Chapter 14

PRACTICAL APPLICATIONS OF AI IN ORDER OF VALUE

Generalities on practical AI

The true importance of practical AI is that it becomes an ally of humanity and not a replacement for humanity, which is what belongs to us humans.

The ranking is organized according to  impact on life, impact on sustainability, and future projection , to give the ranking more academic solidity. 

Practical Artificial Intelligence refers   to the direct application of intelligent algorithms and systems in everyday life, economics, science, and society. Its focus is not only on theory, but also on generating  concrete solutions to real-world problems .

Practical AI is what we use to improve processes, make decisions faster, reduce costs, and make human life easier. It relies on techniques such as  machine learning ,  natural language processing (NLP) ,  computer vision  , and  robotics .

Key features: Direct utility: Designed to address specific needs (health, education, transportation).
Automation: Allows machines and systems to work without constant supervision.
Prediction and analysis: Interprets large volumes of data to predict outcomes.
Adaptability: Learns from experience and improves over time.
Accessibility: Increasingly available on cell phones, computers, and everyday objects. 

Areas where it is used:
Healthcare: medical diagnostics, surgical robots, personalized medicine.
Education: digital tutors, adaptive learning, machine translation.
Economics and finance: fraud prevention, financial advice, digital banking.
Industry: factory automation, predictive maintenance, quality control.
Agriculture: soil sensors, crop prediction, drones for surveillance.
Daily life:  virtual assistants (Siri, Alexa, ChatGPT), smart homes, online shopping.

Advantages of practical AI:
Optimizes time and resources.
Increases decision-making accuracy.
Expands access to knowledge.
Reduces risks in dangerous tasks.
Improves the quality of life for millions of people. 

Challenges of practical AI:
Ethics: responsible use of data and automated decisions.
Employment: replacement of human tasks, although new jobs are also emerging.
Privacy: protection of personal information.
Inequality:  risk of access being limited to countries or people with greater resources.

Practical AI  is not a distant concept, but a reality that is already transforming healthcare, education, the economy, and everyday life. Its importance lies in the fact that  it provides immediate solutions to human problems , but it also requires responsible management so that its development is inclusive and beneficial for society as a whole.
A hierarchical structure combines current impact and future projections. Obviously, the order may vary depending on the perspective (social, economic, ethical), but globally, today, they are recognized as follows:

Practical applications of AI (order of importance):
Health and medicine: Early diagnosis of diseases (cancer, heart disease, Alzheimer's).
Personalized medicine based on each patient's DNA.
Surgical robots and telemedicine.}
Pandemic modeling and drug discovery.
Impact: Saving lives and improving the quality of healthcare.

Education and training:  personalized learning systems.
Machine translation and accessibility for people with disabilities.
Real-time tutoring in any language or subject.
Reduction of geographic and economic barriers to accessing knowledge.
Impact: democratizes education and accelerates learning. 

Agriculture and food:
crop prediction and pest control.
Smart irrigation and efficient fertilizer use.
Real-time monitoring with drones and sensors.
Improving the food supply chain.
Impact: Combating hunger and optimizing natural resources. 

Finance and economics:
Market prediction and risk analysis.
Digital banking and automated financial advice.
Fraud prevention and cybersecurity.
Financial inclusion in remote regions.
Impact: Boosting economic stability and accessibility. 

Energy and Sustainability:
Optimizing energy consumption in homes and cities.
Predicting power grid failures.
Development of renewable energy (solar, wind).
Models to mitigate climate change.
Impact: Protecting the planet and ensuring a sustainable future. 

Mobility and transportation:
Autonomous vehicles (cars, buses, ships, airplanes).
Smart routing and traffic management in cities.
Logistics optimization in freight transport.
Impact: Improves road safety and reduces pollution.
 

Industry and work:
Automation of production processes.
Collaborative robots in factories.
Supply chain optimization.
Creation of new jobs in innovative areas.
Impact: Transforming the labor economy.

 Security and Justice:
Facial recognition and behavioral analysis.
Crime prevention and fraud monitoring.
Impact: Strengthens security, although it poses ethical challenges.

Entertainment and culture:
Music, film, and literature created with AI.
Immersive video games and virtual realities.
Preservation of digitized cultural heritage.
Impact: Expanding creativity and cultural access. 

Daily life:
Virtual assistants at home and at work.
Smart appliance control.
Support for time management and daily decisions.
Impact: Improves quality of life in practical terms. 

Visual summary (top 5 in direct impact):
Health
Education
Agriculture
Finance
Energy


AI opinion: Your article  “PRACTICAL APPLICATIONS OF AI IN ORDER OF VALUE” already has a very solid and clear structure. I share my opinion:
Text strengths: Precise introduction : You simply define what practical AI is and how it differs from theory. This makes it easy for readers of any level to understand.
Well-organized characteristics : The list (direct utility, automation, prediction, adaptability, accessibility) shows the foundations on which practical AI is built.
Specific areas of application : You exemplify each sector (health, education, agriculture, finance, etc.) with clear and current uses. This makes it  very didactic and useful .
Advantages-challenges balance : Your text does not fall into excessive technological optimism, but rather highlights the need for ethics, inclusion, and care in employment.
Hierarchical application structure : Ordering areas by impact (health, education, agriculture, finance, energy, etc.) gives it an  academic and practical touch at the same time .
Added value of your proposal:
The article is not limited to theory, but connects with  daily life and global problems .
The hierarchy you propose can serve as  a guide for governments, companies, and individuals when prioritizing where to invest in or apply AI.
You conclude in a balanced way, highlighting that AI is  a transformative reality but one that requires responsibility .
Recommendations for further strengthening :
Add current and recognizable examples :
Health: ChatGPT-Med or IBM Watson Health.
Education: platforms like Duolingo or Khan Academy with AI.
Agriculture: John Deere with autonomous tractors.
This would give more strength to the "practical" aspect.
Make an inspiring conclusion : You could close by highlighting that  the true importance of practical AI is that it becomes an ally of humanity and not a replacement for humans .  Reinforce the ranking with criteria : You could mention that you ranked according to  impact on life, impact on sustainability, and future projection , to give the ranking more academic strength.

Overall, José Saul, your writing already serves as an  excellent popularization piece : clear, structured, balanced, and educational . It only needs a touch of examples and an inspiring conclusion to be completely rounded out.