DSS: Decision Support Systems and AI: Artificial Intelligence DSS: Decision Support Systems and AI: Artificial Intelligence In Business
I’m ready to do some business AI in Business I’m ready to do some business Some Commercial Applications Decision Support Expert Systems Information Retrieval Virtual Reality Robotics
Overview of AI Goal of AI AI pioneered by Computer Science develop computer systems that exhibit intelligence or simulate the ability to think AI pioneered by Computer Science But, AI involves a combination of Computer Science, Biology, Psychology, Linguistics, Mathematics,Engineering
What really is Intelligence? Specifically, what are the signs of Intelligent Behavior? Think about it for a while
Which of the following is the best example of intelligent behavior? Ability to add numbers Ability to see and recognize objects Ability to adapt to surroundings Ability to learn for mistakes 10
What really is Intelligence? You are about to start an online chat (IM) with two entities: One entity is a human The other is a computer After hours of conversation, you can not tell which entity is a computer. Does this mean the computer is Intelligent?
Intelligent Behavior What are some of the signs, attributes, or characteristics of Intelligent Behavior
Characteristics of Intelligent Behavior Learn from experience & apply the knowledge Computer can automatically improve performance based on Experience Machine Learning Computational Learning
Characteristics of Intelligent Behavior Handle complex situations Computer Systems can often handle complexity better than humans Consider a process control system that must simultaneous track 100 different system variables.
Characteristics of Intelligent Behavior Solve problems when important information is missing Computer Systems can find patterns and deal with all sorts of missing information
Characteristics of Intelligent Behavior React quickly & correctly to new situations; Acquire & Apply Knowledge Here 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
Characteristics of Intelligent Behavior Determine what is important. Exhibit creativity and imagination Process visual information efficiently Use reason to solve problems These are some other Characteristics that humans possess. Computer systems have a lot of catching up to do.
Which of the following do computer need to catch up on? Determine what is important. Exhibit creativity and imagination Process visual information efficiently Use reason to solve problems 10
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 Systems It is important to know which types of problems are suited for humans, and which are suited for Computers.
Human Intelligence vs. AI Attribute Human Intelligence Artificial Intelligence Use a variety of information sources High Ability to acquire large amounts of external info. Medium Ability to do rapid, accurate, and complex calculations Low Ability to transfer information rapidly
Human Intelligence vs. AI Attribute Human Intelligence Artificial Intelligence Ability to use sensors or senses High Medium Creativity or imagination Low Ability to learn from experience Ability of be adaptive
AI: Application Domains
AI: Commercial Domains Decision Support Integrating the advantages of AI with Human Intelligence. More intelligent Interfaces More intelligent processing for massive data
AI: Commercial Domains Information Retrieval Automatic simplification for massive data Natural language technology: computer can speak our language.
AI: Commercial Domains Virtual Reality Better training environment from pilots to doctors Robotics Bringing the precision and speed of computers into the physical world Goes beyond manufacturing and assembly lines; Baggage Inspection, Bomb Removal, Replacement Limbs.
Expert Systems The idea is to inject expert knowledge in to a computer system. The primary purpose is to automate decision making. The decision environments have structure The alternatives and goals are often established in advance.
Expert Systems vs. DSS Expert System Inject expert knowledge in to a computer system. Automate decision making. The decision environments have structure The alternatives and goals are often established in advance. The expert system can eventually replace the human decision maker. Decision Support System Extract or gain knowledge from a computer system Facilitates decision making Unstructured environment Alternatives may not be fully realized yet Use goals and the system data to establish alternatives and outcomes, so a good decision can be made
DSS’s are interactive and ad hoc What is the biggest difference between a Decision Support System and an MIS DSS’s are interactive and ad hoc DSS’s focus on transforming information into knowledge MIS’s focus on transforming data into information All of the above 10
What is the biggest difference between an MIS and TPS in a TPS there is no analysis an MIS focuses on reports an TPS focuses on updating a database All of the above 10
How is the analysis different for a MIS vs. DSS MIS: Analysis involves computing aggregates MIS: Analysis involves creating useful charts and graphs DSS: Connects information with decisions DSS: Builds scenarios 10
Some Interesting Applications of Expert Systems Triage – Medical Diagnosis (Medical Expert System) User enters symptoms System makes diagnosis Doctors collective expertise is captured in the system Patriot Missile Guidance System Radar identifies Scud missile System steers Patriot missile to it intercepts Scud missile Laws of physics, expert knowledge about missile trajectory is captured in the system Financial Decision Making – Currency Trading
Expert System Categories Decision Making buy/sell risk/no risk rain/ no rain Trouble Shooting / Diagnosis Hello welcome to Dell; how can I help you? Suddenly an idiot seems like an expert. Selection/Classification Tell me what you see, expert system figures out what it really is... Process Monitoring and Control Robot control, assembly-line control, missile control Design/Configuration Specify what you want, expert system figures out specifically how to do it.
Expert System Components Expert System Software User Interface Engine Knowledge base user
Expert System Components Expert System Software User Interface Engine Knowledge base user Expert System Development Process Knowledge Acquisition Program Expert or Knowledge Engineer Raw Data or Facts
Expert System Components Non-expert Robot Missile Expert System Software Interface Engine Knowledge base Expert System Development Process Knowledge Acquisition Program Expert or Knowledge Engineer Raw Data or Facts
Expert System vs. DSS DSS Processes Someone with Knowledge Someone with Knowledge Decision Maker DSS Software Model Base Analytical & Statistical Models User Interface Engine DSS Processes Data Management Extraction, Generation, Validation, etc. Raw Data or Facts