IS101 Flashcards

1
Q

Intelligence has been defined in many ways: the capacity for __________ give at least five…

A

logic
understanding
self-awareness
learning
emotional knowledge

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2
Q

What are the applications of intelligent systems, give at least five…

A
  • Factory automation
  • Field and service robotics
  • Assistive robotics
  • Military applications
  • Medical care
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3
Q

What are the 4 challenges in intelligent systems?

A
  • Uncertainty
  • Dynamic world
  • Time-consuming computation
  • Mapping
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4
Q

Studying intelligent systems, give at least five…

A
  • Programming
  • Data structures
  • Algorithms
  • Pattern recognition
  • Machine learning
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5
Q

is revolutionizing business technology by integrating interconnected devices and machines

A

Internet of Things (IoT)

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6
Q

are rapidly evolving IT technologies utilizing smart remote devices to securely transmit and receive information via the Internet or cloud to data centers.

A

Intelligent Systems and the Internet of Things

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7
Q

What are the 10 areas that should be addressed when designing intelligent systems architecture?

A
  • Security
  • Reliability
  • Scalability
  • Flexible, extensible platform
  • Integration with enterprise applications and infrastructure
  • System and device management
  • Technologies that minimize network cost
  • Certifications
  • Stable technology product life cycle
  • Maintainability
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8
Q

stored in well-defined schemas like databases, follows a consistent order, is easily accessible and used by individuals or computer programs.

A

Structured data

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9
Q

SQL stands for?

A

Structured Query Language

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10
Q

is often used to manage structured data stored in databases.

A

SQL

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11
Q

What are the 2 characteristics of Structured Data?

A
  • Data conforms to a data model and has easily identifiable structure
  • Data is stored in the form of rows and columns
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12
Q

Physical sensors/effectors offer limited, noisy, and inaccurate information, leading to potential system errors due to noise and execution limitations.

A

Uncertainty

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13
Q

The physical world changes continuously, requiring that decisions be made at fast time

A

Dynamic world

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14
Q

Extensive computational search for optimal goal path requires large state space, costing time.

A

Time-consuming computation

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15
Q

The transition from 3D to 2D worlds presents significant challenges for computer vision

A

Mapping

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16
Q

Designing architecture and products with security in mind is crucial for businesses

A

Security

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17
Q

Choose field-proven products with high reliability and stability

A

Reliability

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18
Q

Integrating smarter devices into enterprise IT infrastructure requires provisioning for higher traffic loads

A

Scalability

19
Q

gives your business efficiency, consistency and predictability

A

Flexible, extensible platform

20
Q

the solution architecture must be integrated with your backend business process management

A

Integration with enterprise applications and infrastructure

21
Q

Being able to manage and maintain systems and devices

A

System and device management

22
Q

Power, device and concentration-gateway connections are crucial cost elements

A

Technologies that minimize network cost

23
Q

Choose solutions that already have ISV certifications

A

Certifications

24
Q

Mature, tested products with a record of reliability and long-term product support

A

Stable technology product life cycle

24
Q

Older embedded systems lack dynamic performance,

A

Maintainability

25
Q

Sources of Structured Data, give at least five…

A
  • SQL Databases
  • Spreadsheets such as Excel
  • OLTP Systems
  • Online forms
  • Sensors such as GPS or RFID tags
26
Q

Give at least 3 advantages of Structured Data

A
  • Easily scalable in case there is an increment of data
  • Ensuring security to data is easy
  • Data mining is easy i.e. knowledge can be easily extracted from data
27
Q

is crucial for a business’s success, including proper data preparation and utilization in developing a successful strategy.

A

Asking Simple Questions of Data

28
Q

they believe that big data is the ultimate solution for business issues, but data analysis requires specific questions

A

C-level executives

29
Q

What are the 10 Data Analysis Questions to Improve Your Business Performance in The Long Run

A
  1. It’s good to evaluate the well-being of your business first.
  2. What standard KPIs will you use that can help?
  3. Where will your data come from?
  4. How can you ensure data quality?
  5. Which statistical analysis techniques do you want to apply?
  6. What ETL procedures need to be developed, if any?
  7. Who are the final users of your analysis results?
  8. What else do I need to know?
  9. What data visualizations should you choose?
  10. How can you create a data-driven culture?
30
Q

is crucial for businesses of all sizes, providing valuable resources, improved strategies, and improved decision-making.

A

Data analytics

31
Q

involves reading, transforming, and loading data from one database into another.

A

ETL

32
Q

ETL stands for?

A

Extract-Transform-Load

33
Q

The 3 statistical techniques that are most widely used for business analysis:

A
  • Regression Analysis
  • Cohort Analysis
  • Predictive & Prescriptive Analysis
34
Q

a statistical process for estimating the relationships and correlations among variables.

A

Regression Analysis

35
Q

it enables you to easily compare how different groups,

A

Cohort Analysis

36
Q

it is based on analyzing current and historical datasets to predict future possibilities

A

Predictive & Prescriptive Analysis

37
Q

Explain why creating intelligent experiences is hard (4)

A

o Presenting Intelligence to Users
o Achieve the System’s Objectives
o Minimize Intelligence Flaws
o Create Data

38
Q

Why Creating Intelligent Experiences Is Hard (5)

A

o Intelligence Make Mistakes
o Intelligence Makes Crazy Mistakes
o Intelligence Makes Different Types of Mistakes
o Intelligence Changes
o The Human Factor

39
Q

The exciting new effort to make computers think, machines with minds, in the full literal sense.

A

Intelligence

40
Q

What’s involved in Intelligence? (2)

A
  • Reasoning and Planning
  • Learning and Adaptation
41
Q

Different Types of Artificial Intelligence

A
  • Modeling exactly how humans actually think
  • Modeling exactly how humans actually act
  • Modeling how ideal agents “should think”
  • Modeling how ideal agents “should act”
42
Q

The ability to model the external world, solve new problems, plan, and make decisions

A

Reasoning and Planning

43
Q

We continuously learn and adapt, constantly updating our internal models

A

Learning and Adaptation