Hyderabad, Mar 26 (TNT): The GITAM School of Business will organise a five-day online hands-on workshop under its Management Development Programme (MDP) on “Artificial Intelligence & Machine Learning for Business Decision-Making” from May 25 to 29, 2026.
The programme aim to familiarise participants with the growing role of Artificial Intelligence (AI) and Machine Learning (ML) in modern business decision-making, the GITAM University said in a release here on Thursday.
The programme will focus on how AI-driven analytics is being used in areas such as customer acquisition, demand forecasting, risk management and personalised marketing, equipping participants with practical insights into data-driven decision-making.
Designed primarily for faculty members from Management, Commerce, Economics, Computer Applications and Engineering disciplines, the workshop will emphasise business-oriented use cases, hands-on demonstrations and interpretation of model outputs rather than treating ML as a purely technical subject.
The organisers said practical datasets, visualisation-based explanations and user-friendly analytics tools will be used to make AI and ML concepts accessible.
Dr. M. Kamakshaiah , who has extensive experience in Business Analytics, Data Science and AI/ML applications, will serve as the resource person for the programme .
He has conducted several training programmes in analytics and decision sciences.
The workshop will cover topics including supervised and unsupervised learning, recommender systems and ensemble models, linking them to real-world managerial applications such as customer churn prediction, market segmentation, product recommendation and fraud detection.
Upon completion, participants are expected to gain conceptual clarity and hands-on exposure to AI/ML techniques, enabling them to apply these methods to business decision problems and develop AI-enabled case studies and student projects.
For registration and further details, interested participants may contact Dr. Joseph Paul, Chairperson, Executive Education, Center for Business Engagement, at jpaul@gitam.edu.
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