The true potential of digital technology lies in its ability to revolutionize the physical world, fostering productivity, innovation, and meaningful outcomes. In this pursuit, artificial intelligence (AI) plays a vital role in numerous complex digital transformation (DX) applications. Without AI, the digitization of products and processes would generate overwhelming volumes of data that would be impractical for humans to analyze and respond to within a reasonable timeframe. AI empowers us to ext...

In recent years, the use of recommendation systems has become ubiquitous in various fields, and it is changing the way people make decisions. This phenomenon is especially evident in consumer-facing industries, where recommendation engines are becoming increasingly essential for companies to keep up with rising client expectations, handle information overload, and reduce costs.

While people tend to associate AI with robots and science fiction, it is already integrated into our daily lives. Recommender systems, which more than half of online consumers rely on for product recommendations, are essential for online commerce and serve as a prime example of AI in action. AI has been present for 50+ years and has various applications, with recommender systems as a crucial one.

An AI Recommender System suggests products or services based on user data, which includes their preferences, past purchases, demographic information, and the behavior of similar users. It brings a convenient way for e-commerce companies, retail stores and even banks to offer personalized solutions to their customers. The type of AI recommendations offered depends on the data available, the ability to scale, and the transparency of the recommendations.