The Rapid Growth of eTerminal Drives The Need for Automation
The electricity market has developed rapidly in recent years, creating new opportunities but also bringing complex challenges. Market participants must manage vast amounts of data daily – from real-time prices and consumption forecasts to production volumes. In such conditions, manual data processing is both time-consuming and prone to errors, directly impacting a company’s efficiency and
Data Cleaning in Retail: The Foundation of AI Implementation
AI is only as good as the data it learns from. In retail, messy data can lead to costly mistakes. STACC helps businesses clean and structure their data, ensuring AI-driven solutions work accurately and efficiently. Find out why data cleaning is the key to success!
Smart Search Supports Policymakers’ Work
How can policymakers quickly find the right data in a sea of information? STACC and TEXTA developed a smart semantic search tool that helps civil servants retrieve critical insights faster and more accurately. Learn how AI is making decision-making more efficient!
Data-Driven Shopping Experience: How Coop Eesti Increases Customer Loyalty?
How do you keep customers coming back? STACC and Coop Eesti created an AI-driven personalized pricing system that tailors discounts to individual shopping habits, boosting loyalty and engagement. Discover how data science is shaping the future of retail!
Solar Energy Predictions: Illuminating Tomorrow’s Energy Landscape
How can we predict solar energy production with greater accuracy? STACC’s AI-powered model combines weather data and machine learning to optimize energy forecasting. With a backup plan for unpredictable conditions, we’re paving the way for a cleaner, greener future!
Enefit and STACC develop a forecasting model for balancing frequency markets
The popularity of electric cars has grown significantly worldwide, and in Estonia this trend is similarly on the rise. However, in many countries where the spread of electric vehicles is more extensive, questions are being raised about the ability to keep the electricity network stable. Enefit, in collaboration with STACC OÜ, has developed an innovative
Predicting Soil Temperatures with Meteorological and Remote Sensing Data
How can we predict soil temperatures without sensors? STACC and eAgronom developed a data-driven model using meteorological insights and machine learning to optimize farming decisions. Discover how AI is transforming precision agriculture!
Karl Kevin – diving into the data world with STACC
From nervous beginnings to hands-on projects, Karl Kevin shares his journey at STACC – where innovation, teamwork, and growth define the experience. Discover how a supportive environment and real-world challenges make STACC the perfect place to start a data career!
Video article: Personalized optimization in electric power system
How can data science help optimize energy consumption? STACC’s Arko Kesküla explores personalized optimization in electric power systems, showing how data-driven solutions reduce costs and support sustainability. Watch the full video to learn more!
