Bus 391 - ch 3 Exam Latest Updated 2024
Benefits of Automated Labor - ANSWER-Work 24/7, no onboarding, no breaks/time wasting, no
arguments/issues, no injuries; more accurate/precise, holidays covered
Reduced in labor costs, employee benefits/compensation; productivity gain
Strong AI/ Weak AI - ANSWER-Strong AI: complete all of the same tasks a human can.
Weak AI: focused on completing a single specific task.
Turing Test
Machine Learning - ANSWER-the extraction of knowledge from data based on algorithms created from
training data; predicting outcome based on previously known data
Algorithm - ANSWER-Algorithm: set of procedures used to solve a mathematical problem, that best fits
our situation.
Naive Bayes Classifier: predicts probability of certain of a certain outcome based on prior occurrence or
related events.
Natural Language Processing - ANSWER-The ability of a computer program to understand spoke human
language, to answer questions.
IBM's Watson
The Singularity - ANSWER-which is the point at which an AI becomes sophisticated enough that it can
adapt/create its own software and, hence, adapt its behavior w/o human assistance - Ray Kurzweil
, Business Intelligence System - ANSWER-information systems that process operational, social, and other
data to identify patterns and trends for use by business professional and other knowledgable workers
Business Intelligence - ANSWER-the patterns, relationships, trends and predictions created by business
intelligence system
BI Application - ANSWER-the software component of a BI system
Design Support Systems - ANSWER-decision-making BI system:
informing, deciding, problem solving, project management
3 Primary BI Activities - ANSWER-Data Acquisition: process of obtaining, cleaning, organizing, relating
and cataloging source data.
BI Analysis: process of creating BI- reporting, data mining and big data.
Publishing Results: process of delivering business intelligence to the knowledgable workers.
-Push Publishing: delivers w/o any request from the users.
-Pull Publishing: requires the user to request BI result
Granularity - ANSWER-the level of detail represented by the data;
if data is too fine, it can be made coarse by summing/combining. If granularity is too coarse, no way to
separate into parts
Data Warehouse - ANSWER-a facility for managing an organization's BI data:
obtain, cleanse, organize/relate, and catalog data
Data Mart - ANSWER-smaller than a data warehouse;
Benefits of Automated Labor - ANSWER-Work 24/7, no onboarding, no breaks/time wasting, no
arguments/issues, no injuries; more accurate/precise, holidays covered
Reduced in labor costs, employee benefits/compensation; productivity gain
Strong AI/ Weak AI - ANSWER-Strong AI: complete all of the same tasks a human can.
Weak AI: focused on completing a single specific task.
Turing Test
Machine Learning - ANSWER-the extraction of knowledge from data based on algorithms created from
training data; predicting outcome based on previously known data
Algorithm - ANSWER-Algorithm: set of procedures used to solve a mathematical problem, that best fits
our situation.
Naive Bayes Classifier: predicts probability of certain of a certain outcome based on prior occurrence or
related events.
Natural Language Processing - ANSWER-The ability of a computer program to understand spoke human
language, to answer questions.
IBM's Watson
The Singularity - ANSWER-which is the point at which an AI becomes sophisticated enough that it can
adapt/create its own software and, hence, adapt its behavior w/o human assistance - Ray Kurzweil
, Business Intelligence System - ANSWER-information systems that process operational, social, and other
data to identify patterns and trends for use by business professional and other knowledgable workers
Business Intelligence - ANSWER-the patterns, relationships, trends and predictions created by business
intelligence system
BI Application - ANSWER-the software component of a BI system
Design Support Systems - ANSWER-decision-making BI system:
informing, deciding, problem solving, project management
3 Primary BI Activities - ANSWER-Data Acquisition: process of obtaining, cleaning, organizing, relating
and cataloging source data.
BI Analysis: process of creating BI- reporting, data mining and big data.
Publishing Results: process of delivering business intelligence to the knowledgable workers.
-Push Publishing: delivers w/o any request from the users.
-Pull Publishing: requires the user to request BI result
Granularity - ANSWER-the level of detail represented by the data;
if data is too fine, it can be made coarse by summing/combining. If granularity is too coarse, no way to
separate into parts
Data Warehouse - ANSWER-a facility for managing an organization's BI data:
obtain, cleanse, organize/relate, and catalog data
Data Mart - ANSWER-smaller than a data warehouse;
