Content moderation is one of the greatest challenges facing the modern internet.
Chatbots are now ubiquitous and interacting with them is becoming the norm.
The future is a place where diseases can be identified dependably by computers purely from images.
Machine learning and AI is being used to monitor animal behaviour, promote health and wellbeing and increase operational efficiencies on farms.
Applying AI to geospatial data can help build living maps at scale and analyze complex physical and environmental data.
From identifying disease in plants at scale, to finely targeted fertiliser and pesticide dispersal - AI is playing an increasingly important role in Agriculture 2.0.
Machine learning is helping brand and businesses devise complex insights into their consumers at scale.
Using AI to map faces is essential in reducing fraud and financial crime, while streamlining verification processes and even improving CGI.
Discover how AyaData is shaping the future of autonomous vehicles with innovative data solutions. Learn more about our use cases now.
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