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DIGITAL TRANSFORMAITON LEADERSHIP

with Focus on AI and Use Cases Outlines

The Digital Transformation Leadership with Focus on AI and Use Cases course aims to equip leaders with the skills and frameworks to drive successful digital transformation initiatives within their organizations. Participants will explore the urgency and impact of transformation, gaining insights into its foundational concepts, strategic frameworks, and the leadership qualities required to guide change. By working through workshops and real-world applications, they will learn to set a compelling transformation vision, model organizational change, and transition to digital-first business models tailored to industry-specific challenges.

A key focus is on leveraging emerging technologies, particularly AI, to drive innovation and efficiency. Participants will delve into AI’s core concepts, practical applications across industries, and strategies for adopting AI-powered tools such as predictive analytics. The course also emphasizes ethical governance, data privacy, and risk mitigation in AI deployment. Through capstone projects and collaborative exercises, attendees will design actionable digital transformation roadmaps and leave equipped with strategies to implement AI-driven solutions in their organizations and ensure to increase the sustainable profitability.

DELIVERABLE

The deliverables for students participating in the Digital Transformation Leadership with Focus on AI and Use Cases course include:

  1. Pre-Readings and Case Studies: Curated materials on AI, digital transformation concepts, and industry-specific case studies to provide foundational knowledge.
  2. Workshop Templates and Frameworks: Tools such as the CIMM Model, transformation modeling templates, and KPI dashboards to assist in practical applications.
  3. Hands-On Experience: Participation in group exercises, real-world case analyses, and brainstorming sessions to apply knowledge in realistic scenarios.
  4. Capstone Project Outputs: Customized digital transformation roadmaps and AI use case strategies tailored to specific business challenges, with peer feedback and expert insights.
  5. Practical Insights: Key takeaways, action plans, and leadership strategies to implement transformation initiatives in their own organizations.
  6. Networking Opportunities: Collaboration with peers and interaction with industry experts to build professional connections and share best practices.

“These deliverables ensure participants leave the course with actionable tools, tailored strategies, and a clear plan to drive AI-enabled digital transformation.”

COURSE OUTLINE

Day 1: Foundations and Strategy

Morning: Setting the Stage

  1. Introduction and Objectives
  • The urgency and impact of digital transformation.
  • Workshop: Digital Model by scoring their own company/team
  1. Digital Transformation 101
  • Key components and stages of transformation.
  • The role of emerging trends in shaping strategies.
  • The Digital Transformation Modeling
  • Workshop: Modeling the Transformation

Afternoon: Leadership & Strategic Frameworks and Capstone Project

  1. Leadership for Change
  • Characters of effectiveness effective leaderships
  • Building and communicating a transformation vision and company purpose
  • Workshop: Setting company digital transformation purpose
  1. Digital Business Models and Use Cases
  • Transitioning to digital-first strategies
  • Ambidextrous Model
  • Industry-specific use cases
  1. Capstone Workshop Day1: Business models Using the Leadership Traits to apply the new Digital.

Day 2: Execution and AI in Practice

Morning: Applied AI Technologies

  1. Emerging Technologies: Spotlight on AI
  • Core concepts of artificial intelligence.
  • Applications of AI in operations, customer service, and innovation.
  • Retail: Personalization through AI.
  • Healthcare: AI for diagnostics and patient care.
  • Finance: AI SME Lending & Fraud detection using machine learning.
  • Workshop Activity: Group exercise: Analyze a real-world use case to identify challenges and opportunities in AI adoption.
  1. AI-Powered Transformation
  • How AI drives efficiency and decision-making.
  • Exploring tools like natural language processing, predictive analytics, and chatbots.
  1. Data-Driven Leadership
  • Leveraging big data and AI for actionable insights.
  • Metrics and KPIs to measure success.


Afternoon: Governance, Risk and Capstone Project

  1. Workshop Activity: AI Use Case Brainstorm
  • Participants identify AI opportunities within their organizations and outline potential solutions.
  1. Governance, Risk, and Compliance
  • Mitigating AI-related risks: biases, security, and ethical challenges.
  • Ensuring data privacy and compliance with regulations.
  1. Capstone Workshop Day2:
  • Teams design an AI-enabled digital transformation roadmap tailored to a given business challenge.
  • Peer presentations and feedback.
  1. Final Session: Key Takeaways and Action Plans
  • Recap of insights and strategies.
  • Individual plans to apply workshop lessons in participants’ organizations.
Business Mastery AJ.SAM TANSKUL

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