SPJIMR > Open Management Development Programmes > Generative AI for business leaders

Overview

Generative AI is rapidly transforming how organisations innovate, compete, and create value. From marketing and customer engagement to operations, HR, finance, analytics, and product innovation, generative AI is redefining managerial decision-making across industries. As organisations move from experimentation to enterprise-wide adoption, managers need to understand not only the capabilities of generative AI but also its strategic implications, governance requirements, productivity impact, and associated risks. The challenge today is no longer whether businesses should adopt AI, but how leaders can leverage it responsibly and effectively to drive innovation, efficiency, and competitive advantage.

This programme provides a contemporary perspective on generative AI and its applications in business. Participants will gain practical exposure to emerging GenAI tools, frameworks, and use cases while understanding implementation considerations, including data privacy, ethics, governance, workforce transformation, and AI-enabled business models. Through interactive discussions, caselets, and industry examples, the programme aims to equip business leaders with actionable insights to identify high-impact AI opportunities within their organisations.

Objectives

  • Identify and evaluate opportunities for improving productivity, decision-making, and innovation using AI tools.
  • Appreciate the strategic, ethical, governance, and risk considerations associated with AI adoption.
  • Apply practical insights from industry examples and case discussions to their own organisational context.

Key topics

  • Evolution of AI: predictive AI, generative AI, agentic AI
  • Large language models (LLMs), AI assistants, AI agents and business applications
  • Generative AI use cases across marketing, HR, finance, operations, and customer service
  • AI-powered productivity, decision support, and innovation
  • Responsible AI: governance, ethics, data privacy, and risk management
  • Building an AI-ready organisation: strategy, adoption, and future trends

Pedagogy

Interactive class discussions using caselets, industry examples, and hands-on tools and exercises.

Programme Director

Jyoti Jagasia

Jyoti Jagasia

Professor and Department Chair, Information Management and Analytics

Jyoti Jagasia is a faculty in the area of information management and analytics at SPJIMR and has a strong teaching interest in digital transformation using cloud, AI, and machine learning. She holds a Ph.D. from the Birla Institute of Technology, and her doctoral research is focused on software systems.

Before joining academics in 2008, she worked in the industry for 20 years with leading roles in e-learning and R&D in the training and education industry in India. She has made notable intellectual contributions through journal publications, books, and book …

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Aditi Divatia

Aditi Divatia

Professor, Information Management and Analytics

Aditi Divatia holds a Ph.D. from the Birla Institute of Technology and Science (BITS Pilani), in the area of business analytics. She is a faculty in information management and holds a keen research interest in business intelligence and analytics.

Prior to joining academics in 2004, she was professionally engaged for over 10 years with prominent IT companies, wherein she offered project-based consulting services. She reflects her extended zeal for teaching by conducting management development programmes for professionals and executives from eminent Indian organisations.

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Who can attend

Middle-level and senior-level managers

Programme dates and fee details

Date Time Fees
Batch 1: November 20-21, 2026
Batch 2: March 12-13, 2027		 Friday – 9:00 am to 6:00 pm
Saturday – 9:00 am to 6:00 pm		 ₹25,000 + GST
(10% early bird and group discounts available)

Certificate of participation

A certificate of successful participation from S.P. Jain Institute of Management & Research (SPJIMR) will be issued to each delegate upon completion of the programme.

SPJIMR’s Open MDPs certificate of participation.

Contact details

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