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!