AI Value Creation and Data Monetization Strategy Masterclass

• Data, Artificial Intelligence and LLM
• Latest Data and AI Trend
• Data Lifecycle Management
• Business Impact of Hyper Personalization based on McKinsey Research
• 4 Data & AI Value Creation Strategies
• Value Creation Business Driver Framework
• Proven Data & AI Value Creation Use Cases and Case Studies
• Data & AI Vision and Business Strategy Alignment
• Operations Optimization Strategy and Use Cases
• Business Transformation Strategy and Use Cases
• Raw and Aggregated Data Monetization Strategy and Use Cases
• Incremental Data Monetization Strategy and Use Cases
• Business Driver Value Tree
• Data & AI Value Creation Maturity Assessment Framework
• Current State and Target State Fit-Gap Assessment
• Critical Business Questions for Stakeholder Interviews
• Data & AI Value Creation Use Case One-Pager Template
• Data & AI Value Creation Use Case Backlog Management
• Data & AI Value Creation Use Case Prioritization Approach
• Business Case Development
• Data & AI Value Creation Storytelling
• Data & AI Value Creation Roadmap Development
• Proof of Concept and Industrialization Design
• Roadmap Rationalization

Data is the new fuel for the 21st century, and are you ready to explore innovative use cases and real-world examples of successful data monetization and AI value creation? In today’s rapidly evolving digital landscape, data has emerged as the new currency, and Artificial Intelligence as the catalyst for transformative change across different industries.

What you will learn in this course is based on my real-life strategy consulting client success stories. As an example, I recently helped my client, one of the largest banks in Europe, secure €1 million funding per year for a multi-year data and AI value creation initiative. I’ll walk you through these proven data and AI value creation strategies and all of the fundamentals to set you for success in the data-led transformation journey.

What Are the Key Topics Of This Course?

• How can organizations unlock the untapped business value of their data rapidly to drive revenue growth, optimize operations, and stay ahead of the competition?

• What’s the latest trend of Data and AI? What are the potential business impacts?

• What is the tested Strategy Consulting approach to Data & AI business value creation?

• How to leverage AI and LLM to monetize data both internally and externally? What are the data product strategies?

• How to assess the As-Is data and AI maturity level and identify gaps to achieve the target state?

• How to align Data and AI initiatives with business strategy to steer the data-driven transformation to the right direction?

• How to align value creation strategies with key business drivers? What’s the business value tree?

• How to create data and AI use cases continuously and what is the mechanism to prioritize business-critical use cases?

• What are the critical business questions to interview stakeholders?

• How to craft a compelling data and AI business case to secure funding?

• How to develop an actionable multi-year roadmap to implement data and AI value cases?

If these questions resonate with you, you are in the right place to find insights and answers!

Enroll now and embark on a journey towards unlimited possibilities in the Data and AI business value creation world! Thank you for your interest and I will see you in my course!

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Who this course is for:

• CEOs, CDOs, CTOs, and business leaders seeking to leverage data and AI to drive revenue growth and innovation
• Entrepreneurs and startup founders seeking to build data-driven businesses and unlock new revenue streams through data monetization and AI
• Data scientists, analysts, and AI professionals looking to enhance their skills and knowledge in data monetization and AI value creation
• Marketing professionals and digital marketers interested in leveraging data and AI to optimize marketing campaigns and drive customer engagement
• Product managers and product development professionals responsible for creating data-driven products and services
• Consultants, advisors, and business analysts advising clients on data strategy and AI implementation
• IT managers, technology leaders, and IT professionals responsible for implementing data and AI solutions within their organizations
• Finance professionals, investment analysts, and venture capitalists interested in understanding the financial implications of data monetization and AI investments
• Government officials, policymakers, and regulators involved in shaping data policy and governance
• Academic researchers, educators, and students interested in exploring the latest trends and developments in data monetization and AI