AI+ Chief AI Officer™

AI Leadership for Chief Officers: Driving Innovation and Intelligence
  • Leadership Upgrade: Equip C-suite executives to lead AI-driven innovation
  • Efficiency Focus: Use AI tools to optimize operations, decision-making, and resources
  • Strategic Role: Aligns AI implementation with business intelligence goals
  • Course + Exam: Combines theory and practical insights in a compact format

Módulos

  • Module 1: Foundations of AI and Leadership in the Digital Era:

    1.1 Defining Artificial Intelligence

    1.2 Key AI Technologies

    1.3 The CAIO’s Unique Role

    1.4 Navigating Cybersecurity Challenges

    1.5 Establishing Cross-Departmental Collaboration

    1.6 Case Study

  • Module 2: Crafting a Strategic AI Roadmap :

    2.1 Aligning AI with Business Objectives

    2.2 Setting Measurable Goals

    2.3 Identifying Opportunities for Innovation

    2.4 Engaging Stakeholders Across Departments

    2.5 Monitoring Progress and Adjusting Plans

    2.6 Case Study

  • Module 3: Building a High-Performance AI Team :

    3.1 Key Roles in an AI Team

    3.2 Recruitment Strategies for Top Talent

    3.3 Cultivating a Collaborative Culture

    3.4 Continuous Learning Initiatives

    3.5 Evaluating Team Performance

    3.6 Case Study

  • Module 4: Ethics in AI Governance and Risk Management :

    4.1 Integrating Ethical Frameworks into AI Development

    4.2 Conducting Ethical Impact Assessments

    4.3 Developing Risk Mitigation Strategies

    4.4 Establishing Transparency Protocols

    4.5 AI Governance Models and Frameworks

    4.6 Case Study

  • Module 5: Data-Driven Decision-Making and Business Impact Assessment:

    5.1 The Role of Data in AI Initiatives

    5.2 Business Impact Assessment Frameworks

    5.3 Measuring ROI from AI Investments

    5.4 Hypothesis Testing in AI Projects

    5.5 Resource Allocation Strategies

    5.6 Case Study

  • Module 6: Driving Organization: Wide Adoption of AI :

    6.1 Creating Change Management Strategies

    6.2 Communicating the Value of AI Initiatives

    6.3 Addressing Resistance to Change

    6.4 Metrics for Success Evaluation

    6.5 Case Study

  • Module 7: Leveraging Generative AI for Business Innovation:

    7.1 Understanding Generative AI Capabilities

    7.2 Identifying Areas for Innovation with Generative AI

    7.3 Integrating Generative Solutions into Business Processes

    7.4 Managing Risks Associated with Generative Applications

    7.5 Creating Interdepartmental Synergies with Generative AI

    7.6 Case Study

  • Module 8: Capstone Project :

    8.1 Project Overview and Objectives

    8.2 Collaborative Work Sessions

    8.3 Presentation Skills Workshop

    8.4 Final Presentations and Constructive Feedback

    8.5 Reflection on Key Takeaways from the Course Experience

  • Optional Module: AI Agents for Chief AI Officer:
    1. 1. What Are AI Agents
    2. 2. Key Capabilities of AI Agents for the Chief AI Officer
    3. 3. Applications and Trends of AI Agents for the Chief AI Officer
    4. 4. How Does an AI Agent Work
    5. 5. Core Characteristics of AI Agents
    6. 6. Types of AI Agents

Herramientas de IA

  • LeewayHertz (ZBrain)
  • C3.ai
  • Coupa (LLamasoft)
  • Zebra (Workcloud Demand Intelligence Suite)
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