AI and Data Science in Trading Blog

01/10/2019

Interview: Rob Sloan, Cybersecurity Research Director, WSJ Pro

Rob Sloan researches and publishes a wide range of papers & articles, and hosts seminars, conferences, and briefings aimed at educating executives on cyber risk. Rob also writes a weekly column in the Wall Street Journal's popular, member-only, WSJ Pro Cybersecurity newsletter. Here he answers our questions on the AI talent war the challenges faced by organisations in recruiting and retaining the right talent.

By: RavenPack

How Top Investment Banks Use News Sentiment Data

With the emergence of alternative data, the alpha-landscape is currently getting seriously disrupted. The winners will be the firms that understand how to embrace and take advantage of all of the new opportunities arising from data abundance.

INTERVIEW: Armando Gonzalez, RavenPack's expert in applied big data & AI technologies

Armando is an expert in applied big data and artificial intelligence technologies. He has designed systems that turn unstructured content into structured data, primarily for financial trading applications. Armando is widely regarded as one of the most knowledgeable authorities on automated text and sentiment analysis. Here he answers our questions on the prospects for the alt data market and RavenPack’s latest innovations.

INTERVIEW: Peter Hafez, RavenPack's leading alt data and AI specialist

Since joining RavenPack in 2008, Peter Hafez has been a pioneer in the field of applied news analytics, bringing alternative data insights to the world’s top banks and hedge funds. Here he answers our questions on the prospects for the alt data market and RavenPack’s latest innovations.