Exclusive AI Masterclass For Business & Technology Leaders

An Exclusive Program for Business and Technology Leaders

This immersive program is designed exclusively for senior business and technical leaders who need to oversee AI transformation responsibly, balancing innovation, profitability, and trust. It provides a strategic blueprint, guiding the organization from foundational AI concepts through full execution and cultural transformation.

Participants will leave with a clear understanding of the landscape and coursework that includes an actionable roadmap to guide their own company's AI journey.

Kshitij (KK) Kumar Top 100 Global Chief Data & AI Officer

KK has served as Chief Data/AI Officer and Enterprise Board member across prominent organizations including Haleon, Farfetch, and OneFootball. Recognized among the World's Top 100 Chief Data Officers (2023, 2024) and Top 100 Data Influencers (2024), he possesses deep expertise in leveraging Generative AI, Agentic AI, and Machine Learning to drive transformative business outcomes.

The program is structured into four progressive phases, covering 12 comprehensive modules.

Phase 1: Strategy and Technical Foundation

Establishes the essential knowledge base for making informed investment decisions.

• Strategy & Budgeting: Defining AI strategy aligned with core business objectives and addressing the basics of budgeting for AI investment.
• AI Fundamentals: Clarity on the distinct business value of Machine Learning, Generative AI, and AI Agents vs. RPA.
• LLM Strategy: Navigating the trade-offs between Public vs. Private LLM deployment and choosing between Fine-Tuning and Retrieval-Augmented Generation (RAG).

Phase 2: Readiness and Governance

Ensures the necessary infrastructure and ethical guardrails are in place before development.

• Data Readiness: Assessing Data Architecture, including the role of Data Lakes and Lakehouses, to establish a Minimal Viable Data Foundation.
• Responsible AI: Practical steps for maintaining trade secrets, PII security, protecting against Prompt Injection, and establishing a right-sized governance approach.

Phase 3: Execution and Organization

Details the process of turning strategy into action and building the organizational structure to sustain it.

• Prioritization: Building a weighted use-case backlog by assessing value, urgency, and feasibility.
• Build vs. Buy: A framework for weighing internal development against external solutions, analyzing Total Cost of Ownership (TCO).
• Organizational Structure: Establishing the central AI/Data organization and AI Governance Council for ongoing oversight.

Phase 4: Culture, Deep Dive, and Application

Focuses on long-term changes needed for continuous growth and hands-on learning.

• Cultural Shift: Establishing Data and AI Literacy across the organization and promoting adoption through AI Evangelization.
• Applied Learning: Industry-specific use case discussions and scenario-based problem solving.
• Final Assessment: A comprehensive evaluation to reinforce the retention of strategic and technical concepts.

• Expertise + Action: Learn from industry leaders and apply strategies to your own business.
• Strategic Thinking: Build an AI roadmap that aligns with your company's future.
• Ethical Leadership: Lead with responsibility, ensuring AI is a force for good.
• Hands-On Learning: Convert theory into real-world solutions with labs and assessments.
  

For Registration and Information:

• Website: Enterprise AI Board
• Email: [email protected]

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