Artificial Intelligence for Senior Leaders (Live Online Programme) 
Last date for registration: 14 Oct, 2020
End Date : 24 Oct, 2020
Early Bird Discount Date : 05 Oct, 2020
Artificial Intelligence has become a decisive technology for growth of every organization. Sophistication in AI is expected to be the main differentiator between high performing companies and low performing companies. Use of AI and its components such as statistical learning, machine learning and deep learning are expected to increase the stakeholder value and customer experience and satisfaction. Algorithmic aspects of AI is available readily through many sources, however, many companies still struggle with adapting AI to the organization. For example, companies struggle to find answers for questions such as:
- What makes an AI company?
- What should be the strategy for building an AI initiative within an organization
- How to build an AI team
- What kind of problems can be solved using AI?
- How to be AI-first company?
This short duration program is aimed at the managers who are currently leading and are likely to lead AI initiatives in the organization. The course will cover aspects such as Organizational journey of AI transformation, data governance, data preparation for analytic model building, descriptive, predictive and prescriptive analytics. The objectives of the program are:
- Understand how to create strategy for building AI initiative within the organization. Special focus will be on:
A.Data governance strategy.
B.Technology and Platform Strategy
C.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 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 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 common mistakes done while making AI transformation and how to avoid them
- AI and society / responsible AI
- How AI can be used or what are different use cases in different departments – Sales, Finance, HR, etc?
Introduction to Artificial Intelligence (AI), Machine Learning (ML), Statistical Learning (SL) and Deep Learning (DL):
Intuitive understanding of AI; Relationship between AI, ML, SL and DL; Converting a business problem into an analytics problem, analytics problem solving framework; Use cases of AI across different functional areas and different industries; Business process automation using AI.
Machine Learning: Supervised, Unsupervised and Reinforcement Learning Algorithms.
AI/ML Model Development: Feature Extraction; Feature Engineering; Feature Selection; Model Selection and Model Deployment.
Introduction to Descriptive, Predictive and Prescriptive Analytics:
Objectives of Descriptive Analytics: Storey telling using Data; Predictive Analytics Models: Regression, and Logistic Regression; Prescriptive Analytics: Linear Programming and Multi-Criteria Decision Making.
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; General Data Protection Regulation (GDPR);
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, Fraud Detection.
The program will be driven by use cases from across different domains. The focus will be on strategic issues of AI with limited focus on hands-on experience.
The program would result in the following benefits:
- Understanding of AI and its components.
- Ability to develop an AI initiation strategy for the organization.
- Understand various AI techniques and its applications across different functional areas and sectors.
- Understanding of data governance and setting up AI team within the organizations.
- Learn framework of developing deployable solution using AI
The program is designed for leaders with at least 10 years of experience who are either working in the field of AI or planning to set up AI team
U Dinesh Kumar is a Professor of Decision Sciences and Chairperson of Data Centre and Analytics Lab (DCAL) at IIM Bangalore and holds a Ph.D. in Mathematics from IIT Bombay. Dr Dinesh Kumar introduced Business Analytics elective course in 2008 to the PGP students at IIM Bangalore and started one of the first certificate programmes in Business Analytics in India in 2010.
Dr Dinesh Kumar has over 20 years of teaching and research experience. Prior to joining IIM Bangalore, Dr Dinesh Kumar has worked at several reputed Institutes across the world including Stevens Institute of Technology, USA; University of Exeter, UK; University of Toronto, Canada; Federal Institute of Technology, Zurich, Switzerland; Queensland University of Technology, Australia; Australian National University, Australia and the Indian Institute of Management Calcutta.
Dr Dinesh Kumar has published more than 70 research articles in leading academic journals. Thirty five of his case studies on Business Analytics based on Indian and multinational organizations such as Aavin Milk Dairy, Apollo Hospitals, Bigbasket, Bollywood, Flipkart.com, Hewlett and Packard, ISKCON, Jayalaxmi Agro Tech, Larsen & Toubro, Manipal Hospitals, Mission Hospital, Hindustan Aeronautics Limited, Indian Premier League, Reliance Retail, Shubham Housing Finance Limited, VMWare have been published at the Harvard Business Publishing’s case portal. His case studies are used by more than 220 Institutions across 61 countries across the world. He has authored 3 books, his recent book is titled, “Business Analytics – The Science of Data Driven Decision Making”, published by Wiley in 2017 which was an Amazon Best Seller.
Dr Dinesh Kumar has carried out predictive and prescriptive analytics consulting projects for organizations such as The Boston Consulting Group (India) Private Limited, Cavinkare, Hindustan Aeronautics Limited, Indian Army, Qatar Airways, Mission Hospital, Manipal Hospitals, Scalene Works, Wipro Limited, UNIBIC and the World Health Organization etc.
Dr Dinesh Kumar has conducted training program on Analytics for several companies’ companies such as Accenture, Aditya Birla Group, Ashok Leyland, Bank of America, Blue Ocean Market Intelligence, Cisco, Fidelity, Hindustan Aeronautics Limited, Honey Well, Infosys, ITC Info Tech, Ocwen financial Services and so on. Dr Dinesh Kumar conducts corporate training programme in Analytics and trained more than 1000 professionals in the field of analytics.
He is the founding president of the Analytics Society of India (ASI). Dr Dinesh Kumar was awarded the Best Young Teacher Award by the Association of Indian Management Institutions in 2003. He is listed as one of the top 10 analytics academics in India by the analytics India magazine. He is the governing council member of the Karnataka Government’s Centre of excellence for Data Science and Artificial Intelligence set up in Collaboration with NASSCOM.
IIMB has adopted the ZOOM platform to conduct synchronous online live sessions after careful evaluation of multiple options. It helps create a learning environment that is quite similar to a face to face class, and also provides pedagogical tools that facilitate discussion based learning. Participants will need to have a computer that can download Zoom software and a sound Internet connection to attend the sessions. With extensive experience and feedback from resource persons and participants over the past few months, IIMB has concluded that the learning can be enhanced if sessions are conducted in compact durations of about 1:15 minutes. Accordingly, the sessions for this program will be held from 9.00 am to 1.15 pm in 3 sessions of approximately 1:15 minutes each with breaks.
Timeline of the programme:
19-24 October 2020 (Live Online Programme)
6 February 2021 (on-campus immersion)
Programme Fee
INR 88,750/- (+ Applicable GST) per person for participants from India and its equivalent in US Dollars for participants from other countries.
Early Bird Discount
Nominations received with payments on or before 5-Oct-20 will be entitled to an early bird Discount of 5%.
Early Bird Fee INR 84,313/-(+ Applicable GST)
Please Note
All enrolments are subject to review and approval by the programme director. Joining Instructions will be sent to the selected candidates 10 days prior the start of the programme.
A certificate of participation will be awarded to the participants by IIMB.
- The programme fee should be received by the Executive Education Office before the programme commencement date.
- In case of cancellations, the fee will be refunded only if a request is received at least 15 days prior to the start of the programme.
- If a nomination is not accepted, the fee will be refunded to the person/ organisation concerned.
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