Time Optimization for Literature and other text Data using NLP Techniques for a HealthCare Company Problem Our Client was facing challenges with Literature reviews as it is a manual, time consuming and tedious process. They were unable to develop a solution as the challenges they faced were: Key datasets were available in silos, and it […]
GMAIST Automation ML SLDC Problem The Client’s GMAIST Team (Global Medical Affairs International) were using the Global Content Management and Approval (GCMA) system to manually manage the review and approval of material based on the various quality parameters. This consisted of 600-3800 transactions annually which was time consuming. Solution An ML model was created to
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Descriptive Analytics for Text Data Problem An earnings call is a conference call between the management of a public company, analysts, investors, and the media to discuss the company’s financial results during a given reporting period, such as a quarter or a fiscal year. The objective here is to analyze the quarterly earnings conference call
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Process Enablement, Time Optimization for Literature using NLP Techniques for a HealthCare Company Problem Our Client was facing challenges with Literature reviews as it is a manual, time consuming and tedious process. They were unable to develop a solution as the challenges they faced were: Key datasets were available in silos, and it was very
Multi-Level Text Classification for Medical Insights Documents Problem Our Client was facing challenges with classification of Medical Insights documents. Earlier classification was done manually, and it takes around 12-man hours a day. They tried developing a model and they were facing below challenges: The datasets is highly imbalance, and they need to predict multi-level prediction
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