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!
Confirmed Speakers
Michael Reimann
Lead Architect
Product & Solution Architecture
aicas
Roland Marx
Senior Product Manager
Embedded IoT Solutions & Security
Swissbit