- Artificial Intelligence Tutorial
- AI - Home
- AI - Overview
- AI - History & Evolution
- AI - Types
- AI - Terminology
- AI - Tools & Frameworks
- AI - Applications
- AI - Real Life Examples
- AI - Ethics & Bias
- AI - Challenges
- Branches in AI
- AI - Research Areas
- AI - Machine Learning
- AI - Natural Language Processing
- AI - Computer Vision
- AI - Robotics
- AI - Fuzzy Logic Systems
- AI - Neural Networks
- AI - Evolutionary Computation
- AI - Swarm Intelligence
- AI - Cognitive Computing
- Intelligent Systems in AI
- AI - Intelligent Systems
- AI - Components of Intelligent Systems
- AI - Types of Intelligent Systems
- Agents & Environment
- AI - Agents and Environments
- Problem Solving in AI
- AI - Popular Search Algorithms
- AI - Constraint Satisfaction
- AI - Constraint Satisfaction Problem
- AI - Formal Representation of CSPs
- AI - Types of CSPs
- AI - Methods for Solving CSPs
- AI - Real-World Examples of CSPs
- Knowledge in AI
- AI - Knowledge Based Agent
- AI - Knowledge Representation
- AI - Knowledge Representation Techniques
- AI - Propositional Logic
- AI - Rules of Inference
- AI - First-order Logic
- AI - Inference Rules in First Order Logic
- AI - Knowledge Engineering in FOL
- AI - Unification in First Order Logic (FOL)
- AI - Resolution in First Order Logic (FOL)
- AI - Forward Chaining and backward chaining
- AI - Backward Chaining vs Forward Chaining
- Expert Systems in AI
- AI - Expert Systems
- AI - Applications of Expert Systems
- AI - Advantages & Limitations of Expert Systems
- AI - Applications
- AI - Predictive Analytics
- AI - Personalized Customer Experiences
- AI - Manufacturing Industry
- AI - Healthcare Breakthroughs
- AI - Decision Making
- AI - Business
- AI - Banking
- AI - Autonomous Vehicles
- AI - Automotive Industry
- AI - Data Analytics
- AI - Marketing
Artificial Intelligence - AI - Applications of Expert Systems
Expert systems are artificial intelligence (AI)-based computer programs created to simulate human decision-making in particular domains. They provide responses based on specific information, rational principles, and reasoning, which lowers human error and boosts output. Many industries, including finance, healthcare, and manufacturing, rely heavily on expert systems.
Following are few applications of Expert Systems in artificial intelligence −
Expert System in Medical Domain
Expert systems utilize test results, medical history, and symptoms to assist healthcare professionals in diagnosing illnesses. They are especially beneficial in complex cases and can provide treatment suggestions.
One of the first expert systems created to identify bacterial infections and recommend antibiotics was MYCIN. Nowadays, advanced systems such as IBM Watson Health analyze data from cancer patients to offer tailored treatment options.
Financial Analysis
Banks and other financial institutions apply expert systems to credit risk assessment, fraud detection, and investment advice. The systems analyze huge quantities of financial information in order to help make decisions.
For example, banks use FICO scores to determine the credit history and loan eligibility of a borrower. Systems for preventing fraud at Visa and PayPal look for trends in transactions in order to detect and prevent suspicious behavior.
Manufacturing and Process Control
By monitoring equipment, predicting failures, and enhancing production efficiency, expert systems significantly boost industrial performance. They support resource management and assist in making quality control decisions.
For instance, Digital Equipment Corporation benefited from XCON (Expert Configurer) in effectively configuring computer systems. To avoid failures, modern AI-driven expert systems identify mechanical faults in various industries.
Systems for Legal Advice
These systems offer contract analysis, legal guidance, and compliance verification. By examining extensive legal datasets, they support lawyers in conducting case research and ensuring regulatory compilance.
For instance, ROSS Intelligence utilized AI to perform case research and suggest arguments. Businesses can evaluate contracts for potential risks and compliance issues through automated contract analysis software.
Customer Support and Help
AI-driven expert systems at workstations address customer inquiries, resolve technical problems, and deliver automated assistance. They alleviate the workload on human agents and enhance response times.
For example, chatbots employed by companies like Google and Amazon provide rapid answers to customer questions. Telecom firms use virtual assistants to identify network problems and offer solutions.
Cybersecurity and Fraud Detection
Through analysis of trends and suspicious activity, anti-fraud and cybersecurity expert systems are critical in identifying security threats and preventing fraud. They significantly enhance cybersecurity efforts through real-time risk identification.
For instance, IBM QRadar closely monitors network traffic to identify potential threats. Similarly, fraud prevention systems at banks monitor transactions to prevent illegal behavior.
Agriculture domain
AI-powered expert systems assist farmers by giving them information on how to control pests, keep soil healthy, and optimize agricultural production. This approach maximizes output and minimizes losses.
A great example of this is the Decision Support System for Agrotechnology Transfer (DSSAT), which assists farmers in selecting the optimal crops based on weather and soil conditions. AI-based analysis is also employed by smart irrigation systems to optimize water usage.
Education and Training
Expert systems assist in tutoring, grade automatically, and provide customized learning suggestions. Depending on their performance, they give students individualized learning paths.
For example, Coursera and Khan Academy employ AI to suggest courses based on student performance. Automated tutoring software assists students by providing practice problems and explanations.
The following table shows where ES can be applied.
| Application | Description |
|---|---|
| Design Domain | Camera lens design, automobile design. |
| Medical Domain | Diagnosis Systems to deduce cause of disease from observed data, conduction medical operations on humans. |
| Monitoring Systems | Comparing data continuously with observed system or with prescribed behavior such as leakage monitoring in long petroleum pipeline. |
| Process Control Systems | Controlling a physical process based on monitoring. |
| Knowledge Domain | Finding out faults in vehicles, computers. |
| Finance/Commerce | Detection of possible fraud, suspicious transactions, stock market trading, Airline scheduling, cargo scheduling. |