Deploying AI at the Edge

An Industrial Success Case

AI and Industrial - 
The Journey to Higher Performance

Industry experts discuss how to leverage edge compute infrastructure with AI/ML capabilities in this on-demand webinar. Insights include:

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Watch the on-demand webinar

“For the burgeoning market for video and computer vision edge applications, SiMa.ai is uniquely positioned to overcome one of the biggest hurdles to enabling AI and ML at remote locations.”

- IDC, IDC Innovators: AI/ML at the Edge, Doc #US51793824, January 2024

Learn how you can rapidly deploy intelligent systems and accelerate ML pipelines with increased industrial performance, privacy and scalability. 

Business value of embracing AI/ML across industrial manufacturing processes

Latency, power, cost and privacy benefits of deploying AI/ML systems  at the edge vs. in the cloud

How SiMa allows you get started with AI at the edge – securely and with lower TCO

Meet Our Speakers

Elizabeth offers more than two decades of leadership roles across business development, product management, and go-to-market strategy functions for the software and hardware industry. Her collective industry background and knowledge includes tenures at Amazon Web Services (AWS), Accenture, and more as she accelerates SiMa.ai's mission to revolutionize the edge computing landscape with artificial intelligence and machine learning.

Karim is an AI Solutions Architect, specializing in AI Applications for the Industrial Edge, Robotics and Automotive. He pairs deep technical domain expertise with an end user point of view to help industrial customers gain competitive advantage by utilizing AI/ML for predictive maintenance, quality inspection, and process optimization. Karim is well steeped in the challenges that industrial manufacturers face in adopting and implementing AI/ML, and is uniquely suited to help customers unlock business transformation through the deployment of the SiMa.ai MLSoC in their embedded edge environments.

Elizabeth Samara-Rubio
Chief Business Officer, SiMa.ai 

Karim Guirguis
AI Solution Architect, SiMa.ai

  • Meet high-performance requirements with significant energy efficiency at the edge 
  • Ensure data privacy and security 
  • Reduce TCO