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Data Cleaning in Retail: The Foundation of AI Implementation

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!

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Smart Search Supports Policymakers’ Work

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!

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Data-Driven Shopping Experience: How Coop Eesti Increases Customer Loyalty?

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!

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Solar Energy Predictions: Illuminating Tomorrow’s Energy Landscape

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!

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Enefit and STACC develop a forecasting model for balancing frequency markets

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

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Predicting Soil Temperatures with Meteorological and Remote Sensing Data

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!

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