AI Case Study

Dataminr's alerts its customers in real-time about events that could potentially impact the financial markets by using text mining to collect data from social media

Dataminr's AI platform analyses hundreds of millions of tweets everyday and classifies them against 30 rules and uses a proprietary classification system to build connections among thousands of companies, tickers, brands, and subsidiaries. They are able to notify customers several minutes before the news breaks out.

Industry

Professional Services

Consultancy And Business Services

Project Overview

Using proprietary AI platform Dataminr has managed to mine social media and alert its clients to real-time breaking information based on their interests and impact. Dataminr's clients are the first to know about high-impact events and critical breaking information, enabling them to act faster and stay one step ahead.
"Dataminr uses a proprietary classification system to build connections among thousands of companies, tickers, brands, and subsidiaries. Together with a unique alert urgency ranking system, this creates a highly granular and tailored experience, so you receive only financial news that is relevant to your interests."

Reported Results

Several instances where Dataminr customers were alerted beforehand such as Mallinckrodt shares dropping by 25% as a result of a tweet from CitronResearch. Its clients include 50 financial firms and provides CNN with breaking news alerts.

Technology

Dataminr scores every tweet using about 30 indicators of significance. This appears to be traditional rule-based AI, however, although the NLP elements of it are unclear.

Function

Digital Data

Digital Data Management

Background

According to Dataminr, they are the world’s first real-time information discovery company.

Benefits

Data

Social media mining
Analyses more than 500m tweets daily