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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AI Powered in Sprint Automation Problem With the Agile methodology fast-paced sprint cycles, testing is to be done parallel to the development. Only prototype images are available for automation. No active application is available for scripting. Solution Suggested AI based automation, With existing UFT license, and the built-in AI capability in the 15.02 UFT version
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Automated Data validation and comparison Problem To compare large volume of data from multiple data sources viz..RDBMS, Cloud data source, flat files etc. Check data consistency, accuracy and integrity Perform apple to apple data comparison between Source and Target sheets which large volume of records. This comparison included data precision and date format also to
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POC for Automating Forecasts for Revenue, EPS and P&L data Problem The client team has a manual process to perform Forecasts on Revenue, EPS and P&L data Aim of the POC was to build on the manual top-side Revenue/EPS model and Lighthouse predictive analytics experiences to develop largely automated “Top-down” revenue, EPS and P&L forecasts
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Business Objects reports package that integrates in LH .NET portal in less than three weeks. Problem The client team was hindered by an existing .NET reporting system as the reports were static and limited. Any additional reports required technical support and involved significant lead times. This was a challenge for the Volume Exchange Pricing team.
Digital transformation isn’t a new imperative for business leaders, but COVID-19 has made it more urgent, and pharma is no exception, with pharma companies looking to enhance their agility, speed, and data-driven decision making. Pharma companies can reshape their digital transformation into gear by taking a bionic approach, blending human and technical capabilities, and keep
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