Artificial Intelligence and Business Strategy
1h 27mAdvanced2022-03-02
Authors
Anil Gupta
Leading expert on strategy, globalization, and entrepreneurship
Haiyan Wang
Managing Partner of the China India Institute
Course details
Do you understand the impact of AI on a business strategy well enough to take a proactive role in transforming your organization? If you could use some help in this area, instructor Anil Gupta has you covered. In this course, he shows you how deploying AI tools can boost your company’s competitive advantage and help you leapfrog over your competition. Anil explains what AI is and how it is deployed in products and services. He goes over the importance of data for developing AI algorithms, as well as machine learning concepts. Anil covers how AI can be deployed to gather market intelligence, improve product recommendations, and offer more personalized digital services. He describes how to use AI to make the supply chain network more efficient, responsive, and resilient, as well as how AI can speed up and increase the effectiveness of traditional HR tasks. Anil also discusses the ethics of strategic AI initiatives.
Skills covered
Business StrategyArtificial Intelligence for BusinessBusiness Analysis and StrategyLeadership and ManagementOne-Off
Concepts
0. Introduction
- 01 - Deploying AI for your competitive advantage
1. Introduction to AI
- 02 - What is Artificial Intelligence
- 03 - A brief history of AI and its likely future
- 04 - How Google deploys AI to create user value
2. Making the Company an AI Machine
- 05 - Building a robust data pipeline
- 06 - Different types of machine learning algorithms
- 07 - Training an AI model
3. Deploying AI to Create ONSTAGE Advantage
- 08 - Using AI for deeper market research
- 09 - Using AI for hyper market segmentation
- 10 - Using AI to drive product innovation
4. Deploying AI to Create BACKSTAGE Advantage
- 11 - Using AI for managing the supply chain network
- 12 - Using AI for managing internal operations
- 13 - Using AI for human resource management
5. The Ethics of AI and Data
- 14 - Decision-Making by machines - Moral dilemmas
- 15 - Guarding against the risks of algorithmic bias
- 16 - Mitigating AI s possible negative impact on jobs
6. From Ideas to Actions
- 17 - From ideas to actions