Free Download Data Monetization And Ai Value Creation Strategy Masterclass
Published 4/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 562.32 MB | Duration: 1h 7m
A Tested Data and AI Strategy,Monetization Approach,Frameworks,Maturity Assessment,Use Cases,Business Case and Roadmap
What you'll learn
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
Requirements
This course does not assume any prior knowledge of Data, Artificial Intelligence. Bring your business and managerial experience and the course will get you started with the Data & AI value creation journey.
Description
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!Bing
Overview
Section 1: Introduction and Course Outline
Lecture 1 Introduction
Lecture 2 Course Outline
Section 2: Data, AI and Business Value Creation Overview
Lecture 3 ChatGPT, Data, AI and LLM
Lecture 4 Why Business Value Creation in Data & AI is Critical to Every Business
Lecture 5 Data & AI Potential Business Impact (McKinsey Research)
Section 3: Data and AI Value Creation Strategy
Lecture 6 Operations Optimization Use Cases: Internal + Low Data Quality
Lecture 7 Business Transformation Use Cases: Internal + High Data Quality
Lecture 8 Raw and Aggregated Data Monetization Use Cases: External + Low Data Quality
Lecture 9 Incremental Data Monetization Use Cases: External + High Data Quality
Lecture 10 Data & AI Value Creation Business Driver Framework
Section 4: Data and AI Value Creation Approach
Lecture 11 Data & AI Value Creation Vision and Business Strategy Alignment
Lecture 12 Data Value Creation Maturity Assessent Framework
Lecture 13 Fit-Gap Analysis and Stakeholder Interview Agenda
Section 5: Data and AI Value Creation Use Case and Business Case
Lecture 14 Use Case One-Pager and Backlog Creation
Lecture 15 Use Case Prioritization Mechanism and Workshop Planning
Lecture 16 Data & AI Value Creation Business Case Development
Section 6: Data and AI Value Creation Roadmap
Lecture 17 Craft the Data & AI Value Creation Project Storyline
Lecture 18 Develop Data & AI Value Creation Roadmap incl. POC and Industrialization
Section 7: Recap and Closing Thoughts
Lecture 19 Course Recap
Lecture 20 Closing Thoughts
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
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