This white paper maps the journey from data discovery to implementing AI and computer vision models for urban use cases to gain customised insights.

The emergence of game-changing tools in the mainstream such as natural language processing (NLP) and multimodal large language models (LLM), AI-powered digital twins, convolutional neural networks (CNN) and more is democratising the use of artificial intelligence.
What was once cost-prohibitive to all but the largest governments and enterprises is now accessible to cities, municipalities and organisations of all sizes. Outcomes that once required a team of highly skilled technical people, including specialised system integrators, data scientists, DevOps professionals and more, can now be achieved in a far more cost-efficient and effective way.
Cities need to learn how they can turn AI to their advantage. The AI journey can seem like a daunting one but this SmartCitiesWorld white paper, produced in association with Dell Technologies and NVIDIA, maps the end-to-end journey from data discovery to implementing complex AI models that can provide customised insight. It puts forward a blueprint for cities to use AI to become smarter and more liveable by taking an outcomes-focused approach.
By reading this white paper, you will learn:
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