More and more information is being processed in today’s world. It is estimated that 90% of the digital data currently available has been collated over the past two years. According to forecasts by International Data Corporation analysts, by 2025 the global database will increase to 163 zettabytes – tenfold the volume of data generated in 2016. What we can witness currently is a phenomenon of an exponential growth in data volume, that is to say the data surge is no longer linear as we have been accustomed to in everyday life. In many companies, data storage has ceased to be treated as a cost item, but has become an investment in extremely valuable resources. According to research conducted by Forrester, by 2020 companies utilising data analytics in business will earn 1.2 trillion dollars in gains. The renowned analytical company Gartner emphasizes that Artificial Intelligence has become the foundation of IT systems and will gradually take over many decision processes.
At ABR SESTA, we combine passion for modern technologies with extensive experience in large data sets analysis and the development of analytical applications. Our interdisciplinary team specializing in the use of Artificial Intelligence (AI) and Machine Learning, in particular classification, prediction and data clustering models, cooperates with the academics at renowned universities. The CEO of ABR SESTA – Sebastian Starzyński – is a futurist advocating the application of gamification, Big Data and AI in the business world. Owing to these, we have gained a proper vision supported by the technical knowledge necessary for implementation of solutions that will allow the undiscovered business potential to be tapped.
We offer a full range of services based on the application of Machine Learning solutions, AI and Big Data technology in the optimization of key processes in the company. We organize the process of collecting, cleansing, coding and anonymisation, data integration and aggregation, and above all extracting valuable business information from data sets.
Depending on the branch of business, we utilise various sources of internal and external information including but not limited to the following:
- the GPS systems and spatial data (GIS)
- social media portals, including network analysis
- mobile applications
- internet search engines
- transaction and production systems
- loyalty programs
- sales data
- audit reports
- devices equipped with sensors (so-called Internet-of-Things – IOT)
- socio-economic data
- macroeconomic data
- air pollution measurements
- stock market prices
Owing to our long-term experience in analytical work and the highly-developed IT system, we process all data in compliance with applicable security guarantees and in accordance with the provisions of the General Personal Data Regulation (GDPR).
The use of Artificial Intelligence algorithms and Big Data analytics enables quick and efficient market screening as well as obtaining and analysing millions of records in view of specific business problems. This tool is of great convenience and highly advantageous for people dealing with:
- business processes automation (including sales and customer service)
- optimization of production and distribution
- planning stock and inventory
- constant optimization of the pricing policy
- customer service processes automation
- market trends forecasting
- automation of marketing activities
Experts at ABR SESTA have extensive analytical and technical skills and work with state-of-the-art data analysis technologies including R, Python, Scala, Julia, relational databases (Oracle, MS SQL, PostgreSQL and PostGIS), as well as non-relational databases NoSQL type dedicated to BigData solutions (including Cassandra and MongoDB).
Depending on the project implemented, they utilise the following modelling techniques:
- prognostic and econometric models
- Machine Learning – both assisted learning models (classification, prediction) and unassisted (cluster analysis, data clustering, anomaly detection)
- neural networks and the so-called deep learning
- simulation models – modelling and optimization of complex business processes, both deterministic and with uncertainty
- webbots (crawlers)
ABR SESTA solutions are designed to process any data volume. We use techniques of parallel processing and dissipation of data analysis processes, machine learning and calculations, both with the use of Apache Hadoop ecosystem tools (including Apache Spark) as well as our customised, genuine solutions selected according to the characteristics of an analytical problem. We offer analyses performed using our infrastructure as well as in the cloud (Amazon Web Services) in concordance with GDPR requirements.