DSS: Decision Support Systems and AI: Artificial Intelligence
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Presentation on theme: "DSS: Decision Support Systems and AI: Artificial Intelligence"— Presentation transcript:
1 DSS: Decision Support Systems and AI: Artificial Intelligence In Business
2 I’m ready to do some business AI in BusinessI’m ready to do some businessSome Commercial ApplicationsDecision SupportExpert SystemsInformation RetrievalVirtual RealityRobotics
3 Overview of AI Goal of AI AI pioneered by Computer Science develop computer systems that exhibit intelligence or simulate the ability to thinkAI pioneered by Computer ScienceBut, AI involves a combination ofComputer Science, Biology, Psychology, Linguistics, Mathematics,Engineering
4 What really is Intelligence? Specifically, what are the signs of Intelligent Behavior?Think about it and write down some answers.
5 What really is Intelligence? You are about to start an online chat (IM) with two entities:One entity is a humanThe other is a computerAfter hours of conversation, you can not tell which entity is a computer.Does this mean the computer is Intelligent?
6 Intelligent BehaviorWhat are some of the signs, attributes, or characteristics of Intelligent Behavior
7 Characteristics of Intelligent Behavior Learn from experience & apply the knowledgeComputer can automatically improve performance based on ExperienceMachine LearningComputational Learning
8 Characteristics of Intelligent Behavior Handle complex situationsComputer Systems can often handle complexity better than humansConsider a process control system that must simultaneous track 100 different system variables.
9 Characteristics of Intelligent Behavior Solve problems when important information is missingComputer Systems can find patterns and deal with all sorts of missing information
10 Characteristics of Intelligent Behavior React quickly & correctly to new situations; Acquire & Apply KnowledgeHere is where computers start to fail.Adapting to completely new situations is a problem for computer systems.Its very difficult to design a computer system that can combine, connect, and acquire knowledge to solve completely new problems
11 Characteristics of Intelligent Behavior Determine what is important.Exhibit creativity and imaginationProcess visual information efficientlyUse reason to solve problemsThese are some other Characteristics that humans possess.Computer systems have a lot of catching up to do.
12 AI in Business AI continues to improve and evolve. Scientists and Engineers are pushing the envelope of what is possible.In Business, there is a better understanding of the capabilities of Intelligent Computer SystemsIt is important to know which types of problems are suited for humans, and which are suited for Computers.
13 Human Intelligence vs. AI AttributeHuman IntelligenceArtificialIntelligenceUse a variety of information sourcesHighAbility to acquire large amounts of external info.MediumAbility to do rapid, accurate, and complex calculationsLowAbility to transfer information rapidly
14 Human Intelligence vs. AI AttributeHuman IntelligenceArtificialIntelligenceAbility to use sensors or sensesHighMediumCreativity or imaginationLowAbility to learn from experienceAbility of be adaptive
16 AI: Commercial Domains Decision SupportIntegrating the advantages of AI with Human Intelligence.More intelligent InterfacesMore intelligent processing for massive dataInformation RetrievalAutomatic simplification for massive dataNatural language technology: computer can speak our language.
17 AI: Commercial Domains Virtual RealityBetter training environment from pilots to doctorsRoboticsBringing the precision and speed of computers into the physical worldGoes beyond manufacturing and assembly lines; Baggage Inspection, Bomb Removal, Replacement Limbs.
18 Expert SystemsThe idea is to inject expert knowledge in to a computer system.The primary purpose is to automate decision making.The decision environments have structureThe alternatives and goals are often established in advance.
19 Expert Systems vs. DSS Expert System Inject expert knowledge in to a computer system.Automate decision making.The decision environments have structureThe alternatives and goals are often established in advance.The expert system can eventually replace the human decision maker.Decision Support SystemExtract or gain knowledge from a computer systemFacilitates decision makingUnstructured environmentAlternatives may not be fully realized yetUse goals and the system data to establish alternatives and outcomes, so a good decision can be made
20 Some Interesting Applications of Expert Systems Triage – Medical Diagnosis (Medical Expert System)User enters symptomsSystem makes diagnosisDoctors collective expertise is captured in the systemPatriot Missile Guidance SystemRadar identifies Scud missileSystem steers Patriot missile to it intercepts Scud missileLaws of physics, expert knowledge about missile trajectory is captured in the systemFinancial Decision Making – Currency Trading
21 Expert System Categories Decision Makingbuy/sellrisk/no riskrain/ no rainTrouble Shooting / DiagnosisHello welcome to Dell; how can I help you?Suddenly an idiot seems like an expert.Selection/ClassificationTell me what you see, expert system figures out what it really is...Process Monitoring and ControlRobot control, assembly-line control, missile controlDesign/ConfigurationSpecify what you want, expert system figures out specifically how to do it.
22 Expert System Components Expert System SoftwareUser InterfaceEngineKnowledge baseuser
23 Expert System Components Expert System SoftwareUser InterfaceEngineKnowledge baseuserExpert System Development ProcessKnowledge Acquisition ProgramExpert or Knowledge EngineerRaw Data or Facts
24 Expert System Components Non-expertRobotMissileExpert System SoftwareInterfaceEngineKnowledge baseExpert System Development ProcessKnowledge Acquisition ProgramExpert or Knowledge EngineerRaw Data or Facts
25 Expert System vs. DSS DSS Processes Someone with Knowledge Someone with KnowledgeDecision MakerDSS SoftwareModel BaseAnalytical & Statistical ModelsUser InterfaceEngineDSS ProcessesData Management Extraction, Generation, Validation, etc.Raw Data or Facts