Chapter 11: Improving Decision Making and Managing AI Flashcards

1
Q

What are unstructured decisions?

A

decision maker uses judgment, evaluation and insight in DM. Decision is new, important and not routine. There is no procedure and these decisions are reserved for top management

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2
Q

What are semistructured decisions?

A

Only a part of the problems has a clear answer and accepted procedure. The remainder uses judgment and insight. REserved for middle management

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3
Q

What are structured decisions?

A

There are repetitive and routine decisions involving procedures to handle them. These decisions are for operational management

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4
Q

What are the four steps in decision making?

A
  1. Identify the problem
  2. Identify the alternatives
  3. Choose best option
  4. Implement
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5
Q

What are the elements of a business intelligence (BI) environment?

A
  1. Data from business environment
  2. Business Intelligence infrastructure
  3. BI toolset
  4. Managerial user and methods
  5. Delivery platform - MIS,Decision & Executive support systems)
  6. User Interface
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6
Q

What is analytical BI functionality?

A

This means that the production and parameterized reports, dasbods, ad hoc query/search creation, drill down & forecasts, scenarios and models

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7
Q

what is predictive analysis?

A

This uses stats, datamining, historical data and assumptions to predict future trends and patterns

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7
Q

What is location analytics?

A

Gaining business insights from the location where data is gained

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7
Q

What is machine learning?

A

This begins with very large datasets to find patterns and relationships in data

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8
Q

What is supervised learning?

A

System is trained through specific examples identified by humans.

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8
Q

What is operational intelligence?

A

This means monitoring operational decisions

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9
Q

What are geographic information systems?

A

these systems provide tools to visualize problems benefitting from mapping. Ties location data to a map

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10
Q

What is the balanced scorecard method?

A

This is an operationalization of the strategic objectives by measuring measurable objectives in financial, business process, customer and learning and growth. Performance measures are called Key Performance Indicators (KPIs)

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10
Q

Wat is the inference engine?

A

Strategy to search through knowledge base

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10
Q

What are Expert systems?

A

These systems capture knowledge of experts and represents this knowledge as sets of rules, converted into a computer code to help users through decision making process.

These rules are called the knowledge base

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11
Q

What are deep learning networks?

A

These are more complex networks with layers transforming data to produce target output.

12
Q

What is natural language processing?

A

Computer analyzes natural language

12
Q

What is unsupervised learning?

A

system is asked to process database and report patterns it found

13
Q

What are the limitations of machine learning and neural networks?

A
  1. Requires very large datasets to identify patterns, which is not always realistic in real life
  2. No explanation of why machine learning chose what it did
  3. No ethical consideration
  4. Many problems are not suitable for yes/no decisions
14
Q

What are genetic algorithms?

A

This finds solutions by examining large number of alternatives to a problem. it us used for problems involving thousands of variables.

15
Q

What are computer vision systems?

A

These systems emulate human visual systems to view and extract information from real-world images

16
Q

What are robotics?

A

Robotics deal with design, construction, and use of movable machines instead of humans. These robots are programmed to perform certain activities

17
Q

What are intelligent agents?

A

These are software programs carrying out specific tasks for individual users, processes or applications in the background withoug human intervention