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Priority CAIC Book 1 > PCaiC fc Book 1 13-17 > Flashcards

PCaiC fc Book 1 13-17 Flashcards

(85 cards)

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1
Q

What is the first step after building the model?

A

Look at the found association rules for the UK

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2
Q

What is the significance of AI in commerce?

A

AI solutions that can provide market demand

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3
Q

What can AI help shorten in companies?

A

The time of gathering key data points

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4
Q

How can AI be used in product ideation?

A

Generating new product ideas

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5
Q

What is a key takeaway regarding AI’s role in product ideas?

A

AI can generate creative product ideas

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6
Q

What are the two types of product launches discussed?

A

Hard launch and soft launch

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7
Q

What does AI help optimize in hard launches?

A

Automating processes

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8
Q

What can Commerce.AI provide for companies?

A

Product data readily available

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9
Q

What should AI not be relied on for?

A

100% of the time

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10
Q

What can AI help with in product management?

A

Gaining actionable insights

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11
Q

What are some areas where AI can be applied in product management?

A
  • Consumer insights
  • Product tracking
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12
Q

What is the importance of tracking a product wish list?

A

Avoid losing track of key considerations

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13
Q

What insights can Commerce.AI provide?

A

Historical insights over time

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14
Q

How can AI enhance customer understanding?

A

By analyzing behavior and preferences

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15
Q

What is a key aspect AI can help with in brand management?

A

Streamlining product management

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16
Q

What can AI generate to assist in marketing?

A

Ad copy and product descriptions

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17
Q

What is the role of AI in customer support?

A

Improving efficiency

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18
Q

What can AI provide actionable insights about?

A

Customer affinities and preferences

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19
Q

What is a key takeaway regarding Service AI?

A

Enables companies to create more human experiences

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20
Q

What is the importance of using accurate data in AI?

A

To ensure actionable recommendations

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21
Q

What is one powerful feature of Service AI?

A

Exploring aggregated reviews

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22
Q

What does Commerce.AI help service teams understand?

A

What consumers want

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23
Q

What is an example of how AI can recommend products?

A

Based on individual needs and habits

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24
Q

What is one powerful feature of Service AI?

A

The ability to explore aggregated reviews

Aggregated reviews provide insights across multiple customer experiences.

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25
What can Service AI analyze over time?
Trends across locations ## Footnote This helps in understanding customer behavior and preferences over different periods.
26
What does Commerce.AI help service teams understand?
What consumers want ## Footnote This understanding helps in tailoring services to meet customer needs.
27
What is a key customer intent to track?
Segmenting customers ## Footnote Segmenting customers allows for targeted marketing and service offerings.
28
What does optimizing service employees with AI involve?
Sentiment analysis and customer analytics ## Footnote These tools help to enhance customer interactions and improve employee performance.
29
What is the role of AI tools like those in Commerce.AI?
Allows service organizations to leverage data for better decision-making ## Footnote This includes understanding customer intents and preferences.
30
What is essential for service providers to consider?
Leveraging growing AI capabilities ## Footnote This includes understanding how AI can enhance service delivery.
31
What is a key takeaway regarding customer experience?
Improving customer experience is crucial for business success ## Footnote A positive customer experience can lead to customer loyalty and repeat business.
32
What can AI highlight in service operations?
Key bottlenecks ## Footnote Identifying bottlenecks enables organizations to streamline operations and improve efficiency.
33
What does trend analysis and forecasting help with?
Identifying market opportunities ## Footnote This is critical for product development and strategic planning.
34
What does Commerce.AI use to identify relevant product features?
Advanced machine learning ## Footnote This technology helps in quickly uncovering features that meet customer demands.
35
What is a significant challenge in AI applications?
Preclinical failure rates in pharmaceutical research ## Footnote AI aims to reduce these rates significantly.
36
What is edge computing?
A distributed computing model ## Footnote It processes data closer to the source, improving efficiency and response times.
37
What does AI commonly refer to?
Artificial intelligence ## Footnote It encompasses technologies that simulate human intelligence.
38
What are the two winters AI has witnessed?
1970s reduction of funding and another period of stagnation ## Footnote These events led to decreased interest and investment in AI research.
39
What is supervised learning?
A method where a model is trained using labeled data ## Footnote It helps in making predictions or classifications based on input data.
40
What characterizes unsupervised learning?
Learning from unlabeled data to find patterns ## Footnote This method is useful for clustering and association tasks.
41
What does reinforcement learning involve?
An agent and a reward system ## Footnote The agent learns to make decisions by receiving feedback on its actions.
42
What is the focus of AI in the banking sector?
Automating decision-making processes ## Footnote This includes risk assessment, fraud detection, and customer service enhancements.
43
What technology helps in identifying consumer preferences?
AI and data analytics ## Footnote These technologies analyze data to understand and predict consumer behavior.
44
What does supervised learning refer to?
A method that uses labeled training data to learn a function that maps inputs to outputs.
45
What does unsupervised learning refer to?
A method that uses unlabeled data to identify patterns or groupings within the data.
46
What is the basis of reinforcement learning?
An agent and a reward.
47
What is depicted in the reinforcement learning method diagram?
The interaction between an agent, environment, actions, and rewards.
48
What does the term 'training data' refer to?
Data used to train machine learning models.
49
What are key technologies that contribute to AI?
Machine learning algorithms, neural networks, natural language processing.
50
Why are libraries important for Python?
They provide pre-built functions that simplify programming tasks.
51
What is a major impact of deep learning?
Improved model performance due to advanced algorithms and larger datasets.
52
What role does hardware play in AI?
It provides the necessary resources for computation and processing.
53
What does a uniform method of implementing machine learning projects refer to?
A standardized approach to develop and deploy machine learning solutions.
54
What is the purpose of assessing the accuracy of the training model?
To evaluate model performance and make necessary revisions.
55
What occurs in the live environment phase of machine learning?
The training model is applied to new, unseen data.
56
What is indicated by '0.9 years has been with the asset manager'?
The duration of investment management by the asset manager.
57
What does '0.9 years has been deposited in banks' imply?
The time frame of funds held in bank deposits.
58
What does '0.8 years has been in the stock markets' indicate?
The duration of investments in stock markets.
59
What does '2.3 years has been funded by credit/borrowing' mean?
The total time financed through loans and credit.
60
What does the percentage 75.87 refer to?
A specific financial metric or performance indicator.
61
What does the percentage 100.00% indicate?
A complete or full value in a given context.
62
What does the value 14.64 represent?
A specific numerical value in a financial context.
63
What does the percentage 19.00% signify?
A proportion or rate in a financial analysis.
64
What does the value 69.1 refer to?
A specific data point or measurement.
65
What does the percentage 91.00% denote?
A metric indicating near-complete performance.
66
What does the value 58.93 represent?
A numerical statistic relevant to performance evaluation.
67
What does the percentage 78.00% indicate?
A significant rate or achievement level.
68
What does the value 79.24 refer to?
A specific measurement or financial figure.
69
What does the percentage 104.00% imply?
A value exceeding the whole or expected outcome.
70
What does the value 57.49 represent?
A data point relevant to financial metrics.
71
What does the percentage 76.00% signify?
A substantial performance rate.
72
What does the value 29.7 refer to?
A numerical figure in a financial context.
73
What does the percentage 39.00% denote?
A proportion or rate in analysis.
74
What does the percentage 45.00% indicate?
A specific performance metric.
75
What does the percentage 5.00% represent?
A small percentage in a financial context.
76
What does the value 87.41 refer to?
A specific measurement or indicator.
77
What does the percentage 115.00% imply?
A value that exceeds the total or expected outcome.
78
What does the value 1.86 represent?
A specific numerical statistic.
79
What does the percentage 2.00% denote?
A small percentage in financial metrics.
80
What does the value 9.58 refer to?
A specific numerical data point.
81
What does the percentage 13.00% signify?
A performance rate or proportion.
82
What does the value 6.57 represent?
A numerical figure relevant to analysis.
83
What does the percentage 9.00% indicate?
A small rate in a financial context.
84
What does the value 461.98 refer to?
A significant numerical figure.
85
What does the percentage 609.00% imply?
An exceptionally high value exceeding expectations.

Priority CAIC Book 1 (6 decks)

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