Webinar: Secure Edge AI Updates

Webinar: Secure Edge AI Updates
Protected ML Model Deployment in Practice 

With the increased adoption of AI-powered embedded systems, ensuring secure, robust, and reliable updates for Machine Learning (ML) models is becoming a growing challenge. This webinar explores the key security risks in deploying AI applications, specifically ML models on embedded (edge) devices, and highlights best practices for implementing a secure MLOps update process. Discover key security measures for AI edge systems. Experience secure ML deployment in action with a live demo of aicas’ and Swissbit’s AI update solution, demonstrating how to minimize systems’ downtime and to protect sensitive data

Why Attend?

✔ Minimize Downtime & Protect Data – Hear about the benefits of seamless, secure ML model updates while safeguarding sensitive information.

✔ Mitigate Security Risks – Learn how to protect AI edge systems from unauthorized access, tampering, and cyberattacks. 

✔ Industry-Specific Insights – Gain tailored insights for technical leaders and experts in IIoT, industrial automation, mobility, and automotive sectors managing AI systems on edge devices or vehicles that require secure remote updates. 

✔ Live Demo & Expert Guidance – Experience the AI update solution in action and engage directly with technical experts from aicas and Swissbit. 

This webinar is free of charge for all participants!

Date & Time

(5:00 PM CEST / 8:00 AM PDT / 9:00 AM MDT / 10:00 AM CDT)

Confirmed Speakers

Michael Reimann
Lead Architect
Product & Solution Architecture
aicas

Roland Marx
Senior Product Manager
Embedded IoT Solutions & Security
Swissbit