Churn Analysis Modeling For Early Detection of Client Attrition And Pro-Active Marketing Efforts
Churn Analysis Modeling For Early Detection of Client Attrition And Pro-Active Marketing Efforts The Challenge A large mobile telephony provider in Ireland had a problem. The cost of acquiring a customer was higher than the profit they made on a customer if the customer stayed with the company for less than 18 months. The company […]
Content Transformation using Deep Learning
Content Transformation using Deep Learning The Challenge Making tutorial videos are difficult and time consuming. Moreover as the speaker speaks only in one language it is hard to reach a larger audience due to lack of multilanguage version. Tatras was tasked by a leading EdTech company to create a solution that will transform the tutorial […]
Video Analysis for Logo Analysis using Deep Learning based Vision Models
Video Analysis for Logo Analysis using Deep Learning based Vision Models The Challenge Our client, a startup in the space of sports analytics, wanted to build a tool to provide quantitative feedback to marketers on the exposure they receive in return for their marketing spend at sporting events and its associated Video coverage. They also […]
Deep Learning to count manufacturing throughout using video analysis
Deep Learning to count manufacturing throughout using video analysis The Challenge Our client, a large towel manufacturing company needs to optimise throughput from their stitching tables. They had installed cameras to but needed a solution to use the video data to monitor employee breaks and automatically count the through put of each stitching table. Hypothesis […]
Identifying metal coupon types with Visual Classification
Identifying metal coupon types with Visual Classification The Challenge A leading specialist in water treatment needs to build a mobile application to capture images of metal coupons planted in RO systems and detect their composition. Further identification of corrosion types per composition will be executed. Tatras has been given the responsibility to build a ML […]
A vision-based AI system for detecting corrosion in metal alloys
A vision-based AI system for detecting corrosion in metal alloys The Challenge A leading specialist in water treatment needed a method to identify tank maintenance at customer sites to increase proactive maintenance of their infrastructure. The current process was time consuming and often led to costly errors. The solution was a mobile application to capture […]
Candidate Ranking using a Job Description using Neural Networks
Candidate Ranking using a Job Description using Neural Networks The Challenge It is challenging to source candidates for a given job profile especially when it comes to leadership roles for an organization. One has to align the candidate personal and leadership skills to see whether he/she is a right fit for the organization. We use […]
Identify potential Money Laundering from transaction history using Graph Databases and LLMs
Identify potential Money Laundering from transaction history using Graph Databases and LLMs The Challenge A financial institution aims to build a system to detect money laundering patterns and unusual transactions. The challenge lies in the complexity of the problem, which goes beyond a straightforward ML-based approach. Analyzing factors such as past transactions and transaction recipients […]
Fraud Investigation using LLMs and Graph Databases
Fraud Investigation using LLMs and Graph Databases The Challenge A company aims to develop a question answering system for fraud investigators to detect factors leading to fraudulent transactions from fraud data. The challenge lies in transactions possibly sharing relationships among them. To address this, Tatras developed a solution using network graphs and GenAI, significantly enhancing […]
Autograding Speech assessments in Language Learning using Deep Learning and LLMs
Autograding Speech Assessments using Deep Learning and LLMs The Challenge A leading publisher of language content needed a solution for auto-grading speech assessments against a given topic based on several factors like pronunciation accuracy, tone of voice, relevancy to the given topic etc. The existing cloud solution does not provide all of these and not […]