In response to Covid-19, we’re restraining from delivering the open programmes on campus.

About Programme

On the road to developing a strategy to adopt AI, executives are often held up by questions about its utility and how to implement AI in their respective organisations. There are also concerns over the ethical implications of AI, including questions around how to use it responsibly without violating the privacy or security of customers and employees while complying with government regulations. Executives are also concerned about the cultural changes that are required for organisations to embrace AI. This programme, delivered by ISB, collaboratively with Microsoft, will help business leaders from across industries transform their respective organisations into AI-driven organisations.

Date & Venue

TBD   |   ISB, Hyderabad Campus

Programme Fee

INR 1,50,000 + 18% GST

Download Brochure

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Key Learnings

  1. Demystifying AI and developing familiarity with AI jargons
  2. Developing a ‘bird's-eye’ view of how AI can be used and deployed
  3. Learning the power of AI from function-specific case studies
  4. Understanding AI by applying it to solve a business problem using moderated role play
  5. Strategising to transform your business into an AI-driven organisation
  6. Overcoming ethical and cultural challenges in deploying AI

Who should attend?

This intensive 3-day programme is targeted at C-suite executives, general managers and other senior leaders responsible for driving innovation-led business transformation. Functional managers such as Data Scientists, Business Analysts and mid-career executives eager to learn about the potential impact of AI on their business will also benefit from this programme.

Organisational Benefits

  1. Frame organisational strategies to adopt AI for competitive advantage
  2. Create a culture of AI-readiness
  3. Integrate and align the business for AI-driven innovation
  4. Develop an ethical framework that respects user and employee privacy

Individual Benefits

Learn the business implications of AI

  1. Identify and maximise the business potential of AI
  2. Reduce the challenges of AI adoption
  3. Gain insights to transform the organisational culture to fast track AI adoption
  4. Enable faster and more efficient business decisions based on outputs of AI
  5. Understand when and when not to rely on AI
  6. Learn the Business implications of AI 




Dr Rohini Srivathsa

Dr Rohini Srivathsa is the National Technology Officer and Head of Strategy, Microsoft India. She earned her PhD in Computer Engineering from UT Austin and holds an MBA from Wharton. In her role at Microsoft India, Rohini is responsible for leading strategic initiatives to accelerate digital transformation across industries and the government. She has been instrumental in steering programmes that leverage AI and other emerging technologies to drive innovation for inclusive socio-economic growth. Rohini was recently recognised among the top 10 most influential analytics leaders in India in 2019 by Analytics India Magazine.


Anand Nandkumar

Anand Nandkumar is an Associate Professor of Strategy, Research Director - CIE and Associate Dean - RCI Management at the Indian School of Business. Professor Nandkumar graduated with a PhD in Public Policy and Management, with a focus in strategy and entrepreneurship from Carnegie Mellon University in 2008. Prior to his PhD, he worked with a startup in Silicon Valley and prior to that, in New York City with one of the world’s largest financial services firms. Professor Nandkumar teaches Strategic Innovation Management and Strategic Challenges for innovation-based startups at ISB.

Day 1

  1. AI and ML for Business Executives: Demystifying jargon and clarifying myth from reality 
  2. Business Strategy and Transformation in the Age of AI 
  3. Case discussion 
  4. Interactive session: Solving business problems using AI

Day 2

  1. AI in marketing and customer service
  2. AI in Human Resource Management 
  3. AI in manufacturing 
  4. Making decisions with machines 
  5. Interactive session: Solving business problems using AI

Day 3

  1. What is machine learning and what does it do? 
  2. Supervised learning, unsupervised learning and reinforcement learning with practical examples 
  3. Popular algorithms and use cases 
  4. Interactive session: Ethics and Responsibility in the age of AI 
  5. Team presentations on their AI blueprints