+1 307 620 7051 info@sjeantech.com

Welcome To SJean Tech

 

 

We bring the power of data science and artificial intelligence to every business

Data Science & AI

Discover the true potential of your data with our Data Science experts

Data Strategy Consulting

Align big data technologies with your business objectives

Big Data Infrastructure

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Welcome to the data-driven world

Regardless of the industry, Data Science and Artificial Intelligence promise to reshape the way we do our jobs every day. At Partigard we seek to bring the power of data science & AI to our customers. Whether you want to explore the possible use cases for big data analytics or have an AI solution in mind and want to start quickly, our team of world-class data scientists and data engineers can help you achieve big data success and get the most out of your investment.

BigData Processing

Big Data processing techniques analyze big data sets at terabyte or even petabyte scale. Offline batch data processing is typically full power and full scale, tackling arbitrary BI use cases. While real-time stream processing is performed on the most current slice of data for data profiling to pick outliers, fraud transaction detections, security monitoring, etc.

Artificial intelligence is often used to process this type of data. … These algorithmic methods are used on huge amount of Data (Big Data) to produce desired results and to find trends, patterns and predictions. Complex analytical tasks faster than human imagination are done on Big Data with the help of ML and AI.

Churn Prediction

Predict your customers’ behavior to earn their trust and prevent them from churning.

Recommendation System

Make sure your customers feel valued and always find everything they need and even more.

Language Processing

Embrace the power of Natural Language Processing to automate text analytics in any of your projects.

Analytics Adoption

Transform an increasing amount of big data into business value without any risks.

Real-time Stream

Make the best decisions fast without getting overwhelmed by the volume of real-time data coming in.