CHAPTER 2 Digital Upstarts Vanquished Consumer Giants Flashcards

1
Q

What percentage of Amazon’s sales are based on personalized recommendations?

A

As many as half of the sales

This highlights the importance of Amazon’s recommendation algorithms.

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2
Q

What is the purchase graph?

A

A model created by Amazon that connects people’s purchase histories with their browsing, viewing, and listening data

This graph is used to enhance personalized recommendations.

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3
Q

What are the three factors incorporated by Amazon’s algorithms for product recommendations?

A
  • Diversity
  • Serendipity
  • Novelty

These factors help in creating effective personalized recommendations.

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4
Q

What is Google’s Shopping Graph?

A

A dynamic, AI-enhanced model that understands a constantly changing set of products, sellers, brands, reviews, and product information

This model connects users to over thirty-five billion listings.

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5
Q

What does the Knowledge Graph do?

A

Interconnects interrelated information to uncover comprehensive insights and helps users explore related concepts

It improves the search experience beyond simple data retrieval.

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6
Q

What are systems of record?

A

Traditionally used systems that gather data on transactions such as who bought what, how much, when, and at what price

They are often maintained separately by departments.

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7
Q

What are systems of engagement?

A

Platforms that connect with customers through email, websites, mobile apps, and social media

They allow for interaction beyond just transactional data.

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8
Q

What is the significance of product-in-use data?

A

Allows organizations to track how products are used in real time, leading to better analysis and insights

Companies like Amazon and Google use this data to enhance their datagraphs.

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9
Q

Define datagraphs.

A

Constructs that capture the relationships, links, and interrelationships between a company and its customers through product-in-use data

Inspired by social networks and graph theory.

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10
Q

What are the three characteristics of a datagraph?

A
  • Scale
  • Scope
  • Speed

These characteristics determine the value and richness of a datagraph.

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11
Q

How can companies increase the value of their datagraphs?

A

By expanding scale, scope, and speed of data collection

This can be achieved through partnerships and acquisitions.

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12
Q

What are data network effects?

A

When users provide data that enhances the value of a product or service for other users

Examples include interactions on platforms like Google and Spotify.

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13
Q

How do data network effects differ from direct network effects?

A

Data network effects increase value through user engagement, while direct network effects increase value by adding new users

Direct effects are typical in social networking.

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14
Q

What is the role of AI and machine learning in datagraphs?

A

They are used to analyze data, generate actionable insights, and refine algorithms for personalized recommendations

This capability has developed significantly in the last five years.

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15
Q

What is the relationship between datagraphs and customer satisfaction?

A

Datagraphs improve customer engagement, satisfaction, and loyalty through personalized experiences

Companies that leverage datagraphs effectively can outperform their competitors.

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16
Q

What is an example of a company that has successfully utilized a datagraph?

A

LinkedIn, which has developed a professional graph capturing data on around eight hundred million professionals

This graph helps in connecting professionals and enhancing job-related interactions.

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17
Q

What is the impact of digitalization on data collection?

A

It allows for observable and codifiable actions at scale in real time

This capability enhances the effectiveness of datagraphs.

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18
Q

What do datagraphs capture?

A

How individuals live, work, play, learn, listen, socialize, watch, transact, travel, spend, and any other activity associated with a business.

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19
Q

How has digitalization impacted the observation of actions?

A

It has made actions observable and codifiable at scale in real time.

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20
Q

Which platforms does Meta’s portfolio of datagraphs include?

A

Facebook, Messenger, WhatsApp, Instagram, Oculus, Threads.

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21
Q

What is the description of Facebook’s datagraph?

A

Social graph.

22
Q

What allows Meta to run trials and experiments?

A

Real-time collection of user data on interactions.

23
Q

How does Facebook determine which posts or ads to show a user?

A

It sorts through a large inventory and narrows it down based on past patterns.

24
Q

What type of graph does Airbnb use?

A

Travel graph.

25
Q

What does Airbnb track to provide personalized recommendations?

A

The room each individual rented, the places of interest visited, dining locations, shows watched.

26
Q

What is Google’s Knowledge Graph used for?

A

To organize facts and interrelationships about entities.

27
Q

What does Google’s graph-based architecture help with?

A

Understanding context in search queries.

28
Q

Fill in the blank: Google’s Knowledge Graph had indexed more than ______ entities.

A

500 million.

29
Q

What does Gen AI enable?

A

Generating new content in unstructured forms.

30
Q

What are the three core ideas captured by the letters in GPT?

A

Generative, pretrained, transformer.

31
Q

What is a business algorithm?

A

A proprietary reasoning and inference engine that interlinks various analyses.

32
Q

What types of analyses do business algorithms link together?

A
  • Descriptive analysis
  • Diagnostic analysis
  • Predictive analysis
  • Prescriptive analysis
33
Q

What is Netflix’s approach to recommendations?

A

It customizes its home screen based on detailed user data.

34
Q

What has Netflix’s recommendation engine saved the company?

A

Over $1 billion by preventing cancellations.

35
Q

How does Netflix guide its content development strategy?

A

By predicting viewer preferences using datagraph insights.

36
Q

What role does Gen AI play in the evolution of AI?

A

It generates datagraphs with richer insights and capabilities.

37
Q

What is the purpose of the shopping graph built by Google?

A

To provide a Gen AI shopping experience with real-time data on products.

38
Q

True or False: Google and Microsoft are competing in the search market using Gen AI.

39
Q

What is the significance of Netflix’s datagraph in content production?

A

It allows for data-driven decisions rather than relying on gut instinct.

40
Q

What does the term ‘moment of truth’ refer to for Netflix?

A

The two-minute window in which a viewer decides whether to watch something.

41
Q

What are the advantages of a graph-based structure for Google?

A

It helps understand user queries and improve responses.

42
Q

What is one of the main challenges for analog companies in data management?

A

Determining consumer purchasing patterns across different categories.

43
Q

What is the purpose of summarizing customer reviews?

A

To provide buyers with a sense of positive and negative feedback without reading all comments.

This helps streamline the decision-making process for potential customers.

44
Q

What type of tools is Meta creating with Gen AI?

A

Tools to help advertisers create ads calibrated to appeal to different individuals.

These tools leverage generative AI for more personalized advertising.

45
Q

Which advertising firm has partnered with Nvidia to enhance customized advertising?

A

WPP.

This partnership aims to advance the capabilities of tailored advertising solutions.

46
Q

What partnership is expected to intensify advertising competition with Gen AI?

A

Google and the Microsoft-Netflix partnership.

This collaboration is anticipated to escalate the advertising wars in the tech industry.

47
Q

What is Spotify’s AI-powered feature called?

A

DJ.

This feature acts as a personalized guide that refreshes music lineups based on individual tastes.

48
Q

How is Airbnb integrating Gen AI into its platform?

A

By integrating ChatGPT to reinvent the travel experience.

This integration aims to enhance user interactions and travel planning.

49
Q

What have digital companies used datagraphs and AI for?

A

To design business models that have displaced many leaders in consumer markets.

This illustrates the transformative impact of data-driven strategies.

50
Q

What must companies create to compete in a data-driven world?

A

Distinctive datagraphs and differentiated business algorithms.

This is essential for gaining a competitive edge in the market.

51
Q

What challenge do industrial companies face from digital companies?

A

The need to develop strategies to compete with digitals using datagraphs and algorithms.

Industrial companies traditionally rely on proprietary technologies and infrastructure.

52
Q

What is the focus of the next chapter mentioned in the text?

A

How industrials can survive and thrive in a digital world by developing industrial datagraphs.

This suggests a strategic approach for traditional industries to adapt to digital disruptions.