is exam 3 Flashcards


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1

Cooperation

is a process where a group of people work together, all doing essentially the same type of
work, to accomplish a goal

2

Collaboration

is a group of people working together to
achieve common objectives via communication and iteration

3

3 criteria for judging the success of a team

Successful Outcome, Growth in Team Capability, Meaningful and Satisfying Experience

4

Collaboration IS

a information system that supports collaboration

5

Five components of a IS

Hardware, Software, Data, Procedures, People

6

Synchronous communication

occurs when all team members meet at the same time – conference calls and face to face meetings

7

Asychronous communication

occurs when team members do not meet at the same time

8

types of Synchronous communication

Video conferencing, Webinar, Screen
sharing, Google docs, Skype, Facetime

9

types of Asynchronous communication

Email, Sharepoint, Filesever, Google docs?, Project program

10

Iteration management

rack changes to documents and provide features and functions to accommodate concurrent work

11

Workflow Process

Document Library, Sequential
Workflow, Parallel Workflow

12

What is social media

can refer to apps, the use of apps, and or the social media app industry. Websites and applications that enable users to create and share content or to participate in social networking

13

Connection data

data about relationships

14

Social Graph

a mapping that depicts the relationships among connected people

15

KPIs

Followers, Views, Clicks, Retweets, Shares

16

Customer Service Process

Anything before, during, or after a sale to make the customer experience better

17

Risks of Social media

Calculating ROI, Privacy, Bad publicity, Reduction in productivity

18

Social media policy

a statement that delineates employees' rights and responsibilities

19

Companies have to decide how to respond to content problems

Leave it, Respond to it, Delete it

20

Sharing economy

firms that enable peer-to-peer exchanges via
online communities

21

Collaborative consumption

mutual access to products and services rather than individual ownership

22

Intelligence

Ability to acquire, store, and apply knowledge

23

Artificial Intelligence

Software that allows an IS to simulate intelligence

24

Knowledge

Beliefs with justification

25

Knowledge Management

Procedure for automatically creating
knowledge

26

Pattern-Matching Systems

• Think and act rationally
• Matches perceptions to stored data

27

Reasoning Systems

• Good Old-Fashioned AI (GOFAI)
• Use probability, induction, cause and effect, planning
• Think and act as people do

28

Interface Engine

applies logical rules to obtain new Knowledge

29

Neural Networks

designed to work like our brains

30

Algorithms

+ Primary software tool for AI
+ Series of computer instructions (recipe)
+ Boolean Variables

31

Reasoning-Expert Systems

+ Rules-based systems
+ Data is acquired and stored as If/Then rules
in a Knowledge Base

32

Matching Patterns– Neural Networks

+ Neural Networks are designed to work like our brains
+ Input, hidden, output layers
+ Designed by giving an information to the system and
using a large series of tests on hidden layers
+ Each round of testing makes the system more accurate
+ Hidden layers describe the many decisions made by the
system to get to the right answer

33

Machine Learning

+ Primarily used to discover patterns in data
+ Process of exposing a large amount of data
to an AI system as test inputs
+ The system continues to make random
guesses based on those inputs
+ Each time, the system checks to see if it was
right
+ The goal is to settle on a series of correct
answers that are right as often as statistically
possible
+ Can be supervised or unsupervised

34

Deep Learning

+ Machine Learning tests most layers as being
as important as all others
+ Deep learning can apply weight to each layer
+ Google Search and Facial Recognition
+ Natural Language Processing – Deep
learning actual language
+ Racial Discrimination in Face Recognition
Technology

35

AI in the Business Process

Medical Diagnosis, Locating Expertise, Fraud Detection, Human Authentication

36

Challenges of AI

+ Cost
+ Expectations
+ Unintended Consequences

37

Narrow AI

+ Developed for a single purpose.
+ Narrow in scope
+ Turing Test conversation

38

Broad AI

+ Flexible
+ Re-usable
+ High-end tasks

39

Attributes of a Robot

+ Autonomy
+ Lifelikeness
+ Physical Motion
+ Objective
+ Role

40

The Four Ds

Dull, Dirty, Dangerous, Distant

41

Dull

Repetitive tasks that are prone to human error

42

Dirty

Contaminated or unsanitary posing health threat

43

Dangerous

Risk of injury or harm to humans

44

Distant

No human around

45

Challenges for Robots

Human Unemployment, Harm to Human Life, Vulnerable to Threats, Insurance

46

What is the Internet of Things?

Collection of objects connected to the internet that collect, communicate, and share data

47

1998 TNG Unicenter

a piece of software enabled to monitor anything

48

Automation

Reduce the need for humans to monitor devices, Remote control features, Smart decisions and actions

49

Improving Experience

Ease of Personal life, Consistent Customer
Experience, Sensing Light, Sound,

50

Home / mom and pop shop IOT

Security cameras, Lights, Smart Appliances

51

Concerns of IOT

Confidentiality, Integrity, Availabilty
Who creates this hardware ?
Who monitors the software patches
Who controls the manufacturing?
What are the devices doing?

52

Analytics

process of acquiring, analyzing and publishing data with an objective of discovering or revealing patterns in data that will inform a business person

53

Analytics IS

is an information system that supports the 3 business intelligence activities of acquiring, analyzing, and publishing

54

objective of analytics

to inform

55

DSS

Decision Support System

56

Assessment

to be informed about current conditions

57

Prediction

is to be informed about the likelihood of future events

58

3 Key points of BI

Acquiring, Analyzing, Publishing

59

Four sub activities within acquiring data

• Obtain Data
• Cleanse data
• Organize and relate data
• Catalog data

60

Acquiring data

means gaining access to, extracting, and putting data into a data warehouse

61

Last 3 steps

Cleanse data (normalization), Organize and relate data, Catalog data

62

Analysis

methodically breaks a thing down to examine its details in order to cover discover or reveal its essential features

63

Reporting

applies simple operations to reveal patterns in the data

64

RFM Analysis

used to analyze and rank customers according to their purchasing patterns

65

Olap Slice and dice

Sorting – filtering – grouping – calculating over and over

66

RFM

used to create a profile about what you’ve done in the past and assume you’re going to do it again

67

Olap

make changes/ filter out options and examine how this impacts a situation

68

Data mining

uses – sorting – filtering – grouping –calculating – used for better prediction

69

Publishing

Providing the results to the right user at the right time

70

Visualization

An image or diagram that communicates a data pattern in a highly readable format

71

Big Data

usually characterized by volume, rapid velocity and great variety.