Category: Data Governance

Data Labelling

Post author By EfficiencyAI
Post date 31 May 2025
Categories In Artificial Intelligence, Data Governance, Data Science

Data labelling is the process of adding meaningful tags or labels to raw data so that machines can understand and learn from it. This often involves identifying objects in images, transcribing spoken words, or marking text with categories. Labels help computers recognise patterns and make decisions based on the data provided.

Data Cleansing

Post author By EfficiencyAI
Post date 31 May 2025
Categories In Data Engineering, Data Governance, Data Science

Data cleansing is the process of detecting and correcting errors or inconsistencies in data to improve its quality. It involves removing duplicate entries, fixing formatting issues, and filling in missing information so that the data is accurate and reliable. Clean data helps organisations make better decisions and reduces the risk of mistakes caused by incorrect…