Where Today Meets Tomorrow


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:


Connect with Ron Bodkin:


More Episodes


Teamcenter X and AWS provide a cloud-secure comprehensive infrastructure

Season 1, Ep. 2
Amazon Web Services (AWS) is architected to be the most flexible and secure cloud computing environment available today. The core infrastructure is built to satisfy the security requirements of the military, global banks, and other high-sensitivity organizations. In addition, AWS uses the same secure hardware and software to build and operate each of the regions and service offerings to associate that it is supply-vetted and accepted as safe enough for top-secret information, benefitting all customers globally.In our second podcast in the Teamcenter X industry solutions series, we join our host Chris Pennington, Global Industry Marketing Leader for Industrial Machinery at Siemens Digital Industries Software, and Joe Rosing, WW GTM Leader, Industrial Manufacturing at AWS. They will discuss a new perspective on how the cloud changes the product development process and how a business operates. And how AWS makes security a top priority, architected to be the most flexible and secure cloud computing environment available today.Malintent can find a server from anywhere, whether it's in the cloud or not. So, AWS has a dedicated team of engineers and investigators who proactively build algorithms and mechanisms to detect and prevent service misuse. They respond quickly if customers or third parties bring suspected misuse to their attention. This episode includes vital points on the following:How AWS provides resiliency in the cloud with a comprehensive infrastructureHow availability zones isolate faults that could impact workload resilience, preventing them from impacting other zones in the region, ensuring network performance efficiencyThe design principles that assist in automatically recovering from workload failureThe five reasons for small to medium-sized businesses to operate within the cloud to scale deployment or growth globally Connect with Joseph Rosing:LinkedIn Connect with Chris Pennington:LinkedIn

Teamcenter X SaaS solutions in the cloud

Season 1, Ep. 1
Software as a Service (SaaS) is a way of delivering applications over the Internet. We have all become users of cloud solutions, often starting with our mobile phones and backing up data to iCloud or Google Drive. However, SaaS applications have become more pervasive in our work lives, with companies like Salesforce leading the way with CRM and Microsoft moving from selling the office suite to a cloud service for document creation and storage.Our host Chris Pennington, Global Industry Marketing Leader for Industrial Machinery at Siemens Digital Industries Software, is joined by Michael Boland, Product Manager for Teamcenter at Siemens Digital Industries Software. They will help us understand the advantages of SaaS and what Siemens is doing in this area.Fortunately, SaaS can run on any device, PC, laptop or mobile phone. And the Siemens Xcelerator suite of software offers a broad range of capabilities that take the power of cloud and SaaS further through PLM software Teamcenter. Branded as Teamcenter X, it makes PLM adoption even easier by increasing preconfiguration and developing industry-focused solutions ready to go right out of the box.This first episode in the series provides an introduction to PLM Machine Builders and the advantages of SaaS.Learn from this Episode:A definition of SaaS.The power of cloud via PLM Software as a Saas solution.Managing your data with PLM SaaS.How PLM adoption increases through preconfigured solutions.Customer trends driving cloud servicesConnect with Michael Boland:LinkedInConnect with Chris Pennington:LinkedIn