Core Data Science and Machine Learning
We have a robust understanding of core data science and machine learning disciplines. Forward-thinking businesses are increasingly interested in how core data science and machine learning can help propel their success in the modern age.
Tabular data is the most frequently used type of data in businesses today and with good reason. It's easy to collate and organize data into structured rows and columns, and people intuitively know how to read this data. Tabular data has become a fundamental unit of organization for businesses. However, with so much data spanning many hundreds or even thousands of tables, extracting meaningful insights becomes a challenge. This is where machine learning and data science shines.
Put simply, a typical machine learning or core-data-science data set is a collection of observations. A time series adds a new dimension to the data, an explicit order of dependence between the data observations.
This additional information, both in terms of data constraints and structure, can be complex. Sometimes data sets can involve many different types of time series that need to be accounted for, adding to that complexity. However, for companies interested in forecasting and making predictions, factoring in time-series data is paramount for making accurate predictions.
If your company wants to obtain more actionable insights from your data, whether it's basic tabular or time-series data, then don't worry. We have the skills and experience necessary to bring your data to life.
What Can You Do With It?
With our expertise in core data science and machine learning, we can help businesses with goals like:
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Customer Lifetime Value prediction
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Product recommendations
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Eliminating manual data entry
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Financial analysis and forecasting
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Predictive maintenance
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Detecting spam
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Detecting fraud
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Analyzing customer churn rate
And much more!
- Core Machine Learning
- Finance
- Industry
- Technology
How Artificial Intelligence can help with credit Scoring | Credit Scoring AI
The quality of the underwriting process is critical for the successful business of lending. Complete automation of the process with a machine learning model that takes a decision significantly improved the loan portfolio quality and increased the speed of decision-making. We developed a model to predict events of borrower default. The model demonstrated superior to human performance and improved the health of the loan portfolio. It also enabled a loan borrower’s positive experience due to quick decisions on their loan application.
- Core Machine Learning
- Industry
- Insurance
- Technology
How Artificial Intelligence can help with Risk Management
For a niche insurance company operating in a medical/health domain, we developed a prediction machine learning-based model to estimate the risk of an economical loss. The machine learning model is based on neural networks and built by consuming historical medical data over five consecutive years. The developed model significantly outperformed statistical approaches. With this model, the customer was able to optimize its pricing policies which resulted in significant savings.
- Core Machine Learning
- Industry
- Internet
- Technology
How Artificial Intelligence can help with Skill Analytics | AI and Automated Interview Process
We developed automated candidate scoring and candidate-to-company matching systems that allowed our customer (an online recruiting company) to automate the process of assessing technical skills thoroughly. Due to the success of the solution, scoring experts were able to save 800 man-hours per month. Additionally, they enjoyed advanced functionality to their platform.
- Core Machine Learning
- Finance
- Industry
- Technology
How Artificial Intelligence can help Social Media Analytics | AI in Social Media Data Analysis
For a banking organization, we developed an interactive tool that performs social media data analysis to facilitate marketing activities by understanding audience interests, social group affiliation, demographics, etc. The solution enabled the bank to provide discounts and offers to increase loyalty and decrease churn.
- Core Machine Learning
- Industry
- Real Estate
- Technology
How Artificial Intelligence can help Real Estate Property Price Estimation | AI in Real Estate Market Movement Predictions
We developed a tool based on a machine learning model to automate real estate object estimation and find attractive offers on the market. The tool can also monitor the real estate market to identify ongoing trends. The component allowed the customer to obtain real estate market insights that are hidden from other stakeholders. Due to the tool’s success, the customer achieved a distinct competitive advantage and has already undertaken approximately 20 million euros worth of real estate in-vestments based on the insights obtained through the solution.
- Core Machine Learning
- CV
- Government
- Industry
- Technology
How Artificial Intelligence can help with Traffic Analysis | AI in Road Traffic Safety Management System
We developed a road traffic analysis system for a system integrator executing a governmental project. The developed system can process video streams from traffic cameras and perform analysis of road scenes: detect objects and estimate their properties (trajectory, speed, etc.), identify traffic jams and violations, recognize car models and their license plates, and more. The system provides a safer environment for the city and the ability to monitor roads without human intervention.
- Core Machine Learning
- Media
- Technology
How Artificial Intelligence can support Content Recommendation | AI in Recommendation Content
To help a media company increase the lifetime value of their customers, we developed analytics to provide item recommendations from a diverse set of customer sources. This promoted improved customer engagement and retention as well as boosting loyalty.
- Core Machine Learning
- Industry
- Internet
- Technology
How Artificial Intelligence can help with Customer Churn | AI in Consumer Churn
Understanding the reasons and preventing customer churn is a critical component for sustainability of customer-oriented business. For one of the online gaming platforms AI Superior created a machine learning model that learns player behaviour over the course of the game and predicts the probability of churn for a particular time horizon. This solution helped a customer to predict the player’s churn event and employ the most relevant retention strategy. As the results of this project our customer was able to decrease churn to 11,3%.
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Whether you have a question to ask, data to analyze, or an AI solution to build, please get in touch with us. We are always ready to answer your questions, support your data science-related activities and provide our AI services