INTELIGENTNI SISTEMI POSLOVNA INTELIGENCA M. Gams

Intelligentni sistemi, BI INTELIGENTNI SISTEMI, POSLOVANJE, EKONOMIJA UMETNA INTELIGENCA IN. DRUŽBA

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.

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.

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

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 analiziraj uspešnost neke poslovne poteze, npr. stimulacije napoveduj vrednost delnic ali drugih pokazateljev zgradi model za dajanje uspešnih kreditov ali je enotna davčna stopnja učinkovita?

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

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)

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,

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)

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

Diskusija Inteligentni sistemi uporabljajo metode AI za reševanje praktičnih nalog BI = inteligentni sistemi za reševanje nalog poslovanja in ekonomije; rudarjenje podatkov BI uporablja prednosti računalnikov (hitrost, 24/7) in računalniške inteligence ter jih kombinira s prednostmi ljudi (znanje, modrost, širši pogled) za uspešnejše poslovanje

BI practical