Data & AI Imperative
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Data & AI Imperative
Designing Strategies for Exponential Growth
Pierson, Lillian
John Wiley & Sons Inc
12/2024
352
Mole
9781394251957
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
Contents
Part I: The Data & AI Advantage in Modern Business
Chapter 1: Leveling the Playing Field with Data and AI
Chapter 2: Introduction to Data Strategy
Chapter 3: Types of Data-Intensive Use Cases Based on Business Objectives
Chapter 4: Data- and AI-Driven Product-Led Growth
Chapter 5: Amplifying Growth Marketing Outcomes with Data and AI
Chapter 6: Validating Product-Market Fit for Commercial Data and AI Products and Services
Part II: The Data & AI Trifecta: Ethical Considerations, Deployment Tactics, and Competitive Analysis
Chapter 7: Complying with Regulatory and Ethical Standards
Chapter 8: Practical Tactics for Successful AI Deployments
Part III: The Technical Foundation for Growth
Chapter 9: Surveying Your Industry and Organization
Chapter 10: Perform a Technical Assessment
Chapter 11: Stakeholder Engagement and Data Literacy
Chapter 12: Assessing Your Current State Organization
Chapter 13: Assessing Your Current State AI Ethics and Data Privacy
Part IV: Formulating and Implementing an AI Strategy
Chapter 14: Selecting and Scoping a Winning Use Case
Chapter 15: Evaluating All Relevant Resources
Chapter 16: Data Strategy Recommendations for Reaching Future-State Goals
Chapter 17: Finalizing Your Strategic Plan
Part I: The Data & AI Advantage in Modern Business
Chapter 1: Leveling the Playing Field with Data and AI
Chapter 2: Introduction to Data Strategy
Chapter 3: Types of Data-Intensive Use Cases Based on Business Objectives
Chapter 4: Data- and AI-Driven Product-Led Growth
Chapter 5: Amplifying Growth Marketing Outcomes with Data and AI
Chapter 6: Validating Product-Market Fit for Commercial Data and AI Products and Services
Part II: The Data & AI Trifecta: Ethical Considerations, Deployment Tactics, and Competitive Analysis
Chapter 7: Complying with Regulatory and Ethical Standards
Chapter 8: Practical Tactics for Successful AI Deployments
Part III: The Technical Foundation for Growth
Chapter 9: Surveying Your Industry and Organization
Chapter 10: Perform a Technical Assessment
Chapter 11: Stakeholder Engagement and Data Literacy
Chapter 12: Assessing Your Current State Organization
Chapter 13: Assessing Your Current State AI Ethics and Data Privacy
Part IV: Formulating and Implementing an AI Strategy
Chapter 14: Selecting and Scoping a Winning Use Case
Chapter 15: Evaluating All Relevant Resources
Chapter 16: Data Strategy Recommendations for Reaching Future-State Goals
Chapter 17: Finalizing Your Strategic Plan
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
data and ai; data monetization; it strategy; data strategy; growth strategy; artificial intelligence; finding product market fit; fractional cmo; data project management; ai project management; data project leadership; ai project leadership; growth leadership; growth strategy framework; ai strategies; ai product management; data products; product-led growth; go to market; examples of ai
Contents
Part I: The Data & AI Advantage in Modern Business
Chapter 1: Leveling the Playing Field with Data and AI
Chapter 2: Introduction to Data Strategy
Chapter 3: Types of Data-Intensive Use Cases Based on Business Objectives
Chapter 4: Data- and AI-Driven Product-Led Growth
Chapter 5: Amplifying Growth Marketing Outcomes with Data and AI
Chapter 6: Validating Product-Market Fit for Commercial Data and AI Products and Services
Part II: The Data & AI Trifecta: Ethical Considerations, Deployment Tactics, and Competitive Analysis
Chapter 7: Complying with Regulatory and Ethical Standards
Chapter 8: Practical Tactics for Successful AI Deployments
Part III: The Technical Foundation for Growth
Chapter 9: Surveying Your Industry and Organization
Chapter 10: Perform a Technical Assessment
Chapter 11: Stakeholder Engagement and Data Literacy
Chapter 12: Assessing Your Current State Organization
Chapter 13: Assessing Your Current State AI Ethics and Data Privacy
Part IV: Formulating and Implementing an AI Strategy
Chapter 14: Selecting and Scoping a Winning Use Case
Chapter 15: Evaluating All Relevant Resources
Chapter 16: Data Strategy Recommendations for Reaching Future-State Goals
Chapter 17: Finalizing Your Strategic Plan
Part I: The Data & AI Advantage in Modern Business
Chapter 1: Leveling the Playing Field with Data and AI
Chapter 2: Introduction to Data Strategy
Chapter 3: Types of Data-Intensive Use Cases Based on Business Objectives
Chapter 4: Data- and AI-Driven Product-Led Growth
Chapter 5: Amplifying Growth Marketing Outcomes with Data and AI
Chapter 6: Validating Product-Market Fit for Commercial Data and AI Products and Services
Part II: The Data & AI Trifecta: Ethical Considerations, Deployment Tactics, and Competitive Analysis
Chapter 7: Complying with Regulatory and Ethical Standards
Chapter 8: Practical Tactics for Successful AI Deployments
Part III: The Technical Foundation for Growth
Chapter 9: Surveying Your Industry and Organization
Chapter 10: Perform a Technical Assessment
Chapter 11: Stakeholder Engagement and Data Literacy
Chapter 12: Assessing Your Current State Organization
Chapter 13: Assessing Your Current State AI Ethics and Data Privacy
Part IV: Formulating and Implementing an AI Strategy
Chapter 14: Selecting and Scoping a Winning Use Case
Chapter 15: Evaluating All Relevant Resources
Chapter 16: Data Strategy Recommendations for Reaching Future-State Goals
Chapter 17: Finalizing Your Strategic Plan
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
data and ai; data monetization; it strategy; data strategy; growth strategy; artificial intelligence; finding product market fit; fractional cmo; data project management; ai project management; data project leadership; ai project leadership; growth leadership; growth strategy framework; ai strategies; ai product management; data products; product-led growth; go to market; examples of ai
