Using Computer Vision with Recommender Systems to Transform Retail
There has been an explosion in the number of e-commerce stores, available products, and well-crafted content. Recommender Systems have therefore come to the forefront in attracting customers, matching them to products they will love, and to content they will find engaging. But what happens when you don’t have many data points on your customers or products – or worse – customers are browsing your online store anonymously. How do you still deliver an engaging experience that drives your bottom line? Join this talk to discover how Computer Vision, Natural Language Processing, and other AI technology is being used with Recommender Systems to transform retail.
Dino Bernicchi has 12 years’ experience driving AI strategy and developing productionized data solutions for large South African corporates such as TFG, Woolworths, Standard Bank, and Chevron SA. Most recently, as Head of Machine Learning at Homechoice - a home-shopping and financial services group - a successful AI strategy has driven R140m in additional operating profit at 15x return on investment. Dino is a regular speaker at AI, and data conferences, and lectures the Data Science Leadership for Executives course at University of Cape Town's Graduate School of Business. He also consulted on the development of course content for Andrew Ng's DeepLearning.AI.