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Questions and Answers
What is the main challenge for companies in quantifying and measuring the value contribution of AI initiatives?
Who acknowledges the tremendous value potential of artificial intelligence (AI) and the subfield of machine learning (ML)?
What holds tremendous value potential for businesses, the economy, and society?
What is mentioned as one of the reasons for the uneven and non-linear increase in the payouts of AI's benefits?
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Which entity is NOT mentioned as concurring with the value potential of AI?
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What is acknowledged alongside the acknowledgment of AI's value potential?
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How does the algorithm help the business to offer a new product or service?
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Does the application improve an existing product or service?
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How can the algorithm be translated into additional profit by improving customer retention?
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What is the main external value generation driver for the mobile taxi ordering service?
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How does the algorithm enable the creation of a new business model?
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"How much additional profit will be generated?" Which value calculation approach does this question relate to?
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What is a key factor in the internal generation of value through AI applications?
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Which of the following is an example of improved resource consumption through AI applications?
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How does AI contribute to increased operational efficiency?
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Which AI application example demonstrates improved access to information and decision making?
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How can operational risk be reduced through the use of AI applications?
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What is one of the challenges in quantifying benefits for external AI applications?
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What risk is associated with overemphasizing return expectations in the early stages of AI use case selection?
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What does the term 'use cases' refer to in the context of the article?
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What should be differentiated when assessing investment expenditures for AI applications?
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What must AI product managers estimate in order to reach the value threshold for AI applications?
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What are the main value drivers for AI applications?
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What do decision makers need to differentiate when calculating use case returns?
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What should be taken into account in the Return on AI (ROAI) calculation?
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In what form can false outputs arise in AI applications?
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What stage does the early exploration of first proofs of concept for AI entail?
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What is becoming increasingly important with the successful operationalization of AI applications across technology domains?
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What must organizations strive to capture to become a market leader in utilizing AI technologies' full value potential?
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What should be leveraged to increase overall AI maturity after short to mid-term value capture?
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What should be integrated into a multistep journey for a holistic AI transformation?
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What is required to reach the break-even point and create a significant return on investment in AI deployment?
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What is an example of a false output in predictive maintenance cases?
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What should be considered in the Return on AI (ROAI) calculation based on the given information?
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What is an important aspect to consider when determining investment expenditures for AI applications?
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Which activity falls under the ML lifecycle core activities and cost categories?
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What does the process diagram on page 13 provide practical guidance for?
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What is one of the activities involved in AI application life cycle from ideation to productive ML operation?
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What is crucial for organizations to realistically assess when determining investment expenditures for AI applications?
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What should organizations set up when assessing the value of AI applications?
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What is the main focus of the 'Return on AI (ROAI)' calculation mentioned in the text?
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What is emphasized as an important consideration for organizations when determining investment expenditures for AI applications?
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What should AI product managers estimate to ensure reaching the value threshold for AI applications?
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Which factor is highlighted as causing uneven and non-linear increase in the payouts of AI's benefits?
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What is identified as a core lever to facilitate a thorough, transparent calculation of AI use case returns?
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In what way does the text suggest that companies tend to use AI as they mature into AI leaders?
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What is a major challenge for companies when quantifying and measuring the value contribution of AI initiatives?
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What is a key factor in the internal generation of value through AI applications?
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What should organizations set up when assessing the value of AI applications?
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How can operational risk be reduced through the use of AI applications?
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What does the algorithm aim to achieve by automating the filing, documentation, and rediscovery of invoices and delivery notes?
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What holds tremendous value potential for businesses, the economy, and society?
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What is the primary focus when an algorithm improves resource consumption?
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What is one of the challenges in quantifying benefits for external AI applications?
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How does the algorithm contribute to improved speed of operations?
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What is the result of the algorithm's enhanced access to information and decision-making processes?
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How does the algorithm's application in analyzing a large variety of documents impact operational risk?
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What significant contribution does AI offer to the innovation performance of the economy according to the text?
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What does the ML lifecycle involve from ideation to productive ML operation?
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What is the main source of value identification in the AI value assessment approach?
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What is a crucial aspect mentioned for organizations when determining investment expenditures for AI applications?
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What does the AI application's entire life cycle include for investment expenditure assessment?
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What is included in the strategic and organizational learning in the AI value assessment approach?
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What is involved in the collection of historical evidence on AI-based value creation in the AI value assessment approach?
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Which factor can be improved through the use of AI in the current process?
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What is a potential impact of AI on external value generation drivers in various industries?
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What is a potential benefit of AI in the context of offering a new product or service for a business?
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How can the algorithm contribute to improved customer retention for a business?
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What is a potential calculation approach for obtaining additional profits in the taxi AI-enabled market?
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Which AI application example demonstrates improved access to information and decision making?
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What should be considered in the Return on AI (ROAI) calculation based on the given information?
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What is one of the challenges in quantifying benefits for external AI applications?
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What is acknowledged alongside the acknowledgment of AI's value potential?
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What is mentioned as one of the reasons for the uneven and non-linear increase in the payouts of AI's benefits?
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What is an example of a false output in predictive maintenance cases?
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Which activity falls under the ML lifecycle core activities and cost categories?
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What stage does the early exploration of first proofs of concept for AI entail?
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