1. INTELLIGENT SYSTEMS BUSINESS MOTIVATION
M. Gams

2. Intelligent systems IN. SOCIETY
ENGINEERING, TECHNOLOGY, BUSINESS, ECONOMY
ARTIFICIAL INTELLIGENCE

3. Properties Learning Flexibility Adaptation Explanation Discovery
Intelligent system, some AI tool

4. Intelligent systems Engineering, invisible intelligence
Practical directions, real-life problems
Verified AI methods: rule-based systems, trees, expert systems, fuzzy systems, neural networks, genetic algorithms, hybrid systems
Intelligent systems often simulate human bureaucrats, expert systems simulate experts

5. Motivation / business
People are expensive (to buy or maintain), computers cheap: computers work 24 hours a day, no vacations, network accessibility is worldwide, only 3% microprocessors in computers, an average car 16 microprocessors, exponential trend (faster, cheaper, more applications)
Intelligent systems are more friendly, more flexible than classical systems (not truly intelligent, just a bit more than classical)

6. S. Goonatilake, P. Treleaven: I. S. for Finance and Business
20 years ago substantial increase in IS Killer applications - breakthrough
Visa, 6 G trans. ann., 550G$, security; American Express, 15$ > 1.4$
typical: lots of data, new AI and HW cap.
quality improvement, lower costs,

7. Killer application American Express, Visa
Authorizer’s Assistant - an expert system
before: simple rigid rules, majority left to human supervisors, many people with different performance
Then new: an expert / intelligent system with many rules, copies expert supervisors, faster, cheaper, more equilibrated 15$ > 1.4$ per one transaction
(Visa - an neural network – DM and ML prevail)

8. Benefits
The key question – trust – can IS be trusted - obviously good enough (actually as good as average humans)
Intelligent systems enabled organizational changes in terms of HW, SW and humans
Work done better and faster, more profits, cheaper transactions
Less employed, more work done by computers
Problem - unemployment

9. Discussion
Intelligent systems (IS) apply AI methods and introduce intelligent services
BI = IS for business and economy
IS combine advantages of computer systems (cost, availability) with some human properties (simple engineering intelligence – learning, adapting, reasoning), and achieve better cost/benefit for several tasks