Automation, AI / ML Use Cases
Automtion card bg 1
Oneture is helping client to establish and run a RPA Centre of Excellence that is aimed to accelerate automation effort across various Lines of Business
Tt 12
Customer Recommendation
Created a recommendation engine for customers using market basket analysis It helped identify spend behavior of customers which helped in improved cross-sell and up-sell
T 33
Customer Segmentation
Identifying customers in appropriate groups based on their similarity of transactions. It was developed with Clustering algorithm and helped running in focused promotion campaigns.
Tt 20
Sentiment Analysis
Unsupervised intent recognition to identify segments within the data. Very convenient for the law professionals to easily bifurcate judgements which are against the parties or favor to the parties.
Tt 14
Fraud Analysis
Improved fraud detection from existing rule based method to unsupervised deep learning based XGBoost algorithm.
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Suspicious Transactions
Identification of suspicious transactions using rule based method, Spark structured streaming for Aadhaar Enabled Payment System.
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Automate Data Extraction
Automatically identifying and classifying scanned documents using AWS TextRact
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Recommendation Engine
Developing recommendation engine considering: similarity of content, browsing history, user behavior, interests, interactions, feedbacks, time spent etc.
Tt 15
ML Models Migration to Cloud
Migrating existing ML models from on-prem production to AWS Sagemaker and also build new models to leverage Credit card application data within big datalake on AWS.