1. INTELIGENTNI SISTEMI POSLOVNA INTELIGENCA
M. Gams

2. Intelligentni sistemi, BI
IN. SOCIETY
ENGINEERING, TECHNOLOGY, BUSINESS, ECONOMY
ARTIFICIAL INTELLIGENCE

3. Definicija Poslovna inteligenca - Business intelligence (BI)
(Wikipedia)
mainly refers to computer-based techniques used in identifying, extracting, and analyzing business data, such as sales revenue by products and/or departments, or by associated costs and incomes.
BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining and predictive analytics.

4. Definicija Poslovna inteligenca (BI) (Wikipedia)
Včasih sinonim za tekmovalno inteligenco, ker obe uporabljata orodja za odločanje, ampak BI uporablja tehnologije, procese in aplikacije, da analiza poslovne podatke in procese.
Za naš predmet BI uporablja neko AI orodje, praktično se omejimo na strojno učenje.

5. BI (IS) področja
Support for BI/IS solutions: BI/IS governance, BI/IS strategies, BI/IS maturity models, BI/IS success factors, and BI/IS performance
Emerging trends in BI: pervasive BI, BI 2.0 (social media and BI), and mobile BI
Real time data warehousing und operational BI
Applications of BI, such as customer relationship management and business performance management
Data warehousing and data integration
Predictive and advanced analytics, and data visualization
Data, text and web mining for BI
Management of knowledge and business process improvement
Social and behavioral issues , and social media usage
Capturing and sharing knowledge in social networks and distributed contexts
Design, development, adoption, usage, and impact of IS on KI
Inter-organizational IS BI systems, such as in the supply chain and learning

6. BI (IS) aplikacije BUSINESS FINANCE
ECONOMY Related to a person, institution, country, continent …
Anything of this related to IS, i.e. using AI methods
RECOMMENDED METHODS FOR SEMINAL WORK DM on business-related data agent modeling on a business process
PRACTICAL EXAMPLES analyze efficiency of tax systems predict stock (share) values predict oil prices design a model for bank loans is selling country assets beneficial or not?

7. Intelligentni sistemi
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

8. Motivacija
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)

9. 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,

10. 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)

11. Prednosti
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

12. Diskusija
Intelligent systems (IS) apply AI methods and introduce intelligent services
BI = Intelligent systems 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