is exam 3
Cooperation
is a process where a group of people work together, all doing
essentially the same type of
work, to accomplish a goal
Collaboration
is a group of people working together to
achieve common
objectives via communication and iteration
3 criteria for judging the success of a team
Successful Outcome, Growth in Team Capability, Meaningful and Satisfying Experience
Collaboration IS
a information system that supports collaboration
Five components of a IS
Hardware, Software, Data, Procedures, People
Synchronous communication
occurs when all team members meet at the same time – conference calls and face to face meetings
Asychronous communication
occurs when team members do not meet at the same time
types of Synchronous communication
Video conferencing, Webinar, Screen
sharing, Google docs, Skype, Facetime
types of Asynchronous communication
Email, Sharepoint, Filesever, Google docs?, Project program
Iteration management
rack changes to documents and provide features and functions to accommodate concurrent work
Workflow Process
Document Library, Sequential
Workflow, Parallel Workflow
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
Connection data
data about relationships
Social Graph
a mapping that depicts the relationships among connected people
KPIs
Followers, Views, Clicks, Retweets, Shares
Customer Service Process
Anything before, during, or after a sale to make the customer experience better
Risks of Social media
Calculating ROI, Privacy, Bad publicity, Reduction in productivity
Social media policy
a statement that delineates employees' rights and responsibilities
Companies have to decide how to respond to content problems
Leave it, Respond to it, Delete it
Sharing economy
firms that enable peer-to-peer exchanges via
online communities
Collaborative consumption
mutual access to products and services rather than individual ownership
Intelligence
Ability to acquire, store, and apply knowledge
Artificial Intelligence
Software that allows an IS to simulate intelligence
Knowledge
Beliefs with justification
Knowledge Management
Procedure for automatically creating
knowledge
Pattern-Matching Systems
• Think and act rationally
• Matches perceptions to stored data
Reasoning Systems
• Good Old-Fashioned AI (GOFAI)
• Use probability, induction,
cause and effect, planning
• Think and act as people do
Interface Engine
applies logical rules to obtain new Knowledge
Neural Networks
designed to work like our brains
Algorithms
+ Primary software tool for AI
+ Series of computer instructions
(recipe)
+ Boolean Variables
Reasoning-Expert Systems
+ Rules-based systems
+ Data is acquired and stored as If/Then
rules
in a Knowledge Base
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
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
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
AI in the Business Process
Medical Diagnosis, Locating Expertise, Fraud Detection, Human Authentication
Challenges of AI
+ Cost
+ Expectations
+ Unintended Consequences
Narrow AI
+ Developed for a single purpose.
+ Narrow in scope
+
Turing Test conversation
Broad AI
+ Flexible
+ Re-usable
+ High-end tasks
Attributes of a Robot
+ Autonomy
+ Lifelikeness
+ Physical Motion
+
Objective
+ Role
The Four Ds
Dull, Dirty, Dangerous, Distant
Dull
Repetitive tasks that are prone to human error
Dirty
Contaminated or unsanitary posing health threat
Dangerous
Risk of injury or harm to humans
Distant
No human around
Challenges for Robots
Human Unemployment, Harm to Human Life, Vulnerable to Threats, Insurance
What is the Internet of Things?
Collection of objects connected to the internet that collect, communicate, and share data
1998 TNG Unicenter
a piece of software enabled to monitor anything
Automation
Reduce the need for humans to monitor devices, Remote control features, Smart decisions and actions
Improving Experience
Ease of Personal life, Consistent Customer
Experience, Sensing
Light, Sound,
Home / mom and pop shop IOT
Security cameras, Lights, Smart Appliances
Concerns of IOT
Confidentiality, Integrity, Availabilty
Who creates this
hardware ?
Who monitors the software patches
Who controls
the manufacturing?
What are the devices doing?
Analytics
process of acquiring, analyzing and publishing data with an objective of discovering or revealing patterns in data that will inform a business person
Analytics IS
is an information system that supports the 3 business intelligence activities of acquiring, analyzing, and publishing
objective of analytics
to inform
DSS
Decision Support System
Assessment
to be informed about current conditions
Prediction
is to be informed about the likelihood of future events
3 Key points of BI
Acquiring, Analyzing, Publishing
Four sub activities within acquiring data
• Obtain Data
• Cleanse data
• Organize and relate
data
• Catalog data
Acquiring data
means gaining access to, extracting, and putting data into a data warehouse
Last 3 steps
Cleanse data (normalization), Organize and relate data, Catalog data
Analysis
methodically breaks a thing down to examine its details in order to cover discover or reveal its essential features
Reporting
applies simple operations to reveal patterns in the data
RFM Analysis
used to analyze and rank customers according to their purchasing patterns
Olap Slice and dice
Sorting – filtering – grouping – calculating over and over
RFM
used to create a profile about what you’ve done in the past and assume you’re going to do it again
Olap
make changes/ filter out options and examine how this impacts a situation
Data mining
uses – sorting – filtering – grouping –calculating – used for better prediction
Publishing
Providing the results to the right user at the right time
Visualization
An image or diagram that communicates a data pattern in a highly readable format
Big Data
usually characterized by volume, rapid velocity and great variety.