Artificial Intelligence for Business Managers

Start Date: 12 Sep 2026 | Early Bird Deadline: 15 Aug 2026 | Register By: 25 Aug 2026

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Program Overview

Artificial intelligence (AI) is an interdisciplinary field of study that tries to mimic or recreate human intelligence in machines. Previously, the term “artificial intelligence” was used to describe machines that mimic and display “human” cognitive skills that are associated with the human mind, such as “cognition”, “thinking”, “learning” and “problem-solving”. However, for lack of flexibility, this view has been modified by major AI researchers. Thus, AI is now described in terms of rationality and acting rationally. This flexibility does not limit how intelligence can be articulated. One such definition by Stuart Russell and Peter Norvig, defines AI as the field that studies intelligent agents, where an “intelligent agent” refers to any system that perceives its environment and takes actions that maximise its chance of achieving its goals.

AI applications, having emerged out of the laboratory, have started diffusing not just across businesses but also in normal day-to-day life. These include advanced web search engines (e.g., Google), recommendation systems (YouTube, Amazon and Netflix), understanding human speech (such as Siri and Alexa), self-driving cars (e.g., Tesla), automated decision-making and competing at the highest level in strategic game systems (such as chess and Go). Business surveys regularly rank AI as one of the most interesting and fastest-growing fields, and it is already generating yearly revenues of over a trillion dollars. One widely respected AI expert Kai-Fu Lee predicts that AI’s impact will be “more than anything in the history of mankind.” 

Considering the transformative impact that AI is poised to have across all sectors, it is increasingly essential for managers to understand AI from a business perspective. Such knowledge enables them not only to apply AI solutions within their functional domains but also to identify new opportunities for solving business challenges using AI-driven tools and techniques.

The course “Artificial Intelligence for Business” has been thoughtfully designed with a balanced blend of concepts and hands-on practice. Participants will gain a solid understanding of contemporary AI techniques and the confidence to apply these tools effectively in real-world business contexts.

Faculty

Dr. Rajesh Natarajan V., Associate Professor – Data Science & Information Systems at IFMR GSB, Krea University, is a seasoned Data Science and Business Analytics professional with 20+ years of experience across Data Science, Data Mining, AI, and Machine Learning.

He brings rich and diverse industry expertise, having worked in roles spanning analytics and data science project delivery, product and platform development, data science consulting and research, establishing Business Analytics Centres of Excellence, and driving pre-sales and business development initiatives.

Dr. Natarajan has designed and deployed analytical solutions for global clients across a wide spectrum of industries, including Banking and Financial Services, Insurance, Retail, Healthcare, Railroads, Hospitality, and Manufacturing. He has held key positions in leading IT and technology organizations such as Cognizant Technology Solutions, Hexaware, Wipro, GE Transportation, and Tech Mahindra.

In his prior role with the Tamil Nadu e-Governance Agency, IT Department, Government of Tamil Nadu, he contributed to the design and implementation of advanced analytical solutions and data-driven policies, strengthening the state’s digital and governance capabilities.

Dr. Rajesh Natarajan combines strong academic credentials with deep industry experience, offering participants a unique blend of conceptual rigor and practical, real-world insight. In academia, Rajesh worked as an Assistant Professor with the IT & Systems Group of the Indian Institute of Management, Lucknow (IIML) and as a Visiting Associate Professor, Industrial Engineering Group, Mechanical Engineering Area of Universidad Carlos III de Madrid (UC3M), in Madrid, Spain. Rajesh has been an active researcher and has contributed 20+ articles to leading international technical conferences (IEEE ICDM, IEEE IRI, etc.)  and refereed journals.

Rajesh holds a Bachelor’s degree in Electronics Engineering (B.E. (Honours)) from the University of Bombay (Mumbai) and has completed the Fellow Program in Management (PhD in Management) from the Indian Institute of Management Bangalore (IIMB).