📌 DevSecOps Summary
🙋🏻♂️ Explain DevSecOps Simply
📅 How Can it be used?
🗺️ Real World Examples
✅ FAQ
📚 Categories
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Feature Disentanglement
Feature disentanglement is a process in machine learning where a model learns to separate different underlying factors or features within complex data. By doing this, the model can better understand and represent the data, making it easier to interpret or manipulate. This approach helps prevent the mixing of unrelated features, so each important aspect of the data is captured independently.
AI for Business Intelligence
AI for Business Intelligence refers to using artificial intelligence technologies to help organisations analyse data and make better business decisions. AI can automatically find patterns, trends, and insights in large amounts of information that would be difficult for people to process manually. This allows companies to respond faster to changes, predict future outcomes, and improve their strategies.
Knowledge Graph Completion
Knowledge graph completion is the process of filling in missing information or relationships in a knowledge graph, which is a type of database that organises facts as connected entities. It uses techniques from machine learning and data analysis to predict and add new links or facts that were not explicitly recorded. This helps make the knowledge graph more accurate and useful for answering questions or finding connections.
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Workforce capability mapping is a process used by organisations to identify and assess the skills, knowledge and abilities of their employees. It helps managers understand what their teams can do and where there might be gaps or areas for improvement. By mapping workforce capability, organisations can plan training, recruitment and development more effectively to meet business goals.