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What is Foundation Models?

Foundation models are large-scale AI models trained on vast amounts of data to serve as a base for various applications, including NLP, computer vision, and generative AI. Examples include GPT (language models) and CLIP (multimodal AI), enabling transfer learning across domains.

Data Mesh
Data mesh is a decentralized approach to data architecture that treats data as a product, enabling domain-oriented ownership and self-serve data infrastructure. It promotes scalability, agility, and improved data governance, making it ideal for large organizations with complex data ecosystems.
Big Data
Big Data refers to large and complex datasets that require specialized tools and technologies for processing and analysis. It is characterized by the three Vs: Volume (massive amounts of data), Velocity (high-speed data generation), and Variety (structured and unstructured data). Big Data analytics is used in fields such as healthcare, finance, marketing, and cybersecurity to extract valuable insights and drive data-driven decisions.
Information privacy
Information privacy refers to the rights and practices that govern how personal data is collected, used, stored, and shared. It ensures individuals maintain control over their sensitive information, with regulations like GDPR and CCPA enforcing transparency, consent requirements, and security measures to prevent unauthorized data access.