What can we use AI for?
AI has been used in areas as diverse as robotics, computing, finance, healthcare, autonomous transportation systems, gaming and telecommunications.
In these environments, computer systems are capable of processing important sets of data, allowing them to recognize and interpret verbal and visual signals, calculate and execute complex tasks in an accelerated manner.
These systems are designed to sense and interact with the external environment, and to carry out a given objective through extensive data acquisition and analysis.
In other words, it is the use of technology to solve market-related problems.
Examples of AI
Chatbots take advantage of artificial intelligence to speed up the process of understanding user queries and provide more effective responses.
Intelligent assistants leverage AI to extract key information from extensive unstructured data sets to improve programming.
Recommendation engines can generate automatic suggestions for TV shows based on consumer preferences.
Although artificial intelligence has been described in the media as a potential threat to humans, its purpose is not to replace them.
Rather, it is considered a way to increase human capabilities, making it an invaluable asset for companies.
Real applications of AI by sectors
Personal application
Offers assistance for personal use of smartphones, tablets and computers
Computer application
AI guarantees us cybersecurity
Productive application and manufacturing
The development of artificial intelligence has been one of the main focuses of attention in the field of robotics.
Industrial robots were originally designed to perform specific tasks independently of human workers.
However, due to technological advances, the roles of human and robotic employees have become increasingly intertwined.
Financial application
The integration of artificial intelligence improves the speed, precision and effectiveness of human work.
Financial institutions can use artificial intelligence technology to distinguish potentially fraudulent transactions, streamline and refine credit evaluation processes, and automate complex data management activities.
Climate application
Reduce deforestation and energy consumption to mitigate climate change.
Healthcare application
The identification of genetic factors that can predict the onset of diseases is a primary issue in health care.
Artificial intelligence applications can be used to provide personalized medical care to patients, as well as automated X-ray readings.
Additionally, personal health assistants can help remind people to maintain their pill intake, physical activity, and eating habits.
The use of artificial intelligence in healthcare has the potential to dramatically improve patient outcomes and minimize expenses. By implementing machine learning, companies are able to offer more accurate and efficient diagnoses than those performed by humans.
IBM Watson, famous for its prowess in healthcare technology, is capable of understanding natural language and responding to queries.
Using patient information and other relevant data, Watson generates hypotheses, accompanied by a confidence rating scale.
AI applications extend to chatbot programs, which are used online to provide assistance and respond to inquiries, as well as schedule follow-up appointments and guide patients through billing procedures.
Virtual healthcare assistants are also used to provide basic medical advice.
Application in transportation
Production of autonomous and intelligent vehicles for transportation.
Agricultural application
Anticipating environmental impact and improving agricultural productivity are two key objectives
Commercial application
Sales and income forecast.
Artificial intelligence can facilitate virtual shopping experiences with personalized suggestions and help customers analyze their purchasing decisions.
Additionally, AI can be used to improve website design and inventory management efficiency.
Application in business
Companies are using artificial intelligence to improve their operations by implementing Robotic Process Automation (RPA) for tasks traditionally performed by human workers.
Additionally, machine learning algorithms are being incorporated into CRM and analytics systems to gain insights into how to better meet customer needs.
On the other hand, the integration of chatbot technology into websites to offer customers more immediate service has become a hot topic among academics and IT professionals, such as Gartner and Forrester, in relation to work automation. .
Application in finance
The integration of artificial intelligence into personal finance apps is revolutionizing the financial services sector.
These apps collect individual data and offer financial guidance, changing the way people manage their money.
Other applications have been used in residential real estate transactions.
Today, a substantial portion of trading activities on Wall Street are conducted using automated systems.
Application in the legal field
The use of artificial intelligence in the legal field can significantly reduce the stress of document review within the discovery and review process.
Automating this process is a more efficient approach and can optimize the time spent on these tasks.
The emerging companies are developing AI-enabled assistants that can answer predetermined questions by analyzing the associated taxonomy and ontology stored in a database.
Application in the educational field
The integration of artificial intelligence in the field of education can revolutionize the way students are taught and evaluated. Automated grading systems could give educators more time to spend with their students.
Additionally, AI could be used to assess student progress and tailor teaching to each student's needs and abilities, allowing for a more personalized learning experience.
Gifted AI tutors could provide additional guidance and support to ensure students stay on track.
Additionally, AI could dramatically change the landscape of traditional education, potentially even supplanting some roles previously performed by teachers.