INTELLIGENT SYSTEMS BUSINESS MOTIVATION

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INTELLIGENT SYSTEMS BUSINESS MOTIVATION BUSINESS INTELLIGENCE
Presentation transcript:

INTELLIGENT SYSTEMS BUSINESS MOTIVATION M. Gams

Intelligent systems IN. SOCIETY ENGINEERING, TECHNOLOGY, BUSINESS, ECONOMY ARTIFICIAL INTELLIGENCE

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

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

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)

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)

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

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