When we hear about artificial intelligence (AI), text generation, image creation or chatbots most often come to mind. However, neural networks have long gone beyond digital content and are quietly revolutionizing the most seemingly conservative and unexpected professions.
Restorer in tandem with algorithm
The restoration of cultural objects – a process that used to require hundreds of hours of painstaking manual labor – today can be significantly accelerated. MIT graduate student Alex Kachkin used AI to create a digital copy of the damaged 15th century painting, painting the lost fragments and printing them on thin film without affecting the original.
The task, which would have previously taken at least 200 hours, was completed in three hours. In the future, technology will help save thousands of artifacts that have been gathering dust in storerooms for decades due to lack of resources for restoration. A modern restorer is not only a chemist and an artist, but also a specialist capable of working in symbiosis with algorithms that analyze the structure of the paint layer, predict material shrinkage and offer solutions.
Insurance agent of the future
The insurance agent is another example of a profession where AI is a game changer. Modern neural networks are able to assess damage from photographs, recognize documents and convert their data into text for automatic tariff calculation. Paper questionnaires are replaced by chat bots and voice assistants who conduct a dialogue with the client in natural language, specifying details and issuing a policy.
Moreover, algorithms learn to work with incomplete data, assessing risks even where historical statistics are scarce. This speeds up processes and minimizes human error. The specialist can only control the results of the AI and correctly interpret them for the client.
Mechanic with digital hearing
In a car service, neural networks become an indispensable assistant to a mechanic. The AI is able to analyze engine sounds, recognizing characteristic anomalies that the human ear may miss, or process error codes, suggesting the most likely causes of malfunction. AI helps with planning repairs and even predicts the load of the service. A mechanic who knows how to work with such systems is one step ahead, since he diagnoses faster and more accurately than competitors.
Neural networks as a new tool for a farmer
Traditional areas such as agriculture do not stand aside either. Here, neural networks analyze satellite images of fields, identifying in the early stages of plant disease, nutrient deficiencies in the soil or foci of pest spread. Algorithms are able to predict crop yield, optimize the irrigation schedule and even control equipment for targeted fertilization. A farmer armed with such tools makes decisions based on accurate data, leading to significant resource savings and efficiency gains.
When the guest is the center of the digital universe
AI has applications even in the hotel business. Algorithms manage dynamic pricing, analyze guest reviews and preferences to offer personalized services. Chatbots respond to standard requests around the clock, freeing up staff time for more complex tasks. Smart systems monitor energy consumption, increasing environmental friendliness and reducing costs.
Thus, neuro-literacy ceases to be the lot of IT specialists. It becomes a mandatory component of professional competence in various fields.
By Petr Derevensky, entrepreneur, expert on the use of neural networks in business and marketing