Slides 7: Data Literacy and Strategy

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81 Questions

What is identified as the defensible barrier for many businesses among leading AI teams?

Access to data

According to the European Commission, how much revenue could be generated in the European data economy by 2025?

829 billion euros

What does Andrew Ng, former Google Brain, consider exceedingly difficult to access among leading AI teams?

Access to data

Which term is used to describe data as the new oil?

None of the above

What type of data is identified as the input for synthetic data generation?

All of the above

According to the European Union's Data Strategy, what shapes Europe's digital future?

Data value

What are the key focus areas for synthetic data?

Perception Analysis Language Planning Generation

What is perceived as the new oil in the context of unsplash.com/de/@filmlav picture?

$829 billion euros

What is considered as the defensible barrier for many businesses according to Andrew Ng, former Google Brain?

Access to someone else’s data

What is the ontological reversal as described in the text?

Data represents and reflects physical reality

According to the text, what is the consequence of no data literacy?

Vulnerability to misinformation and data misuse

Which type of bias is mentioned in the text as a potential problem in machine learning?

All of the above

What does the term 'train-serving skew' refer to in machine learning applications?

Production data differing from training data

What is the impact of low data literacy as discussed in the text?

Limitation of career growth

What is the advantage of having feature accuracy in data?

Ground truth

In the context of machine learning, what does 'target class balance' refer to?

Many ML approaches assume a relatively equal number of samples per target class

What is the main focus of the data-sharing ecosystems mentioned in the text?

Reciprocal data-sharing

According to the text, what percentage of companies surveyed in Germany do not yet exchange data?

71%

What are identified as key challenges in exchanging data in industrial ecosystems?

Culture and mindset

Which ecosystem is primarily associated with the concept of a data-supply-chain?

Collaborative data-supply-chain ecosystem

What type of ecosystem emphasizes mutual sharing and exchange of data?

Reciprocal data-sharing ecosystem

Which challenge specifically relates to the need for a common vocabulary and structure for data in industrial ecosystems?

The need for ontologies

According to the text, what wins championships?

Defense

Which aspect is NOT identified as a key challenge in exchanging data in industrial ecosystems?

Competitive analysis challenges

What does 63% represent in the context of companies surveyed in Germany?

Percentage of companies not exchanging data

Which type of ecosystem emphasizes collaborative sharing and distribution of data within a supply chain network?

Collaborative data-supply-chain ecosystem

What is a common step in ML pipelines to avoid overfitting?

Data deduplication

What does the term 'data lineage' refer to?

Tracking the flow of data over time

Which standard provides a privacy framework for information security management systems?

ISO/IEC 27001

What is the main purpose of the ISO/IEC 27001 standard?

Creating a system to manage risks related to data security

What is the primary function of data lineage tools?

Making the flow of data transparent and inspectable

What does the term 'Skywise' refer to in the context of the aviation industry?

A platform connecting in-flight, engineering, and operations data

'Data sharing ecosystems' arise when organizations agree to share data and insights under what condition?

Under locally applicable regulations

What is the main focus of the project referred to in the quote by Hugo Ceulemans?

Efficiency gains in discovery efforts

'Uniqueness' refers to what aspect of real-world entities or concepts?

Being referred to by only one representation

What aspect is crucial in ensuring that data resources do not become a honey pot for attacks?

Data security compliance

What did Andrew Ng consider as the defensible barrier for many businesses?

Access to data

According to the European Commission, how much revenue could be generated in the European data economy by 2025?

829 billion dollars

What is the primary focus of the project referred to in the quote by Hugo Ceulemans?

Synthetic data generation

According to the text, what is perceived as the new oil in the context of unsplash.com/de/@filmlav picture?

Data

Which aspect is crucial in ensuring that data resources do not become a honey pot for attacks?

Data lineage tools

What is the ontological reversal as described in the text?

Data creates and reflects physical reality

What is the consequence of no data literacy?

False, biased, or misinterpreted output leading to ill-informed decisions

What is the main focus of the project referred to in the quote by Hugo Ceulemans?

Data imagination

What does the term 'Skywise' refer to in the context of the aviation industry?

Data lineage tools

What makes an apple qualitative?

Its ability to meet your requirements

What is the purpose of de-duplication in ML pipelines?

To avoid overfitting in the ML-model

What does 'timeliness' refer to in the context of data quality assessment?

The extent to which the data is sufficiently up-to-date for the task

What is the primary focus of a chief data officer according to the text?

Ensuring data security, privacy, integrity, quality, regulatory compliance, and governance

What do ISO/IEC 29100:2011 and ISO/IEC 27001 primarily provide?

A framework for information security management systems and a standard for privacy safeguarding considerations

Which process does data lineage help in tracking?

The flow of data over time within the data pipeline

What do data brokerage and aggregation ecosystems aim to achieve?

Facilitate data hoarding and monopolization

What is the primary function of federated analytics ecosystems?

Ensuring data segregation for secure analysis

What challenge is commonly associated with collaborative data-supply-chain ecosystems?

Data duplication and redundancy

In the context of industrial ecosystems, what is a significant barrier to exchanging data?

Lack of clarity in data ownership

What is a key factor contributing to the challenge of exchanging data in industrial ecosystems?

Insufficient management and administration capabilities

What did Andrew Ng consider as the defensible barrier for many businesses?

Access to someone else's data

What is identified as the new oil in the context of unsplash.com/de/@filmlav picture?

Data

What does 'Skywise' refer to in the context of the aviation industry?

A data-sharing ecosystem

What does 'timeliness' refer to in the context of data quality assessment?

Relevance and usefulness of data at a given time

What are the key focus areas for synthetic data?

Synthesizing new data samples

'Uniqueness' refers to what aspect of real-world entities or concepts?

The characteristic that differentiates real-world entities or concepts

What is the purpose of de-duplication in ML pipelines?

To avoid overfitting by removing redundant data

Which principle relates to processing of personal data according to regulatory requirements?

Data security and privacy

What does ISO/IEC 27001 primarily provide?

A standard for information security management systems

What is the process of tracking the flow of data over time called?

Data lineage

What do data sharing ecosystems arise from?

Local regulations and standards

What is the purpose of 'Skywise' in the aviation industry?

To track and analyze in-flight, engineering, and operations data

What is the primary focus of data literacy?

To use data productively and to think about it in a critically reflective way

Why is it important to question information?

To avoid being fooled with charts

What is the typical reason why machine learning applications fail?

Production data differing from training data

What is the impact of no data literacy?

False, biased, or misinterpreted output leading to ill-informed decisions

What can go wrong with scanning a document?

Low quality data

What makes an apple qualitative?

Its ability to meet your requirements

What is the main focus of data brokerage and aggregation ecosystems?

Enabling real-time data sharing

What challenge is commonly associated with federated analytics ecosystems?

Lack of ontologies

What do collaborative data-supply-chain ecosystems aim to achieve?

Optimizing synthetic data generation

Which aspect is crucial in ensuring that data resources do not become a honey pot for attacks?

Uniqueness

What is the primary function of a chief data officer according to the text?

Promoting a data-driven culture and mindset

'Uniqueness' refers to what aspect of real-world entities or concepts?

The distinctiveness and rarity

'Offense wins games (but) defense wins championships' is mentioned in reference to which context?

The value of defensive strategies in achieving long-term success

This quiz covers the concept of data uniqueness and the need for deduplication in machine learning pipelines to prevent overfitting. It discusses how real-world entities or concepts should be represented uniquely and provides examples of redundant data in the form of city names and paper DOI numbers.

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