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
High-quality data is essential for successfully applying machine learning or AI and building reliable, efficient systems. In retail, where quick decision-making and precision directly impact a company’s profitability, data quality is critical. However, data is rarely perfectly structured, consistent, or error-free. The success of machine learning and AI projects heavily depends on thorough data cleaning.
Policymaking requires access to high-quality, relevant information. But how can critical data be identified amidst an ever-growing volume of content? This challenge prompted the Government Office of Estonia to commission STACC and TEXTA to develop a solution. The result: a prototype of a semantic search tool that enables civil servants to find information faster, easier,
How can a retailer identify the products that keep customers coming back? In collaboration with Coop Eesti, STACC developed a data-driven solution that offers customers personalized product discounts based on their preferences. Leveraging machine learning, we designed an innovative model that personalizes the shopping experience and strengthens customer loyalty. This solution is unique in Estonia,
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
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