it is describe how to use the business inelegance in business

1. By Hosam Dahb
Artificial Intelligence Technologies
in Business
29-Jan-2012

2. Do You Know?
What is
artificial
intelligence?
Commercial
Applications
of AI
Expert Systems
and Fuzzy Logic

3. Artificial Intelligence
is a field of science and technology based on
disciplines such as computer science, biology,
psychology, mathematics, and engineering.
The goal of AI is to develop computers that can
simulate the ability to think, as well as see, hear,
walk, talk, and feel

4. Attributes of
Intelligent Behavior
Think and reason.
Use reason to solve problems.
Learn or understand from
experience.
Acquire and apply knowledge.
Express creativity and imagination.
Deal with complex situations.
Respond quickly and successfully to
new situations.
Recognize the relative importance of
elements in a situation.
Handle ambiguous and incomplete
information.

5. COMMERCIAL
APPLICATIONS OF AI
AI systems can perform useful work in a very
large and complex world Because these small
software agents don’t have a complete
representation of the world, they are
uncertain about their actions.
So they learn to understand the probabilities
of various things happening to be self-aware.”

6. Commercial
Applications of AI
 Decision Support
• Intelligent human–computer interface (HCI)
• Situation assessment and resource allocation
software
 Information Retrieval
• AI-based intranet and Internet systems
• Database mining for marketing trend analysis,
financial forecasting, maintenance cost
reduction, and more.
 Virtual Reality
• Automated animation interfaces that allow users
to interact with virtual objects via touch (e.g.,
medical students can “feel” what it’s like to
suture severed aortas).
 Robotics
• Cutting-edge robotics systems, from microrobots
and hands and legs to cognitive robotic and
trainable modular vision systems.

7. Expert Systems & Fuzzy
Logic Systems

8. » is a knowledge-based information system that uses its knowledge about a specific,
complex application area to act as an expert consultant to end users.
» Benefits, it helps preserve and reproduce the knowledge of experts and allows a
company to preserve the expertise of an expert before he leaves the organization.
» Limitations, limited focus, inability to learn, maintenance problems, and developmental
cost. Expert systems excel only in solving specific types of problems in a limited domain
of knowledge.
» Categories, Decision Management, Diagnostic/Troubleshooting, Design/Configuration,
Selection/Classification and Process Monitoring/Control.
Expert Systems

9. Expert Systems

10. » is a method of reasoning that resembles human reasoning, in that it allows for
approximate values and inferences and incomplete or ambiguous data instead of relying
only on crisp data , such as binary (yes/no) choices.
Fuzzy Logic Systems

11. ? Questions