Artificial Intelligence for Senior Leaders (Batch-13)

For senior leaders, the challenge is no longer understanding what AI is but determining how it can be deployed to create sustainable competitive advantage. This program is designed to provide executives with a rigorous framework to integrate AI into corporate strategy, develop business and lead a data-driven culture that scale. AI is used to drive:1. Innovation2. Automation3. Intelligence and Insights4. Agents

Sophistication in AI is expected to be the main differentiator between high performing companies and low-performing companies. The use of AI and its components such as statistical, machine and deep learning algorithms are expected to increase the stakeholder value and customer experience and satisfaction. The algorithmic aspects of AI are available readily through many sources; however, many companies still struggle to integrate AI into their organizational structure.

For example, companies struggle to find answers to the following questions: What constitutes an AI first company? What should be the strategy for building an AI initiative within an organization? What product can we build that was previously impossible without AI? How to build an AI team? What problems can be solved using AI? Understand Generative AI and Its use as operating model.

Introduction to Artificial Intelligence (AI), Machine Learning (ML), Statistical Learning (SL) and Deep Learning (DL): Intuitive understanding of AI and Gen AI, Relationship between AI, ML, SL and DL; Converting a business problem into an analytics problem; analytics problem solving framework; Usecases of AI and Gen AI across different functional areas and industries; Business process automation using AI.

Machine Learning: Machine learning is the backbone of AI and Gen AI. We will discuss various algorithms such as Supervised, Unsupervised and Reinforcement Learning Algorithms. AI/ML Model Development: Feature Extraction; Feature Engineering; Feature Selection; Model Selection and Model Deployment.

Introduction to Descriptive, Predictive and Prescriptive Analytics:

Objectives of Descriptive Analytics: Storytelling using Data; Predictive Analytics Models: Regression, and Logistic Regression; Prescriptive Analytics: Linear Programming and Multi-Criteria Decision Making.

Generative and Agentic AI:

Develop strategies for Generative and Agentic AI adoption: Build a roadmap for integrating Generative and Agentic AI into the organization. Understand data governance and infrastructure requirements for AI-driven innovation. Align technology, platform, and talent strategies with AI objectives. Explore the principles and applications of Generative AI, including content creation, simulation, and personalization. Gain insights into Agentic AI systems, focusing on autonomous decision-making, multi-agent systems (MAS), and adaptive problem-solving.

Cases: Package Pricing at Mission Hospital; Improving Sales Conversion at Eureka Forbes using Machine Learning Algorithms.

Setting up an AI team: Choosing the right team; roles and responsibilities; Organizational Structure: centralized and distributed models; key skill set; fresh hire vs internal training.

Analytics Technology Landscape: Choosing the right tools and platforms for development and deployment of AI-based solutions.

Data Governance: Data Governance Framework; Data Privacy, Security, Quality and Responsibility; Digital Personal Data Protection (DPDP).

AI Deployment: AI in Sales and Marketing: Opportunity and Sales Conversion; Channel Optimization; Customer Lifetime Value; AI in operations: Supply Chain Analytics; AI in Retail: Assortment Planning, Brand Switching, Promotion Effectiveness; AI in Banking and Finance: Credit Rating.

The program will be driven by use cases from across different domains. The focus will be on strategic issues of AI with limited focus on hands-on experience.

The program is designed for leaders with at least 10 years of experience who are either working in the field of AI or planning to set up AI team

As a participant of this Short Duration Programme, you will be able to enjoy some exclusive benefits other than the outcomes such as skills and knowledge enhancement and building specific competencies that can help shape your career growth.

Some of the exclusive benefits of attending this programme are listed below –

Ms. SandhyaMobile: +91-9036548064Email: sandhya.saravanan@iimb.ac.in