Recommendation Engine Based on Datalake.pptx

Recommendation Engine Based on Datalake.pptx

1. Vijay S Jha Recommendation Engine Based on Data Lake

2. Data Lake vs Data Warehouse Predictive Analysis in e-commerce What does it mean? How Recommendation Engine Helps? How it works? Role of AI and ML Points to Ponder Internal Technical Session

3. Internal Technical Session Data Lake vs Data Warehouse Data Lake Data Warehouse Un Structured or semi structured Structured Low cost High Cost High agility and accessibility Low agility and accessibility Low security need High security need

4. Internal Technical Session Data Pipeline for Data Lake –Azure Cloud Source: Medium

5. Internal Technical Session Data Pipeline for Data Warehouse –AWS Cloud Source: AWS

6. Internal Technical Session Predictive Analysis in e-commerce These days, recommendation systems empower social networks, healthcare, finance, and e-commerce and many more.

7. Internal Technical Session What does it mean? E-commerce entrepreneurs, retailers can now send customers personalized offers based on their behavior. In other words, when you purchase your morning coffee, you’ll be automatically offered a fresh muffin. When you buy steaks for grilling, you will get a reminder offering mustard, ketchup, or whatever else you’ll need for a barbecue.

8. Internal Technical Session How Recommendation Engine Helps? Increased customer loyalty by sending offers based on specific customer needs. Increased revenue. An understanding of what customers really need. A demand for new products by adding them to suggestions

9. Internal Technical Session How it works? Source: Medium

10. Internal Technical Session Role of AI and ML AI and ML can be used to put association rules more effectively and UpToDate

11. Internal Technical Session Thank You! Questions?