Presented by Demian Bellumio Global Vice President of Augmented Intelligence at NEORIS
In this webinar we will demonstrate how building a graph of technology companies with a very rich data structure and layering a number of machine learning techniques over it can allow us to predict which companies will achieve a liquidity event, in the form of an IPO, over the next 24 months. We will cover topics such as graph data modeling, graph querying and visualization, as well as machine learning approaches for similarity calculation and success prediction.
About the presenter
Demian Bellumio leads the Augmented Intelligence practice within NEORIS, a global consultancy that creates disruptive solutions to enable the world’s leading enterprises in transforming their data into a strategic, actionable and valuable asset. He is responsible for developing and executing the Augmented Intelligence strategic plan in order to position NEORIS as a leader in the Knowledge Graph space across a number of industries, including financial services, media, telecom, healthcare and life sciences. Headquartered in Miami, FL., NEORIS has a network of global delivery centers, design studios, and operations in the U.S., Europe, Latin America, Africa, the Middle East, and Asia.
Demian has over 15 years of experience in creating and growing tech companies and has raised over $250m in funding and created over $1.5b in value. He has degrees in Finance, Marketing and International Business from FIU.
Sign up for this webinar
