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.
PROGRAMME OBJECTIVE
This short-duration program is aimed at the managers and senior leaders who are currently leading and are likely to lead AI initiatives in the organization. The course covers the aspects such as the organizational journey of AI transformation, data governance, data preparation for analytic model building and descriptive, predictive and prescriptive analytics. The objectives of the program are as follows:
Understand how to create strategy for building AI initiative within the organization with special focus on the following:
- Data governance strategy.
- Technology and Platform Strategy
- People and Skill Strategy
- Learn to create a roadmap for AI-first company.
- Understand key factors that can lead to success or failure of AI projects.
- Understand how to choose the right use cases and prioritize key AI projects.
- Learn concepts and techniques in AI, such as statistical learning, machine learning, deep learning and their applications with use cases from different sections of the industry.
- Learn tools and techniques of descriptive, predictive and prescriptive analytics Understand the applications of supervised, unsupervised and reinforcement learning algorithms.
- Understand what tasks can be automated using AI.
- Understand data governance and data readiness for the application of AI.
- Learn how an organization can build an AI team? Roles and responsibilities of AI team and hiring or training to build an AI team.
- Learn about common mistakes while making AI transformation and how to avoid them AI and society / responsible AI
- How AI can be used or what are the different use cases in different industries.
PEDAGOGY
The program will be driven by use cases from different domains. The focus will be on strategic issues of AI with limited focus on hands-on experience.
KEY BENEFITS/TAKEAWAYS
The program would result in the following benefits:
• Understand AI and its components• Develop an AI initiation strategy for the organization• Understand various AI techniques and their applications across different functional areas and sectors.• Understand data governance and how to set up and AI team within the organization• Learn the framework of developing deployable solutions using AI
