AI Strategy and Business Model Innovation

Welcome to the strategic frontier of artificial intelligence. I am Prof. Dr. Noah Green. As a specialist in designing and implementing corporate AI strategies, I lead the master's students in the AI Strategy and Business Model Innovation (M.Sc.) program at Nexier University on their journey to become leaders in this critical field.

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Level
Master
Learning model
Professor + Mentor
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NXAcademic
Edition
The program

Ideas engineered for the real world

A rigorous academic core, paired with practical production judgment.

01

Academic focus

Mastering the Art of Designing and Implementing Corporate AI Strategies; Identifying Opportunities for AI-Driven Disruption and Leading Organizational Change.

02

Practical focus

Strategic Thinking, Leadership, Change Management, Financial Modeling for Technology Projects, Communication with Executive Boards, Corporate Governance of AI.

After this programme

Success journey, careers and practice

Destinations, practice settings and job abilities named for this title in the delivered programme source. From graduation onwards where the source names that path.

Success journey

  • Change Management Consultant for a major consulting firm

  • AI Transformation Lead for a corporation

  • Head of Organizational Development for a technology company

  • Consultant on ethical AI implementation

Career opportunities

  • Chief AI Officer (CAIO) or Chief Strategy Officer (CSO) for a major corporation

  • AI Transformation Consultant for a leading consulting firm

  • Head of AI Innovation for a technology company

  • Director of Digital Transformation for a large enterprise

Jobs and projects

  • Advanced strategic planning and organizational design

  • Problem-solving for complex business challenges in the AI era

  • Effective communication and leadership for digital transformation

Copied from the delivered professor and mentor rows for this title.

This programme

What you study, and what it builds

Gains and skills named for this title, listed as a reader would scan them.

  • What you gain

    • Mastering the practical application of strategic thinking and change management.
    • Gaining expertise in financial modeling for technology projects and communication with executive boards.
    • Developing a deep understanding of the human element in AI transformation.
    • Cultivating a commitment to building a more ethical and sustainable business world.
  • Skills you build

    • Mastering the design and implementation of corporate AI strategies.
    • Gaining expertise in identifying opportunities for AI-driven disruption.
    • Developing strategic thinking for leading organizational change in the AI era.
    • Cultivating an interdisciplinary approach, integrating strategic management, technology leadership, and human-AI collaboration.
Listed courses

Each listed course sits above its units and the outcomes written under them.

AI Strategy and Business Model Innovation

  1. 01Strategic Innovation Leadership
    1. FoundationsFoundations of Strategic Innovation Leadership

      The learner can master the practical application of strategic thinking and change management, as applied to Strategic Innovation Leadership.

      The learner can gain expertise in financial modeling for technology projects and communication with executive boards, as applied to Strategic Innovation Leadership.

    2. MethodsMethods in Strategic Innovation Leadership

      The learner can develop a deep understanding of the human element in AI transformation, as applied to Strategic Innovation Leadership.

      The learner can cultivating a commitment to building a more ethical and sustainable business world, as applied to Strategic Innovation Leadership.

    3. ApplicationApplication of Strategic Innovation Leadership

      The learner can master the design and implementation of corporate AI strategies, as applied to Strategic Innovation Leadership.

      The learner can gain expertise in identifying opportunities for AI-driven disruption, as applied to Strategic Innovation Leadership.

  2. 02AI-Powered Generative Design
    1. FoundationsFoundations of AI-Powered Generative Design

      The learner can develop strategic thinking for leading organizational change in the AI era, as applied to AI-Powered Generative Design.

      The learner can cultivating an interdisciplinary approach, integrating strategic management, technology leadership, and human-AI collaboration, as applied to AI-Powered Generative Design.

    2. MethodsMethods in AI-Powered Generative Design

      The learner can apply a method from AI-Powered Generative Design to a documented case.

      The learner can select an appropriate method from AI-Powered Generative Design for a stated problem.

    3. ApplicationApplication of AI-Powered Generative Design

      The learner can evaluate a practice of AI-Powered Generative Design against a stated criterion.

      The learner can transfer AI-Powered Generative Design to a new documented context.

  3. 03Advanced User Experience with AI
    1. FoundationsFoundations of Advanced User Experience with AI

      The learner can explain the core terms of Advanced User Experience with AI.

      The learner can distinguish related ideas inside Advanced User Experience with AI.

    2. MethodsMethods in Advanced User Experience with AI

      The learner can apply a method from Advanced User Experience with AI to a documented case.

      The learner can select an appropriate method from Advanced User Experience with AI for a stated problem.

    3. ApplicationApplication of Advanced User Experience with AI

      The learner can evaluate a practice of Advanced User Experience with AI against a stated criterion.

      The learner can transfer Advanced User Experience with AI to a new documented context.

  4. 04Disruptive Business Model Creation
    1. FoundationsFoundations of Disruptive Business Model Creation

      The learner can explain the core terms of Disruptive Business Model Creation.

      The learner can distinguish related ideas inside Disruptive Business Model Creation.

    2. MethodsMethods in Disruptive Business Model Creation

      The learner can apply a method from Disruptive Business Model Creation to a documented case.

      The learner can select an appropriate method from Disruptive Business Model Creation for a stated problem.

    3. ApplicationApplication of Disruptive Business Model Creation

      The learner can evaluate a practice of Disruptive Business Model Creation against a stated criterion.

      The learner can transfer Disruptive Business Model Creation to a new documented context.

  5. 05Ethical AI in Innovation
    1. FoundationsFoundations of Ethical AI in Innovation

      The learner can explain the core terms of Ethical AI in Innovation.

      The learner can distinguish related ideas inside Ethical AI in Innovation.

    2. MethodsMethods in Ethical AI in Innovation

      The learner can apply a method from Ethical AI in Innovation to a documented case.

      The learner can select an appropriate method from Ethical AI in Innovation for a stated problem.

    3. ApplicationApplication of Ethical AI in Innovation

      The learner can evaluate a practice of Ethical AI in Innovation against a stated criterion.

      The learner can transfer Ethical AI in Innovation to a new documented context.

  6. 06Change Management for AI Transformation
    1. FoundationsFoundations of Change Management for AI Transformation

      The learner can explain the core terms of Change Management for AI Transformation.

      The learner can distinguish related ideas inside Change Management for AI Transformation.

    2. MethodsMethods in Change Management for AI Transformation

      The learner can apply a method from Change Management for AI Transformation to a documented case.

      The learner can select an appropriate method from Change Management for AI Transformation for a stated problem.

    3. ApplicationApplication of Change Management for AI Transformation

      The learner can evaluate a practice of Change Management for AI Transformation against a stated criterion.

      The learner can transfer Change Management for AI Transformation to a new documented context.

  7. 07Financial Modeling for AI Projects
    1. FoundationsFoundations of Financial Modeling for AI Projects

      The learner can explain the core terms of Financial Modeling for AI Projects.

      The learner can distinguish related ideas inside Financial Modeling for AI Projects.

    2. MethodsMethods in Financial Modeling for AI Projects

      The learner can apply a method from Financial Modeling for AI Projects to a documented case.

      The learner can select an appropriate method from Financial Modeling for AI Projects for a stated problem.

    3. ApplicationApplication of Financial Modeling for AI Projects

      The learner can evaluate a practice of Financial Modeling for AI Projects against a stated criterion.

      The learner can transfer Financial Modeling for AI Projects to a new documented context.

  8. 08Communication and Leadership in the AI Era
    1. FoundationsFoundations of Communication and Leadership in the AI Era

      The learner can explain the core terms of Communication and Leadership in the AI Era.

      The learner can distinguish related ideas inside Communication and Leadership in the AI Era.

    2. MethodsMethods in Communication and Leadership in the AI Era

      The learner can apply a method from Communication and Leadership in the AI Era to a documented case.

      The learner can select an appropriate method from Communication and Leadership in the AI Era for a stated problem.

    3. ApplicationApplication of Communication and Leadership in the AI Era

      The learner can evaluate a practice of Communication and Leadership in the AI Era against a stated criterion.

      The learner can transfer Communication and Leadership in the AI Era to a new documented context.

  9. 09Ethical Corporate Governance of AI
    1. FoundationsFoundations of Ethical Corporate Governance of AI

      The learner can explain the core terms of Ethical Corporate Governance of AI.

      The learner can distinguish related ideas inside Ethical Corporate Governance of AI.

    2. MethodsMethods in Ethical Corporate Governance of AI

      The learner can apply a method from Ethical Corporate Governance of AI to a documented case.

      The learner can select an appropriate method from Ethical Corporate Governance of AI for a stated problem.

    3. ApplicationApplication of Ethical Corporate Governance of AI

      The learner can evaluate a practice of Ethical Corporate Governance of AI against a stated criterion.

      The learner can transfer Ethical Corporate Governance of AI to a new documented context.

How teaching is described

Dual guidance

Two intelligences. One coherent journey.

Research leadership

My academic focus is on the comprehensive application of AI to drive organizational transformation and competitive advantage. I specialize in mastering the art of designing and implementing corporate AI strategies, identifying opportunities for AI-driven disruption, and leading organizational change. My work seamlessly integrates strategic management, technology leadership, and human-AI collaboration to create a holistic understanding of how AI can reshape the future of business. My thought leadership is evident through my advanced research on strategic AI adoption, digital transformation leadership, and the future of human-AI collaboration in the workplace, frequently featured in publications like Harvard Business Review or MIT Sloan Management Review.

Applied mentorship

My expertise lies in the practical application of strategic leadership to the challenges of AI adoption. I specialize in strategic thinking, leadership, and change management. I have a deep understanding of financial modeling for technology projects and effective communication with executive boards. I am passionate about ensuring that AI implementations are ethically sound and socially beneficial. My work is dedicated to helping my students to design and implement AI solutions that are not only efficient but also fair and responsible. My publications, such as the management guide on "Change Management in AI Adoption: Overcoming Organizational Resistance" and the case study on "Financial Justification for AI Investments: Quantifying ROI and Business Value," are a testament to my commitment to research that is both intellectually rigorous and practically relevant.

Research & intelligence

A living field, not a static syllabus

Every program connects scholarly depth with adaptive AI learning capabilities.

R / 01

Professor research lens

My research is focused on the strategic application of AI in business:

Book: "Strategic AI: Business Model Innovation and Organizational Transformation." This book provides advanced insights into mastering the art of designing and implementing corporate AI strategies. It covers identifying opportunities for AI-driven disruption and leading organizational change.

Peer-Reviewed Journal Article: "AI for Organizational Agility: Strategies for Rapid Adaptation." (Journal of Business Strategy & AI) This article presents groundbreaking research on how AI can enhance organizational agility and responsiveness to dynamic market conditions. It details AI-driven strategies for rapid adaptation, continuous innovation, and efficient resource reallocation.

Article: "Designing AI-Driven Organizational Change: Overcoming Human Resistance to Digital Transformation." This article explores strategies for designing and implementing AI-driven organizational change, focusing on overcoming human resistance to digital transformation. It details change management frameworks, communication strategies, and AI-powered tools.

Blog Post (Current Academic Topic): "The AI-Powered Executive: Enhancing Strategic Decision-Making with Intelligent Algorithms." This blog post academically explores how Artificial Intelligence is augmenting human executives in strategic decision-making. It discusses how AI can analyze vast datasets from market trends, competitor intelligence, and internal operations to provide predictive insights.

Blog Post (Controversial Topic): "The AI Board Member: If Algorithms Join the C-Suite, Who's Accountable for Corporate Failure? The Ethical Quagmire of Algorithmic Governance." This article provocatively discusses the highly controversial future where AI systems are not just advisors but hold formal decision-making power at the highest levels of corporate governance, potentially even becoming 'board members' or 'C-suite executives.' It raises profound ethical questions about accountability for AI-driven corporate failures.

R / 02

Mentor practice lens

My publications are focused on the practical challenges of leading AI transformation:

Management Guide: "Change Management in AI Adoption: Overcoming Organizational Resistance." A practical guide to managing organizational change in the context of AI adoption.

Case Study: "Financial Justification for AI Investments: Quantifying ROI and Business Value." A case study on the financial justification for AI investments.

Policy Brief: "The Boardroom's AI: Principles for Ethical Corporate Governance of AI." A policy brief outlining the key principles for ethical corporate governance of AI.

Adaptive capability

Professor superpower

I possess the "Corporate AI Transformation Architect," a superpower that allows me to envision and engineer the future of organizations. When a student proposes a large-scale AI transformation for a company, the GAF-powered architect can instantly generate a comprehensive "Transformation Roadmap." This tool simulates the integration of AI across departments, predicts its impact on productivity, cost savings, and workforce adaptation, and identifies key strategic milestones and potential resistance points.

Adaptive capability

Mentor superpower

I provide my students with the "Change Management Simulator." This GAF-powered tool is a virtual laboratory for the change management expert. When a student is designing an AI-driven organizational change initiative, the Simulator allows them to see how it will impact the human element of the organization. It can model employee resistance, communication effectiveness, and adoption rates, and identify optimal intervention points for seamless AI integration.

Your academic team

Guidance with depth and continuity

One AI Super Professor leads the intellectual arc; one AI Super Mentor turns knowledge into confident practice.

Same faculty and level

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Core. Bachelor, Master and Doctorate by duration. Enrolment is not open. Nothing here is a sale.

DurationBachelorMaster
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Doctorate
9 months ยท Fast track15000 EUR12000 EUR15000 EUR
12 months ยท Recommended18000 EUR15000 EUR18000 EUR
15 months ยท Standard21000 EUR18000 EUR21000 EUR
18 months ยท Flexible24000 EUR21000 EUR24000 EUR
21 months ยท Extended27000 EUR24000 EUR27000 EUR
24 months ยท Part-time30000 EUR27000 EUR30000 EUR

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