Machine Learning services: bring your product or operations to the next level
Our team of Data Science consultants with help of Artificial Intelligence and Machine Learning will turn your data into insights and competitive advantage
MACHINE LEARNING SOLUTIONS
Machine Learning helps businesses automatically extract knowledge from various data sources. That will help you better understand your customers, personalize customer experience, automate and improve business processes.
In recent years Machine learning applied in different sectors: retail, e-commerce, loyalty, finance (fin-tech), marketing (Ad-tech), healthcare, insurance, gaming and many more. Each industry has its own field of application, from forecast, churn, cltv and recommendation engine to logo detection and text processing. Of course, that depends on business conditions and data availability.
The best advantage of Machine Learning is self-learning capabilities and scalability – what gives SaaS applications the ability to use algorithms for thousands of customers. Due to the fact that ML learning the history of all users, it gives amazing opportunities for Marketplace for ex. to use a recommendation system based on the preferences of each individual person.
Machine learning involves the use of advanced algorithms, such as: random forest, xgboost, support vector machines. For tasks of the image or text processing type, the deep learning algorithms are now very successful, such as: convolution neural networks recurential neural networks. Automatically choosing the most important features ML can help solve the most difficult challenges of your business.
Customer lifetime value prediction
Anomaly / Fraud detection
NLP / Text processing
Social media profiles analytics
Intelligent chat bots
Image and video processing
OUR AI AND MACHINE LEARNING TECHNOLOGY PARTNERSHIPS
SOME OF OUR RECENT AI AND BI PROJECTS
See how we solve business problems with quantitative approach and using Machine Learning algorithms
CUSTOMER LIFETIME VALUE AND CHURN PREDICTION IN LOYALTY & MARKETING
We helped one of the global startup to enrich the platform with self-learning Machine Learning components for automatically drawing analytics conclusions from data and then taking the best business actions.
MACHINE LEARNING IN FINANCIAL SERVICES (FIN-TECH)
Using classification model and self-service BI we helped a financial service company to optimize pricing policy. The model takes into consideration customer behaviour and adjusts pricing depending on customer’s financial profile.
MACHINE LEARNING IMPLEMENTATION PROCESS
1) Converting business problem into a “Machine Learning problem”
We will determine specific approach, solution and technology that fits your organization best. It helps to solve existing problems and improve your business performance using ML algorithms.
2) Collect and integrate data
We collect and integrate data from various sources (i.e. transactional databases, file systems, data from a cloud, flat files) into data warehouses or big data file systems so you are able to easily access and manipulate different types of information from one place.
3) Transform and prepare data
Collected and integrated data is transformed during loading process into database system, then prepared for exploration and machine learning modeling.
4) Machine Learning modeling
At this stage we create and test the algorithms that will be used in the final solution. Developed AI algorithms will organize and discover patterns in data and go beyond knowing what has happened to anticipating what is likely to happen next.
This step is optional. In many cases, companies need a way to display the insights from our models to their customers. In order to do that, we create custom business intelligence dashboards.
At this stage we integrate our salable AI algorithms and dashboards with with your system back-end for use on a large scale.