Building a Modern Recommender System

Recommender Systems/Recommendation Engines are one of the most powerful AI-driven systems online retailers use to improve their sales. The goal of a recommendation system is to predict users interests and relevant products. This webinar provides insights on building a state of art recommender system for your organization. We will walk you through potential pitfalls and best practices you need to adopt while building the system. Our experts have implemented multiple projects. We will also talk about our client experiences and emerging trends in recommender systems.

Key Takeaways

In this On-demand webinar, we will address the following:

  • Understand how AI is transforming the recommendation space.
  • Business Roadmap for building a recommender engine.
  • Key components of the engine
  • Go To Market strategy adopted by organizations.
  • COTS vs custom implementation



Prasanna K Ammiraju

Associate Director – Data Science