Overview
Explore key ML, DL, RL, and Graph Analytics use cases in Retail, with a demo of Microsoft Azure AI platform's MLOps capabilities in a Retail environment.
Syllabus
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- Introduction to AI in Retail
-- Overview of AI technologies and their impact on the retail industry
-- Key challenges and opportunities in AI adoption in retail
- Machine Learning (ML) Use Cases in Retail
-- Customer segmentation and personalization
-- Demand forecasting and inventory management
-- Price optimization and dynamic pricing strategies
- Deep Learning (DL) Applications in Retail
-- Image recognition for product identification and visual search
-- Natural language processing for sentiment analysis and customer service
-- Recommender systems for enhancing the shopping experience
- Reinforcement Learning (RL) in Retail
-- Dynamic pricing and inventory control
-- Personalized promotions and offers
-- Automated supply chain management
- Graph Analytics in Retail
-- Understanding customer behavior through social network analysis
-- Fraud detection and prevention using graph-based methods
-- Enhancing product recommendation systems with graph theory
- Exploring Microsoft Azure AI Platform
-- Overview of Azure AI services and tools relevant to retail
-- Setting up a retail MLOps pipeline on Microsoft Azure
-- Case study: Implementing a predictive analytics solution in retail using Azure
- Practical Demonstrations
-- End-to-end execution of a retail AI project using Azure
-- Live demonstration of deploying ML models with Azure MLOps
- Ethical and Responsible AI in Retail
-- Addressing bias and fairness in AI models
-- Ensuring data privacy and security for customers
-- Compliance with regulations and best practices
- Future Trends and Innovations in Retail AI
-- The role of AI in shaping the future retail landscape
-- Emerging technologies and their potential impact
-- Strategies for staying competitive with AI advancements
- Course Review and Wrap-up
-- Summary of key concepts and learnings
-- Interactive Q&A session with course participants
-- Resources for further learning and exploration in AI applications for retail
Taught by
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On-Demand
