Data & AI
Transforming raw data into strategic insights through artificial intelligence and advanced data analytics technology.
Our Data & AI solutions are designed to help organizations manage, integrate, and optimize their data assets. From building data warehouses and data lakes, implementing business intelligence (BI), to developing machine learning and artificial intelligence models, we empower you to make faster, more accurate, and truly data-driven business decisions.
Services Provided
Data Engineering & Pipeline
Building robust data architectures, including ETL/ELT pipeline design, heterogeneous data source integration, and data flow orchestration using modern tools such as Apache Airflow, Apache Kafka, and Spark.
Data Warehouse & Data Lake
Implementation of large-scale data storage and management solutions on cloud or on-premise, including data lakehouse development that combines the flexibility of a data lake with the performance of a data warehouse.
Business Intelligence & Data Visualization
Development of interactive dashboards and reports using leading BI platforms (Tableau, Power BI, Metabase) to deliver clear and actionable business insights for decision-makers.
Machine Learning & Predictive Analytics
Development and deployment of machine learning models for various business needs, from demand forecasting, customer segmentation, anomaly detection, to historical data-based risk analysis.
Artificial Intelligence & Generative AI
Implementation of advanced AI solutions including Natural Language Processing (NLP), computer vision, and the use of Large Language Models (LLM) and Generative AI for process automation, intelligent chatbots, and product innovation.
Data Governance & Data Quality
Application of a comprehensive data governance framework, including metadata management, data cataloging, data lineage, and data quality policies to ensure data accuracy, consistency, and reliability.
MLOps & AI Platform
Building MLOps platforms to automate the machine learning model lifecycle, from training, testing, deployment, to continuous model monitoring in production environments.
Data Strategy & Consulting
Strategic guidance in developing an organizational data transformation roadmap, including data maturity assessment, appropriate technology selection, and internal team capability development.