Buzzmonitor is the leading software tool for Social Media in Latin America and Europe. On average, over 4000 posts or comments are added to our database every second, and over 8000 interactions are sent each day by agents that use our platform. In this talk we will discuss how Buzzmonitor uses social media data along with machine learning and other recommendation techniques to improve customer experience for the companies that we serve, such as Coca-Cola, Rede Globo, Casas Bahia, Renault, UFC and hundreds of others.

Short Bio

Fábio Leal is Head of Engineering at Buzzmonitor and holds a MSc. degree in Computer Science from Universidade Federal do Rio Grande do Norte (UFRN). He has over 10 years of experience building social-media tools that are used on a daily basis by global brands, such as Coca-Cola, Walmart, Unilever, Google, Rede Globo, Casas Bahia and hundreds of others. Currently interested in Machine Learning and Natural Language Processing (NLP).