Expert system in artificial intelligence complex expertise ppt powerpoint presentation slides

Description:

The image is a PowerPoint slide titled "Expert System in Artificial Intelligence." It visually represents the structure and workflow of an expert system in AI. An expert system is a computer program that simulates the judgment and behavior of a human or an organization that has expert knowledge and experience in a particular field.

The slide illustrates four key components of an expert system:

1. Human Expert: 

This is the individual with domain-specific knowledge who contributes to building the expert system.

2. Knowledge Engineer: 

A specialist who translates the human expert's knowledge into a computer-readable format to be used by the expert system.

3. Knowledge Base: 

This is the collection of specialized knowledge and rules that are used to make decisions within the expert system.

4. Inference Engine: 

The processing center of the expert system, which applies logical rules to the knowledge base to deduce new information or make decisions.

5. User Interface: 

The means through which users interact with the expert system, which doesn't require the user to be an expert in the domain.

The slide also includes a statement below the diagram that reads: "The Expert System in AI are computer applications. Also, with the assistance of this development, we will solve complex problems. it's level of human intelligence and expertise."

Use Cases:

Such slides can be used across various industries for different purposes:

1. Healthcare:

Use: To explain decision-support systems in diagnostics.

Presenter: Healthcare IT Specialist.

Audience: Medical professionals, healthcare administrators.

2. Finance:

Use: Describing AI systems for risk assessment and fraud detection.

Presenter: Financial Analyst or Data Scientist.

Audience: Risk management teams, banking executives.

3. Law:

Use: Showcasing AI applications in legal research and case analysis.

Presenter: Legal Technologist.

Audience: Lawyers, paralegals, legal scholars.

4. Manufacturing:

Use: Explaining systems for optimizing production processes.

Presenter: Manufacturing Engineer.

Audience: Production managers, process engineers.

5. Education:

Use: Presenting AI systems that customize learning experiences.

Presenter: Educational Technologist.

Audience: Educators, curriculum developers.

6. Retail:

Use: Introducing AI for customer service and inventory management.

Presenter: Retail Strategist.

Audience: Retail managers, customer service teams.

7. Information Technology:

Use: Explaining AI applications in network security and system administration.

Presenter: IT Security Analyst.

Audience: IT professionals, system administrators.