How A B2C Customer Data Platform CDP Can Deliver A Customer-centric Experience: A Complete Guide
This guide explains the concepts of a B2C Customer data platform (CDP) and predictive analytics, and how businesses, big and small, can benefit from these technologies. How a B2C CDP Customer Data Platform can deliver a customer-centric experience: read a complete guide. Customer personalization at scale is one of the biggest challenges a marketer faces… Continue reading How A B2C Customer Data Platform CDP Can Deliver A Customer-centric Experience: A Complete Guide
Graph Analytics: Reasons Why More Businesses are Adopting It
Graph Analytics: Reasons Why More Businesses are Adopting It Studies show that between 2019 and 2020, a sizeable number of businesses adopted graph-related technologies. Indeed, one such report has predicted that the global graph analytics market size was expected to grow from US$584 million in 2019 to US$2,522 million by 2024. This was at a… Continue reading Graph Analytics: Reasons Why More Businesses are Adopting It
The Rise of Commercial Artificial Intelligence in BI
The Rise of Commercial Artificial Intelligence in BI Even as global businesses continue to embrace big data and data analytics, the challenge many faces is: how to derive the most value from the big data. The latter refers to very large sets of data that cannot be handled with traditional methods. With artificial intelligence (AI)… Continue reading The Rise of Commercial Artificial Intelligence in BI
Even A B2B Business Needs A Customer Data Platform
Even A B2B Business Needs A B2B Customer Data Platform Unlike a B2C company, a B2B company has companies and businesses, not individuals as customers. Not only that, a B2B enterprise has to deal with a lengthy and often intricate buying cycle involving multiple departments. Sales is never a straightforward, one-on-one process here. Hence, if… Continue reading Even A B2B Business Needs A Customer Data Platform
What is A Recommender System? A Primer
ML algorithms are used to run recommender systems, which filter information based on a customer's ratings or preferences. Recommendation engines are helpful in reducing the challenge of information overload in e-commerce. Amazon and Netflix were first to popularize recommender systems. However, you can now find recommendations in almost every corner of the digital world, from Facebook posts, Instagram stories, YouTube videos, to food delivery services and e-commerce sites. Today, more and more companies are able to develop and deploy recommender systems thanks to cost-effective and easily accessible software.
Building A Recommender System – A Primer: Part 2
Building A Recommender System In Machine Learning – A Primer : Part 2 In Part One of this post, you read about what is a recommender system in Machine Learning, the different classes, and the steps involved in building a recommendation engine. In this second and last post, we shall now talk about how to build… Continue reading Building A Recommender System – A Primer: Part 2
