AI Applications of Expert Systems (Full Explained)
Expert systems are advanced computer programs powered by artificial intelligence (AI) that mimic human decision-making in specialized fields. These systems deliver solutions by using stored knowledge, logical reasoning, and problem-solving strategies, ultimately reducing human errors and improving efficiency. Industries like healthcare, finance, manufacturing, and more have incorporated expert systems into their daily operations to streamline processes and support critical decisions.
Following are few applications of Expert Systems in Artificial Intelligence −
Expert System in Medical Domain
In healthcare, expert systems combine medical data such as test reports, patient history, and symptoms to help doctors diagnose illnesses and recommend suitable treatments. These systems are particularly valuable in cases that require complex decision-making or quick responses.
One early medical expert system was DENDRAL, which helped in chemical analysis for disease research. Today, platforms like PathAI assist doctors in examining biopsy samples and improving the accuracy of cancer diagnoses.
Financial Analysis
Expert systems play an important role in financial institutions by handling tasks like evaluating credit risk, detecting fraud, and providing investment suggestions. They process massive datasets to offer insights that help in making informed decisions.
For instance, Zest AI is used by lenders to assess borrower risk through alternative data points, while fraud detection tools like those used by Stripe flag suspicious payment activities in real-time.
Manufacturing and Process Control
In manufacturing, expert systems are used to monitor production lines, predict equipment breakdowns, and improve overall workflow efficiency. These systems help maintain product quality and optimize resource allocation.
A good example is Siemens’ AI-driven Predictive Maintenance system, which identifies potential machine failures before they happen. Many automotive plants also use such systems to maintain assembly line performance and reduce downtime.
Systems for Legal Advice
Expert systems in law assist with document review, compliance checks, and case research. They analyze large legal databases, helping professionals save time while ensuring thorough case preparation.
For example, Casetext’s CoCounsel helps legal teams conduct in-depth legal research and review contracts quickly. These tools also assist businesses in understanding regulatory requirements and reducing legal risks.
Customer Support and Help
Businesses increasingly rely on expert systems to manage customer queries, solve technical problems, and provide instant assistance. These systems reduce the pressure on human agents while improving response speed and customer satisfaction.
For example, Drift’s AI chatbots are widely used in customer service to answer common questions instantly. Similarly, telecom companies employ virtual assistants to troubleshoot service issues for their customers.
Cybersecurity and Fraud Detection
In cybersecurity, expert systems detect unusual activity, assess potential risks, and help protect sensitive data. By continuously analyzing patterns, they play a vital role in preventing cyber threats and fraudulent activities.
For instance, Darktrace uses AI-powered systems to monitor networks and flag suspicious activities. Banks also deploy similar systems to track real-time transactions and prevent financial crimes.
Agriculture Domain
In agriculture, expert systems provide farmers with guidance on pest management, soil health, and crop planning, improving productivity and reducing losses. These systems integrate data on climate, soil, and market trends to assist farmers in making informed decisions.
For example, CropIn’s SmartFarm uses AI to help farmers monitor crop growth and improve yields. Automated irrigation systems also employ expert systems to distribute water efficiently, reducing wastage.
Education and Training
In education, expert systems are used to personalize learning, assess student performance, and offer tailored study plans. They help educators track progress and provide immediate feedback to students.
For example, Socratic by Google offers students step-by-step help with assignments, while platforms like DreamBox create customized learning paths based on individual progress.
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, medical operations on humans. |
| Monitoring Systems | Comparing data continuously with observed system or with prescribed behavior such as leakage monitoring in long petroleum pipelines. |
| Process Control Systems | Controlling a physical process based on monitoring. |
| Knowledge Domain | Find faults in vehicles and computers. |
| Finance/Commerce | Possible fraud detection, suspicious transactions, stock market trading, airline & Cargo scheduling. |
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