IHS Markit to Add About 1 Million Analyst Reports to its Data Lake
IHS Markit uses Google’s transformer-based model BERT and a combination of classification and extraction techniques to determine what the documents mean and summarize them.
IHS Markit is adding unstructured data, in the form of research articles and papers, to its proprietary Data Lake.
By the end of Q4, the data service provider aims to upload about one million documents published by internal analysts over the past 10 years. The research reports cover topics related to financial services, the automotive industry, agriculture, chemicals, economics and country risks, energy, life sciences, and more.
Yaacov Mutnikas, chief technology officer and chief data
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