H&M Group is leveraging AI to achieve a climate positive value chain by 2040. The clothing retailer uses AI-driven demand prediction to optimise the supply chain, said Linda Leopold, head of AI at H&M. Two hundred plus data scientists are working at H&M to understand purchasing patterns and trends across its stores. The company uses big data to analyse customer needs at a local level. The team has built algorithms to analyse store receipts, returns in the store, and loyalty-card data to study customer demands.

How does YouTube, Amazon, Netflix, and many other apps keep recommending videos, products, or shows you may be interested in? Google follows your search topic everywhere a few minutes after you searched. Everyone's feed is full of personalized topics, news, and accurate recommendations based on previous activities. They use the recommender system to make recommendations about products, information, services, or audio-visual content. The majority of these systems use a hybrid approach to enhance the effectiveness and accuracy of recommendation. Let's explore what hybrid recommendation system is, why it is important in the data-driven world and everything around it.

Between fiddling our fingers on the tiny buttons of our TV remote and scrolling through endless menus to find something worth watching and talking to a smart assistant via your remote or your smart TV to find a movie based on your interests, which one of them sounds more absurd? The concept of machine-human intelligence coined during the mid-twentieth century and increasingly popular in the sci-fi movies during the early days, has long become a reality and is unfolding more and more potential areas of its application with each passing day. Instead of having incertitude regarding the notion of pursuing AI, most of the companies are now asking themselves the question of how should they pursue AI as they try to unlock the hidden potentials it can provide, and the creative and informatics industries are no exception to the trend. The highly packed and ambitious media industry is always on the hunt for new ways to compete with the firms adopting newer technologies to stay in pace with rising technological transformation. Leading this rapid transformation are the horses of efficient workflow support, content distribution management and revenue growth support.