Big Data, AI, BI

Question 1

name 5 sources of big data

Answer 1

social networking, high speed networks, mobile computing, IoT, tracking equipment/software

Question 2

5 forms of big data

Answer 2

1. databases
2. text
3. multimedia
4. location
5. events

Question 3

4 characteristics of big data

Answer 3

1. volume
2. variety
3. velocity
4. veracity

Question 4

volume

Answer 4

scale of data

Question 5

velocity

Answer 5

analysis of streaming data

Question 6

variety

Answer 6

different forms of data

Question 7

veracity

Answer 7

uncertainty of data

Question 8

value

Answer 8

converting data into money

Question 9

how is value extracted from data

Answer 9

with business intelligence

Question 10

increasing value of big data

Answer 10

1. big data (unstructured)
2. processing (organized, indexed, optimized)
3. reporting (patterns/relationships)
4. analytics (prescriptive/predictive)

Question 11

BI

Answer 11

set of techniques/tools for acquiring/transforming raw data into meaningful and useful purposes

Question 12

garbage in, garbage out

Answer 12

low quality data will not lead to any quality value

Question 13

6 purposes of BI

Answer 13

1. improve decision making
2. get to know your business
3. reduce bottleneck risk
4. make sharing info easy
5. identify waste in the system
6. enable real-time analysis

Question 14

data warehouse

Answer 14

holds data obtained from internal/external sources

Question 15

business/data analytics

Answer 15

creates reports through queries/rules

Question 16

business performance management

Answer 16

linkage of data with business objectives for efficient tracking

Question 17

describe the BI framework

Answer 17

getting data in = data warehousing

getting data out = business intelligence

Question 18

data and business decision making hierarchy

Answer 18

1. data sources
2. data warehouse
3. data exploration (analysis)
4. data mining
5. data presentation/visualization
6. decision making

Question 19

AI

Answer 19

intelligence exhibited by a machine

Question 20

3 levels of AI

Answer 20

1. artificial narrow intelligence - intelligence at one task
2. artificial general intelligence - smart as a human
3. artificial super intelligence - better than a human

Question 21

Turing tests

Answer 21

attempts to see whether computer responses are indistinguishable from a human

Question 22

7 branches of AI

Answer 22

1. machine learning
2. NLP
3. speech
4. expert systems
5. planning/scheduling/optimization
6. robotics
7. vision

Question 23

machine learning

Answer 23

deep learning and predictive analysis

Question 24

NLP

Answer 24

translation, classification/clustering, info extraction

Question 25

speech

Answer 25

speech to text and text to speech

Question 26

vision

Answer 26

image recognition and machine vision