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…
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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…
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,…
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 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…
UNESCO recognizes the future of AI in education as a tool for achieving Sustainable Development Goal 4, called “Inclusive and Equitable Quality Education,” but also warns about the possible risks of irresponsible use of AI in schools. The explicability of AI is particularly relevant in education, a principle expressed by the European Commission, which involves…
The impact of AI in the software development industry can already be felt. Technological progress makes it difficult to predict the evolution of the professions involved in this field, even in the short term: roles such as the prompt engineer, which were considered promising, are already in decline because of AI’s ability to generate prompts…
The impact of AI on various economic sectors is not easy to predict, due to the speed with which technology is evolving and political and social reactions. We propose a reasoned summary of the impact of AI in different economic and professional sectors, at present and as envisioned for the near future, without claiming to…
Artificial intelligence can also be divided into different types based on how it itself learns and adapts to problems: 1. Symbolic AI (Rule-based) 2. Machine Learning (Learning from Data) 3. Deep Learning (Complex Neural Networks) 4. Generative AI (LLM and Content Creation) Each category of AI has its own strengths and weaknesses:
In business, it makes more sense to speak in the plural of specialized “Artificial Intelligences” rather than a single AI, although for most users their first experience was with the popular form of generalist AI, thanks to the enourmous success of chatGPT. This is precisely why it is useful on a cultural and educational level…
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