AIconomics: Artificial intelligence in economic sectors

In the administrative sector, AI already automates tasks such as data entry and management, basic accounting and financial reporting, meeting scheduling and agenda management, and automated responses to emails or requests for assistance. While AI input produces improved efficiency and reduced human error, this sector will suffer over time as roles such as secretaries, administrative…

Before the advent of AI, robots were automata that executed a predetermined set of coded instructions, and their limited performance was sufficient in repetitive tasks such as industrial production. With AI technology, robotic systems are becoming more and more autonomous and able to respond to changes in their surroundings by learning from them, thus being…

In the hospitality industry, artificial intelligence is being used to reduce repetitive tasks, analyze trends, interact with guests and predict customer needs. Machine translation is already a killer application in tourism hospitality environments, thanks to devices that can be worn by operators and tourists themselves. Artificial intelligence-based hotel services come in the form of chatbots,…

AI algorithms have long been widely used by global digital platforms (ex: Youtube or Amazon) to manage recommendation systems and personalized advertising campaigns based on a users’ previous behavior. Artificial intelligence is used to target Web advertisements to those most likely to click on them or interact with them. It is also adopted to increase…

Artificial intelligence is already being used in health care to classify symptoms, to evaluate a CT scan or electrocardiogram, or to identify high-risk patients using big data. For some disorders, artificial intelligence algorithms can aid diagnosis, identify recommended treatments, predict therapeutic outcomes or contraindications, and through telemedicine devices monitor a patient’s progress. Moreover, privacy issues…

Self-driving cars are a revolutionary challenge that will impact the entire automotive and transportation industry in general. At present, there are fully autonomous driving solutions that are reliable only under certain conditions. There are still ethical and legal problems to be resolved in the event of an accident, when dramatic choices have to be made…

Regarding the broad topic of the environment, the application of AI technologies is useful in a variety of areas, from climate change prediction, to waste management, to biodiversity conservation; machine learning can then be used to detect premonitory signs of environmental disasters and problems, including natural pandemics, earthquakes, landslides, heavy rainfall, long-term reliability of water…

AI technologies are being applied in the energy field for energy waste reduction, renewable energy integration, and grid monitoring. In this field, machine learning can be effeciently used for energy consumption forecasting and planning, for example, to optimize renewable energy intermittency management strategies. The complexity of the energy transition, which has technological, social, environmental, economic,…

In agriculture, artificial intelligence, connected to IoT sensors (which connect objects to the Internet), supports farmers in identifying areas in need of irrigation by monitoring temperature, moisture or soil conditions such as nutrient levels; the data collected also provides useful indications for fertilization or pesticide treatments and helps the farmer to maintain optimal conditions for…