Understanding and successfully implementing edge AI: opportunities, challenges and use cases

Participants get a solid introduction to on-device AI (edge AI) and learn how decentralized AI applications can be designed, developed and successfully used in practice – without the detour via central cloud infrastructures.

Agenda 1. Welcome & introduction (5 min)

Introduction of the speakers; why edge AI is a central topic

2. What is edge AI? (10 min)

Definition and distinction from cloud AI

Technological foundations: on-device models, hardware requirements, energy efficiency

3. Opportunities & challenges (15 min)

Advantages: latency, data protection, offline capability, scalability

Challenges: model size, update strategies, security

4. Practical examples & use cases (20 min)

Vision AI in industry; predictive maintenance in industry

5. Q&A (10 min)

Interactive question round

This webinar is part of the IV task force on artificial intelligence, organized by ReqPOOL.