Providing personalized experiences is key to engaging users and driving business growth. From e-commerce giants suggesting products you’ll love to streaming services curating your next binge-watch, recommendation engines are at the heart of enhanced user engagement and satisfaction. Recommendation engines, powered by Artificial Intelligence (AI) and leveraging the power of Big Data, are at the forefront of this revolution.
In my last article, we explored how analytics is evolving with the integration of ML and SQL. Here, I want to talk about how Artificial Intelligence (AI) and Big Data / SQL can be combined to build powerful recommendation engines, leveraging your existing data infrastructure to deliver tailored insights.