Visual Inspection Projects: Why Conditions Matter More Than Models
Most computer vision inspection problems are solved, or doomed, by lighting, camera placement and data collection long before model architecture is chosen.
Insight topic
Emerging Technologies insights
IoT, edge AI, digital twins and how to assess new technology with discipline. Articles in this topic are written for leaders and practitioners who need practical, evidence-based guidance.
2 articles in Emerging Technologies
Edge or Cloud? Deciding Where AI Inference Should Run
Latency, connectivity, privacy, model size and fleet management all pull the decision in different directions. A structured way to weigh them.
Topic guide
Understanding emerging technologies
Emerging technologies such as edge AI, IoT, digital twins and multimodal models create new possibilities and new trade-offs. Articles here offer structured ways to evaluate them against real operating needs.
FAQ
Key questions about emerging technologies
How should organisations assess emerging technology?
Against specific use cases, considering maturity, data and integration needs, total cost, risk and how easily the decision could be reversed.
When does edge computing make sense for AI?
When decisions need very low latency, connectivity is unreliable, raw data is sensitive or large, and models can run on the available hardware.
How is a technology radar kept useful?
By reviewing it against business priorities at a regular interval, often every six months, recording the reasoning for each position and updating positions when trials or market changes provide new evidence.
Related
Services related to emerging technologies
Where these ideas are put into practice.
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