3 episodios

Explore the topic of digital transformation in industry in Where Today Meets Tomorrow, a Siemens podcast. The conversations are fun and lighthearted, accessible to everyone from your CTO to your mom. Complexity and change are hallmarks of our industry and modern life generally, but one constant is that all of us working in and impacted by digitalization have a story to tell. What's yours? 
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Where Today Meets Tomorrow Siemens Digital Industry Software

    • Economía y empresa

Explore the topic of digital transformation in industry in Where Today Meets Tomorrow, a Siemens podcast. The conversations are fun and lighthearted, accessible to everyone from your CTO to your mom. Complexity and change are hallmarks of our industry and modern life generally, but one constant is that all of us working in and impacted by digitalization have a story to tell. What's yours? 
See acast.com/privacy for privacy and opt-out information.

    The Future of AI and Machine Learning with Mohsen Rezayat & Ron Bodkin

    The Future of AI and Machine Learning with Mohsen Rezayat & Ron Bodkin

    You’re taking advantage of the benefits of AI every day in ways you might not even be aware of. When you “talk” to an automated voice on the other end of the phone, when you call a Lyft or an Uber, and when you’re asking Siri or Alexa to play your favorite song while you wash dishes. AI is everywhere, and its uses are expanding rapidly. 
    With the application of any new technology, there’s always a period of time during which kinks that creators didn’t plan for become visible. As new systems gain traction, those unaccounted for faults can become amplified, creating patterns, which in turn can start to erode trust. One example of this when it comes to AI is how racial and gender biases that the technology was actually built to avoid can creep into the decision-making process. Another is how the AI-based algos in social media amplify extreme views and keep us all in our filter bubbles, too often fostering division. 
    To better broadly consider the effects of such systems, it’s perhaps useful to first understand how they work – by building upon their own intelligence, collecting information from our cues and habits. We all collectively create AI in our clicks and swipes, often without considering how the data will be used by bots and algos to make decisions. In order to make this technology work well, and work well for everyone, we need to map out the channels of its proverbial brain. 
    Our guests today are Mohsen Rezayat and Ron Bodkin. Rezayat is our Chief Solutions Architect here at Siemens Digital Industries Software. Bodkin spent the past few years as Technical Director of Applied Artificial Intelligence at Google. Currently, he’s the Vice President of AI Engineering and CIO at Vector Institute and Engineering Lead at the Schwartz Reisman Institute for Technology and Society. 
    In today’s episode, we’re talking about machine learning and artificial intelligence, including the complexity of establishing a system of ethics in AI so that it makes conscientious decisions and better serves our collective human community. And find more information on industrial AI at Siemens here.
    Some Questions I Ask:
    What is an example of AI in practice? (5:58)How are some AI models demonstrating bias? (7:59)What is the potential to deliberately misuse digital systems? (10:31)With the loss of public trust in AI, when do you think we’ll be able to regain our trust of this technology? 12:51)What do you think about how tech companies can safeguard us against bias and unfair treatment from algorithms? (19:48)Do you think we’ll achieve the goal of embedding ethics into future models of AI? (21:39)
    What You’ll Learn in This Episode:
    The definition of machine learning (2:20)An example of how machine learning works (2:51)How racial bias makes its way into AI algorithms (8:45)The three components of trustworthy AI (12:56)How we can build ethical AI (14:37)Why humility is a good quality (15:10)How AI could help us see the future when it comes to catastrophic events (16:50)
    Connect with Mohsen Rezayat:
    LinkedIn
    Connect with Ron Bodkin:
    LinkedIn

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    • 23 min
    Industry 4.0 and Manufacturing’s Response to COVID-19 with Brian Sniegocki and Tom Tengan

    Industry 4.0 and Manufacturing’s Response to COVID-19 with Brian Sniegocki and Tom Tengan

    We have entered the fourth industrial revolution, and things have been moving along without a hitch. Digitalization within manufacturing is becoming more and more common as the speed of technology continues to increase. By the end of 2019, things were looking really good. Then, as if out of nowhere, we were suddenly thrown a curveball. 
    The Covid-19 pandemic has thrown a pretty sizable wrench into our lives. It’s changed the way we go about our day to day activities, how we interact with one another, and how we move around the world. It has equally shocked the business sector, as companies across the globe attempt to navigate new systems of daily operations and communications within a cloud of uncertainty.
    Our guests today are Brian Sniegocki and Tom Tengan. Brian runs a global quality system at Dana Incorporated, with the admirable goal of making people's jobs easier. Tom started as a Design Engineer in the aerospace industry before becoming a Director of the Digital Enterprise team at Siemens. Together they bring 40 years of experience to our wondering ears. 
    As an industry built on continuous innovation, progress can’t take a backseat – even through a pandemic. In today’s episode, we talk about how companies are learning to operate within this new normal, while continuing to innovate. We discuss how the industry manages to keep workers safe, and how we can communicate these new measures to employees in a clear and concise way. We also talk about an innovative software solution that can help ease the transition to a safer workplace as we implement so many changes at once. 
    Some Questions I Ask:
    How can RTLS help with these workplace issues? (7:20)What is RFID? (9:38)How does Compliant Pro help solve these problems? (12:40)How does the digital twin come into the equation? (18:19)Will companies still be willing to invest in IT and digitalization during difficult times? (19:21)How would you advise technologists who are just starting out in the field, wanting to plot their career path? (21:15)
    What You’ll Learn in this Episode:
    A brief story about the early, early days of the Industrial Revolution (0:06)Words of wisdom on the uptake of digitalization (3:15)The biggest issues to consider in returning employees to the workplace (5:00)How a software is making it easier to virtually navigate facilities (15:10)How young engineers can set themselves apart from the competition (23:44)
    Connect with Brian Sniegocki:
    LinkedIn
    Connect with Tom Tengan:
    LinkedIn

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    • 25 min
    Digitalization past, present & future | Ken Amann (CIMdata)

    Digitalization past, present & future | Ken Amann (CIMdata)

    "What is the definition of a digital twin? I guarantee you if you ask 40 different consultants you'll get at least 41 different answers." 
    Our guest in episode #1 is Ken Amman, an executive consultant at CIMdata. In 1967, Ken graduated from Georgia Tech as an aerospace engineer, and his resume includes work on digitalization at firms including Boeing, Airbus, Rolls Royce, GE, PWC and of course Siemens. 
    Thanks for checking out the Where Today Meets Tomorrow podcast by Siemens where we are exploring the topic of digital transformation in industry in what we hope to be fun, lighthearted and wide-ranging conversations, accessible to everyone from your CTO to your mom. Complexity and change are hallmarks of our industry, but one constant is that all of us working in and impacted by digitalization have a story to tell. And thanks to Ken for joining us in our pilot episode.  
    Some Questions I Ask:

    How does one think about putting people on the moon? (5:13)Where do you see the future of space exploration? (7:27)How do we protect our ideas in the age of the Digital Twin? (18:10)How do you manage security when people are working remotely? (19:00)What are the challenges facing businesses who need employees on the ground? (21:23)
    In This Episode, You’ll Learn:

    The highlight of Ken’s Career (4:34)The definition of a “Digital Twin” (9:10)Why Digital Transformation is the way of the future (12:18)How to deal with the complexity of the information you gather (15:26)A real-world example of how opening the lines of communication in an industry can be beneficial (16:45)Why teamwork makes the dream work (17:22)Ken’s favorite Disney movie (24:09)
    Connect with Ken Amman, CIMdata:

    CIMdata “An Enterprise Innovation Platform for Manufacturers”Email 

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    • 25 min

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