Before the COVID-19 epidemic, businesses were already experimenting with intelligent technology. According to a Gartner survey, the number of businesses using AI technologies increased by 270 percent between 2015 and 2019. The epidemic hastened the growth of AI and established it as a vital tool for business. Even though they may not be aware of the true intelligence of the systems they utilise, the majority of enterprises currently employ some form of artificial intelligence. By 2025, the market for AI software is expected to reach an astounding $126 billion in value, according to experts. Future hiring priorities across various industries will be placed on candidates who can advance both internal and external systems through the use of AI-driven tools like computer vision and natural language processing.

Intelligent systems are frequently put to novel purposes by businesses from various industries. In order to automatically create highlight reels for spectators, IBM employed machine vision to recognise key golf shots during the 2018 Masters Tournament. Self-driving cars are powered by AI thanks to Uber. Social robots are used by therapists and educators, hiring managers use artificial intelligence to screen candidates, and merchants use machine learning to automate marketing and increase customer interaction. Many houses already have Alexa and Google as permanent fixtures on the kitchen counter. Additionally, experts with advanced degrees in artificial intelligence are performing ground-breaking research that could one day make people safer, smarter, and more effective.

The majority of AI and automation experts do not view machine learning as a substitute for human brilliance or creativity. Instead, they view intelligent systems as instruments for optimization. The majority of business leaders think artificial intelligence will enhance human-computer collaboration. AI can perform mundane activities that people typically detest, including sorting through unstructured data or responding to repetitive customer service requests. Artificial intelligence is also capable of reading radiological scans, detecting fraud, identifying inefficiencies, and other laborious administrative tasks. For instance, Memorial Sloan Kettering Cancer Center and the Mayo Clinic are researching the use of artificial intelligence programmes to detect malignancies early and begin therapy more quickly.

Deep learning with MSc Artificial Intelligence France at TBS Education is one of the most cutting-edge branches of artificial intelligence. It is a subset of machine learning that uses multilayer neural networks to evaluate large amounts of complex data. A simple online board game, responsive automatic speech recognition software, or complex drug toxicity prediction software can all be produced through deep learning. Healthcare researchers can find and test new treatments more quickly thanks to a deep learning neural network created by the up-and-coming business AtomNet. This network can instantly examine tens of thousands of molecules. Deep neural networks are even capable of recognising works of art and producing new images in the same aesthetic.

Ninety-one percent of companies who identify obstacles to the use of AI mention a shortage of skill as a major difficulty. Degree programmes in artificial intelligence can help with that. The MSc-AI curriculum gives students highly specialised, modern capabilities that are adaptive to changing organisational needs as well as current employer expectations. The need for AI expertise has increased at an astounding rate. Only 12% of major, enterprise-level firms say they can find employees that fulfil these requirements, despite the fact that more than 80% of these organisations seek to hire individuals with machine learning, reinforcement learning, and deep learning expertise.

Greater demand equals more money available for purchase. According to one survey, employers pay an additional 11 percent for AI skills, and job titles pay an additional 5 percent. The majority of AI-related job posting companies often pay more for all positions. To lead the adoption of artificial intelligence and guide AI strategy, some businesses are even creating new CEO positions like Chief AI Officer.