Learn · Foundation of Digital Business
Lecture 1 of 40Week 1
Lecture-01 : What is Digital Transformation
Prof. Surojit Mookherjee · IIT Kharagpur
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- Foundation of Digital Business, IIT Kharagpur (at NPTEL)
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
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All the lectures
- Lecture-01 : What is Digital Transformation
- Lecture-02 : Drivers for Digital Transformation
- Lecture-04 : Overview of Emerging Digital Technologies - Part 2
- Lecture-03 : Overview of Emerging Digital Technologies-Part 1
- Lecture-05 : Overview of Emerging Digital Technologies - Part 3
- Lecture - 06 : What is a Business Model and how to build a Business Model
- Lecture - 07 : Types of Business to Consumer B2C Digital Business Models
- Lecture - 08 : Digital Business Models of the Future
- Lecture - 09 : Overview of Digital Transformation
- Lecture - 10 : Building Digital Mastery
- Lecture 11 : Building Digital Capabilities
- Lecture 12 : Disruptive Business Models
- Lecture 13 : Digital Transformation Play Book
- Lecture 14 : Strategic Planning Tools for Digital Transformation
- Lecture 15 : Digital Transformation Road Map- Microsoft Story
- Lecture 16 : Platform Strategies – Sharing Economy
- Lecture 17 : Platform as a Business Model
- Lecture 18 : Developing a Platform Business Model Map
- Lecture 19 : Artificial Intelligence – Introduction
- Lecture 20 : Linear Regression and Deep Learning Model
- Lecture- 21 : Putting AI in practice
- Lecture- 22 : Prepare for AI
- Lecture- 23 : Get AI ideas Flowing
- Lecture- 24 : Becoming AI ready
- Lecture- 25 : Find AI opportunities – Part 1
- Lecture 26 : Find AI opportunities – Part 2
- Lecture 27 : Introduction to Gen AI and LLMs
- Lecture 28 : Gen AI Impacting various business Operations
- Lecture 29 : Gen AI -Rethinking the Enterprise Agenda
- Lecture 30 : Scaling Gen AI in Governments
- Lecture 31 : Data to Regression Model - Lifecycle
- Lecture 32 : NLP and Computer Vision Applications
- Lecture 33 : Prompt Engineering
- Lecture 34 : Orchestrating Agentic AI for Intelligent Business Operations
- Lecture 35 : Common AI Ethical Issues
- Lecture 36 : Managing Ethics and Bias
- Lecture 37 : Future Ready Organization - Pathways to Transformation
- Lecture 38 : Gen AI - New Frontier for the Future of Work
- Lecture 39 : Workforce of the Future
- Lecture 40 : Sustainable Digital Technologies