Data Monetization And Ai Value Creation Strategy Masterclass

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[/center]
| 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