Advisor specialty
Edge AI Engineer
Runs inspection and prediction models on the equipment itself, where the cloud is too slow.
This describes a type of expertise, not a specific person. Ask us and we will tell you who in our network fits your initiative.
Problems solved
- Manual inspection misses defects and does not scale: consistent automated inspection on the line.
- Some decisions must happen at the machine, not in the cloud: analytics and AI running at the edge.
Typical deliverables
- Hands-on build, tested and handed over to your team
- Platforms
- Microsoft Azure, Amazon Web Services
- Examples only. Not every specialist uses every platform.
- Engagement type
- Implementation
- Selection criteria
- Suggested: 5 to 8 years of relevant hands-on experience.
- A guideline, not proof of seniority.