Google Analytics Customer Revenue Prediction
Introduction A common problem regrading the retail markets and stores is predicting the amount of money a certain user would spend in a specific span of time in the future. The main application of…
Transforming Business with Artificial Intelligence
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Revenue Prediction
A critical task in the domain of retail markets where the goal is to predict future revenue based on the historical data.
Hotel Review Analysis
We use text analysis to evaluate the performance of a hotel in a certain period of time based on the review of its customers.
Stock Market Analysis
Using graph analysis we can find top traders in a stock market and provide other punters with white box insights.
Credit Risk Scoring
Using AI in the financial sector we can find the customers applying for loans with high probability of default hence reducing the credit risk.
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Consulting Services
We can provide businesses with consulting services they need to translate their problems to a language that is solvable with AI and machine learning.
Predictive Modelling
With our team of top 1% Kagglers dabbling in the art of data science we can build world class predictive machine learning models within days using the domain knowledge and data provided by our customers.
Design, Build and Deployment of AI Systems
We can design, build systems such as micro services with machine learning models on top of them with the emphasis on making the integration process with these systems as seamless as possible.
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Our experience
Revenue Prediction
A critical task in the domain of retail markets where the goal is to predict future revenue based on the historical data.
Hotel Review Analysis
We use text analysis to evaluate the performance of a hotel in a certain period of time based on the review of its customers.
Stock Market Analysis
Using graph analysis we can find top traders in a stock market and provide other punters with white box insights.
Credit Risk Scoring
Using AI in the financial sector we can find the customers applying for loans with high probability of default hence reducing the credit risk.