INTELIGENTNI SISTEMI POSLOVNA INTELIGENCA

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INTELIGENTNI SISTEMIPOSLOVNA INTELIGENCA

• M. Gams

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Intelligentni sistemi, BI
IN. DRUŽBA

INTELIGENTNI SISTEMI,POSLOVANJE, EKONOMIJA
UMETNA INTELIGENCA
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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.

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Definicija

• Poslovna inteligenca (BI)
• (Wikipedia)
• Vcasih sinonim za tekmovalno inteligenco, ker obe
  uporabljata orodja za odlocanje, ampak BI
  uporablja tehnologije, procese in aplikacije, da
  analiza poslovne podatke in procese.
• Za naš predmet BI uporablja neko AI orodje,
  prakticno se omejimo na strojno ucenje.

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BI (IS) podrocja

• 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

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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
  davcna stopnja ucinkovita?

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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

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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)

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S. Goonatilake, P. TreleavenI. S. for Finance
and Business

• 20 years ago substantial increase in ISKiller
  applications - breakthrough
• Visa, 6 G trans. ann., 550G, security American
  Express, 15 gt 1.4
• typical lots of data, new AI and HW cap.
• quality improvement, lower costs,

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Killer application American Express, Visa

• Authorizers 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 gt 1.4 per one
  transaction
• (Visa - an neural network DM and ML prevail)

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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

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Diskusija

• Inteligentni sistemi uporabljajo metode AI za
  reševanje prakticnih nalog
• BI inteligentni sistemi za reševanje nalog
  poslovanja in ekonomije rudarjenje podatkov
• BI uporablja prednosti racunalnikov (hitrost,
  24/7) in racunalniške inteligence ter jih
  kombinira s prednostmi ljudi (znanje, modrost,
  širši pogled) za uspešnejše poslovanje

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BI practical