We develop customized datasets by collating data from various sources such as open source datasets, patents, journal, academic papers using NLP techniques. We also set up and manage data pipelines originating from diverse data sources that feed AI models while maximizing computational efficiency. Some examples below:
- Mining literature and social media using NLP techniques to build a database for risk management models
- A weekly email alert summarizing the new articles, journals, patents published in relation to existing models’ infrastructure and architecture
Aganitha team has also built unique approaches of applying AI techniques in scenarios where only small datasets are available and in extracting knowledge graph for large scale modeling.