INTELLIGENT SYSTEMS BUSINESS MOTIVATION

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INTELLIGENT SYSTEMS BUSINESS MOTIVATION

• M. Gams

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Intelligent systems
IN. SOCIETY

ENGINEERING, TECHNOLOGY,BUSINESS, ECONOMY
ARTIFICIAL INTELLIGENCE
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Properties

• Learning
• Flexibility
• Adaptation
• Explanation
• Discovery
• Intelligent system, some AI tool

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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

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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)

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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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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

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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