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I NTELIGENTNI SISTEMI POSLOVNA INTELIGENCA

I NTELIGENTNI SISTEMI POSLOVNA INTELIGENCA. M. Gams. Intelligent ni sistemi, BI. I N . DRUŽBA. INTELIGENTNI SISTEMI, POSLOVANJE, EKONOMIJA. UMETNA INTELIGENCA. Defini cija. Poslovna inteligenca - B usiness intelligence (BI) (Wikipedia)

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I NTELIGENTNI SISTEMI POSLOVNA INTELIGENCA

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  1. INTELIGENTNI SISTEMIPOSLOVNA INTELIGENCA M. Gams

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

  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 WORKDM on business-related dataagent modeling on a business process • PRACTICAL EXAMPLESanaliziraj uspešnost neke poslovne poteze, npr. stimulacijenapoveduj vrednost delnic ali drugih pokazateljevzgradi model za dajanje uspešnih kreditovali je enotna davčna stopnja učinkovita?

  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 ISKiller 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 equilibrated15$ > 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 • 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

  13. BI practical

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