What we do best is develop solutions and services to address complexity and newness of given business problems. Our AI engineers can provide development services that can enable our partners to collect and analyse vast amount of data and to transform them into reliable and successful business strategy. We follow international standards and best practices of problem solving and project management ensuring flawless quality and optimal use of resources
Define problem statement and test the definition against several criteria: clear success measures both in time frame and by the value of the decision maker
Break the problem statement in to components of better analysis and to design hypothesis
Assemble the scenario based solutioning into logical structure to deliver end to end working solution for end users
Start with simple heuristics and rule of thumb to test the problem components for prioritization and complexity assessment. Apply analytics techniques to draw initial conclusion and pressure test the hypothesis
Design output and plan to deliver the output.
Full details on team, processes, solution, infrastructure, risk/assumptions, budget and timelines
Our technology stack includes both specialized platform for data collection, processing and analysis, and a wide range of cross-functional technologies, languages and standards.
SQL Server, Oracle, PostgreSQL, MySQL, Hadoop, NoSQL, Column-oriented DBMS
Power BI, Pentaho, Prognoz Platform, Excel, SQL Server Reporting & Analysis Services
R, SPSS, Gretl, EViews, Statistica, Prognoz Platform, Mathematica, MATLAB, AnyLogic, TensorFlow, Scikit-learn, XGBoost
Objective-C, Android SDK Tools, Universal Window Platform