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What is Privacy by design?

Privacy by design is a proactive approach to data protection that integrates privacy considerations into the design of products, systems, and business processes. It emphasizes minimizing data collection, enabling user control, and ensuring compliance with privacy regulations from the outset.

AI safety
AI safety focuses on ensuring that artificial intelligence systems operate reliably and do not pose unintended risks to humans. This includes preventing harmful behaviors, aligning AI goals with human values, and developing fail-safe mechanisms.
Data validation
Data validation is the process of verifying the accuracy, consistency, and integrity of data before its use in analytics, machine learning models, or business processes. It ensures data correctness by detecting errors, inconsistencies, and missing values, improving the reliability of insights derived from datasets.
Predictive Analytics
Predictive analytics refers to the use of statistical techniques and machine learning algorithms to analyze historical data and predict future trends. It is widely applied in finance, healthcare, marketing, and risk management for data-driven decision-making.

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