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Going Beyond the Technology Industry

Artificial intelligence is spreading beyond the technology sector, with big consequences and potential for companies, workers and consumers

Artificial intelligence is spreading beyond the technology sector, with big consequences and potential for companies, workers and consumers.

“Artificial intelligence and navigation systems have advanced enough to allow for the development of autonomous or semi-autonomous robots that are able to perform tasks on our behalf without constant supervision.” - Forbes

Robotics and AI is spreading far beyond the constraints of the technology sector. Every industry is forecast to increase the implementation of urOS (Robot Operating Systems) within the next 5 years, with healthcare set to lead this revolution by incorporating the latest technologies for diagnosis and treatment.

The energy sector has also begun to utilise AI to protect against cyberthreats and hackers. However, it has only been implemented by the industry giants as many SMEs do not have the resources to hire and train those needed to maintain the cyberdefenses.

Another unsuspecting industry beginning to see the benefits of AI is the fashion industry. With more people shopping online than ever before due to the coronavirus pandemic, the industry is looking as ways to detect changes in shopping patterns and improve overall shopping. experiences.

Likewise, the travel industry is trying to predict shopping habits. Sabre Travel AI is a new system that capitalizes on Google Cloud AI solutions and automated machine learning tools that sense, analyze and predict consumer behaviors – using real-time shopping information and sophisticated travel-specific business insights.

Artificial intelligence has recently been successful in the environmental science sector. Scientists successfully mapped 1.8 billion individual tree canopies across millions of kilometres of the Sahel and Sahara regions of West Africa using satellites.

Researchers analysed a huge database of satellite images using artificial intelligence. They employed neural networks which are able to recognise objects, like trees, based on their shapes and colours. It is the first time ever that trees have been mapped in detail over such a large area. There is only expectations for increased usage of AI systems as they become more accessible and affordable for a wider range of organisations.

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