Use Case: Investment Oppurtuniites Discovery with AI
Information sourcing and research is a common problem for many companies out there.
Obtaining useful information about market opportunities from huge amounts of data require vast resources, both in terms of time and funds. The good news is there is the AI-based technology that is able to perform some parts automatically, and therefore improve the efficiency of the whole process.
A system using AI algorithms – Document Classification, Named Entity Recognition, to name a few – can spot certain changes on the market without human intervention.
Detecting Company Management Structure Changes
Let’s focus on a particular, real-life example.
An investor needed information about changes in the management structure of companies in NYSE. Before leveraging the AI solution, he employed a dedicated team of research analysts traversing thousands of web articles, tweets and social media posts looking for recent changes in the structure of the companies.
1. Collect the data from the online and local sources
The first step we need to do is to aggregate data from the valuable sources. So far, our client’s analysts read online business newspapers and monitored selected Twitter accounts looking for structural change information.
Our system has entirely automated that work by scraping newspapers and tweets, producing a steady feed of information ready to use by the analysts, putting the information in one place.’
2. Filter out the irrelevant materials
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