Data Science Consulting and AI Consulting 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. We provide companies with reliable Data Science consulting and AI development.
DATA SCIENCE CONSULTING AND AI DEVELOPMENT
Data Science and Artificial Intelligence (AI) 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 Data Science applications are 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 AI and 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 AI 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.
Data Science involves the use of advanced AI algorithms, such as: Random Forest, XGboost, Support Vector Machines (SVM). 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 Data Science solutions 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
- Neural Machine translation
Image and video processing
- Face recognition
- Visual search
OUR AI AND DATA SCIENCE TECHNOLOGY PARTNERSHIPS
We provide companies with reliable Data Science consulting and AI development services using open source and commercially trusted technologies
SOME OF OUR RECENT AI AND DATA SCIENCE PROJECTS
See how we solve business problems with quantitative approach using Artificial Intelligence (AI) algorithms and Data Science consulting
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. See how we deployed full-stack Data Science solution for insight extraction and data management.
MACHINE LEARNING IN FINANCIAL SERVICES (FIN-TECH)
Using classification Artificial Intelligence (AI) 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.
DATA SCIENCE CONSULTING
ARTIFICIAL INTELLIGENCE (AI) DEVELOPMENT PROCESS
1) Converting business problem into a “Machine Learning problem” with Data Science consulting
We will determine specific approach, solution and technology that fits your organization best. At this stage during mutual workshop we will define what kind of business problem you want to solve and will define what kind of Data Science solution and AI algorithm to use to solve problem and improve your business performance.
2) Collect and integrate data
If there is a need 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 Artificial Intelligence (AI) 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. We test thousands of models and chose the best on which is giving the best accuracy results.
This step is optional. In many cases, companies need a way to display the insights from our AI models to their customers. In order to do that, we create custom business intelligence dashboards where insight and historical data combined with predictions are presented. Those analytical dashboards could be shared internally or externally if needed.
6) Integration and deployment
At this stage we integrate our salable AI algorithms and dashboards with with your system back-end for use on a large scale. We build full application where you can see results in user-friendly view or have REST API backend integration.