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Data Monetization And Ai Value Creation Strategy Masterclass https://warez-v3.org/viewtopic.php?t=313212 |
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Author: | TUTBB [ Thu Apr 18, 2024 5:06 pm ] |
Post subject: | Data Monetization And Ai Value Creation Strategy Masterclass |
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 Homepage
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