ML will complement traditional simulation and enhance
    design space exploration going forward.

    In this episode you will learn:

    ·      

    What are the synergies between AI and
    simulation? (3:12)

    ·      

    The power ML surrogates for design space
    exploration (7:17)

    ·      

    Value of AI and simulation (11:35)

    ·      

    Understanding synthetic data (14:36)

    20 min
  • A bright future of AI in Operational Technology

    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)

    12 min
  • 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)

    16 min
  • 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)

    19 min
  • 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)

    14 min
  • 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)

    17 min
  • Capturing manufacturing data and processes with AI

    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)

    13 min
  • How AI brings DevOps to product design

    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)

    14 min
  • How AI accelerates early product design

    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)

    14 min
  • How AI is augmenting the PLM process

    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)

    13 min

About AI Spectrum

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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…