In this Intel on AI podcast episode: Gauging prospects and predicting the direction of the fashion industry is incredibly difficult. Businesses and investors hypothesizing the success of rising stars in the industry have to make real-time decisions to stay ahead of the curve in such a fast-paced industry. Previously, trying to analyze market data to predict a model's success could take weeks. Frédéric Godart, Co-CEO and Head of Industry at IFDAQ (International Fashion Digital Automated Quantification), joins the Intel on AI podcast to discuss how IFDAQ is redefining the intelligent insights and real-time predictive analytics for the fashion and luxury industry enabling organizations to identify fashion trends, highlight opportunities, and guide investors by measuring the effective market value based on the relative performance in the industry. IFDAQ is an artificial intelligence (AI) system that provides quantitative market values for anyone and everything in the fashion and luxury industry drawing data from numerous sources including; industry publications, social media, corporate financial data, casting value of models appearing in fashion shows and many more. Frédéric describes how this solution can predict the real market value and influence of everything that counts in fashion and enables retailers to make smart decisions on their portfolio, helps brands hire fashion models that will have the best impact on their brand image, or enables fashion models determine where they will have the most success. He also describes how working with the Intel AI Builders program has provided great value to IFDAQ and their customers through significant performance increases.

To learn more, visit: ifdaq.com research.ifdaq.com/cities

Visit Intel AI Builders at: builders.intel.com/ai