In 2024, we spent a lot of time talking about AI, trying to understand its potential, and what pieces were required to make it a reality. In 2025, we are putting those various bits of information into play. Those “bits” start with determining where the AI processing should occur. Then the engineers move into the MCU selection, the use (or non-use) or LLMs, and the design of the Edge computer. Finally, the trail moves out to the endpoint, while making sure that the entire system is locked down and kept clear of hackers.
Tue, Apr. 08, 2025 · 11:00 am (PDT)
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Processors for AI applications are coming out of the woodwork, and it’s hard to decipher which is best fort your application, as there are many factors involved. Are you processing at the Edge or in the Cloud? Is low power near the top of the priority list? Do you need full-blown AI, or just a subset? Knowing the answers to these questions will get you started, and our expects in this session will help guide you down the right path.
Processors for AI applications are coming out of the woodwork, and it’s hard to decipher which is best fort your application, as there are many factors involved. Are you processing at the Edge or in the Cloud? Is low power near the top of the priority list? Do you need full-blown AI, or just a subset? Knowing the answers to these questions will get you started, and our expects in this session will help guide you down the right path.
VP Marketing, Alif Semiconductor, Inc
Mark Rootz, VP of Marketing at Alif Semiconductor, is a business and technology executive with 35+ years’ experience who specializes in semiconductor product definition, productization, go-to-market, business development, and team building. He previously held positions in these roles at leading companies such as STMicroelectronics, Freescale, and Renesas.
Mark began his career in systems engineering for networked avionics, then automotive powertrain control before moving to the semiconductor industry in the realm of microcontrollers, microprocessors, and connectivity. His technology areas of focus include embedded processing and control, artificial intelligence/machine learning, low power wireless communication, and extreme low-power semiconductor techniques.
Mark holds BSEE and MSEE degrees from the University of Missouri – Rolla.
Mark began his career in systems engineering for networked avionics, then automotive powertrain control before moving to the semiconductor industry in the realm of microcontrollers, microprocessors, and connectivity. His technology areas of focus include embedded processing and control, artificial intelligence/machine learning, low power wireless communication, and extreme low-power semiconductor techniques.
Mark holds BSEE and MSEE degrees from the University of Missouri – Rolla.
Executive Vice-President, Brand Director, Embedded Franchise, OpenSystems Media
Wed, Jun. 04, 2025 · 11:00 am (PDT)
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Industrial applications typically don’t require all the bells and whistles of full-blown AI. Machine learning is usually what’s warranted. In this session, you’ll learn how to implement machine learning, pulling in just the data that’s needed for your industry equipment.
Industrial applications typically don’t require all the bells and whistles of full-blown AI. Machine learning is usually what’s warranted. In this session, you’ll learn how to implement machine learning, pulling in just the data that’s needed for your industry equipment.
Executive Vice-President, Brand Director, Embedded Franchise, OpenSystems Media
Tue, Jul. 08, 2025 · 11:00 am (PDT)
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Most of the AI offerings come with their own set of development tools. Some are open source, and some aren’t. More importantly, some are easy to use, and others aren’t. In this session, we’ll walk through the basics of these toolsets, showing how involved (and complex) this process needs to be based on your application.
Most of the AI offerings come with their own set of development tools. Some are open source, and some aren’t. More importantly, some are easy to use, and others aren’t. In this session, we’ll walk through the basics of these toolsets, showing how involved (and complex) this process needs to be based on your application.
Executive Vice-President, Brand Director, Embedded Franchise, OpenSystems Media
Tue, Aug. 19, 2025 · 11:00 am (PDT)
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While most developers want to do their processing at the Edge, sometimes it’s just not possible because of the amount of data and complexity of calculations. Hence, a Cloud solution is required. In this session, we’ll look at the Cloud solution from both perspectives—designing a Cloud-based system that can serve highly complex applications, and the systems that feed into the Cloud.
While most developers want to do their processing at the Edge, sometimes it’s just not possible because of the amount of data and complexity of calculations. Hence, a Cloud solution is required. In this session, we’ll look at the Cloud solution from both perspectives—designing a Cloud-based system that can serve highly complex applications, and the systems that feed into the Cloud.
Executive Vice-President, Brand Director, Embedded Franchise, OpenSystems Media
Tue, Oct. 21, 2025 · 11:00 am (PDT)
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Developing a system that deploys Edge-based AI is the goal for most developers (as opposed to Cloud-based AI), for a host of reasons. It removes latencies associated with sending data off-prem; it increases security because your data always remains on-prem; and it lets you control the complete design and implementation/deployment of the platform. Our experts in this session will show you how to do that and more.
Developing a system that deploys Edge-based AI is the goal for most developers (as opposed to Cloud-based AI), for a host of reasons. It removes latencies associated with sending data off-prem; it increases security because your data always remains on-prem; and it lets you control the complete design and implementation/deployment of the platform. Our experts in this session will show you how to do that and more.
Executive Vice-President, Brand Director, Embedded Franchise, OpenSystems Media
Tue, Dec. 09, 2025 · 11:00 am (PST)
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The Robot Operating System (ROS) is a collection of open-source software tools and libraries that helps developers create and reuse code for robotics applications. The influx of AI adds a layer of complexity to the ROS but makes it even more valuable if implemented correctly. Our experts in this session will explain when and where ROS should be deployed, and show what other options are available and where they make more sense.
The Robot Operating System (ROS) is a collection of open-source software tools and libraries that helps developers create and reuse code for robotics applications. The influx of AI adds a layer of complexity to the ROS but makes it even more valuable if implemented correctly. Our experts in this session will explain when and where ROS should be deployed, and show what other options are available and where they make more sense.
Executive Vice-President, Brand Director, Embedded Franchise, OpenSystems Media
