Hello Guys, today let’s discuss the topic “Data Products at Scale”.
In Today’s world, over 800,000 businesses are using Artificial Intelligence for data products at scale. Hence, it has a number of applications in retailers and digital marketing. It can perform credit card frauds within seconds.
You must have heard about shopify. Shopify is a cloud-based market channel commerce platform for customers.
Ways Shopify retailers are selling online are :-
- web
- mobile
- social media
- market places
- brick-and-mortar locations
- Pop-up shops
Credit Card Fraud Detection
Credit cards are one of the most exciting things for a woman in today’s era. It is accelerating day-by-day due to ever-increasing demands of customers. But sometimes it happens that you have a lot of bills to pay. But you didn’t do this huge amount of shopping…. It’s a problem.. you fell into a trap. You call a credit card company seeking for a solution. But do you think you’ll get your money back? Since you’re seeking a solution from them and they have to investigate, they’ll charge you money.
You have no option rather than paying them. After 6-12 months, you call them but to no avail. Hence, no action is taken by them, you’ll undergo double loss.
Data Products at Scale- Building a data product on Ruby platform
Requirements
- Near real time evaluation
- it cannot block check out
- at scale
- accuracy of prediction
Data Products at Scale- Our biggest asset is data
- Domain knowledge & understanding data are foundation for good initial model
- Continuous monitoring of changes in patterns enables maintaining the predictive value of the models
Spree
It is a scalable and rich-in-functionality solution. Hence, with Spree, you can build large e-commerce apps. So, it is an out of the box gem, which has numerous extensions. It also has third-party integrations to improve the functionality of your online store.
Hence, integration support is also huge.
Solidus
Just like its parent framework, Solidus is open source. Hence, solidus has many similarities with Spree, but is known for the following high-level distinctions:
- Production-ready stable code
- Easier upgrading
- Better integrations with third-party apps, hence data integrity is preserved
