AI Operations & Infrastructure

Unify your data with data lakehouse architecture. Explore its definition, core layers, and practical diagrams to gain faster insights and reduce costs.

A vector database is a system designed to store, manage, and search data that has been converted into numerical representations called vectors.

Hugging Face is an open-source platform and community that provides tools, models, and datasets for building modern artificial intelligence systems. It began with chatbot technology but has since become one of the most widely used ecosystems for machine learning and natural language processing (NLP). Developers use it to access state-of-the-art models, collaborate on research, and accelerate AI development.

Inference in artificial intelligence refers to the process of applying a trained machine learning model to new data to generate predictions, classifications, or decisions. It’s the stage where a model moves from learning patterns in training data to making real-world…

Latency refers to the time delay between an input and its corresponding output in a system. In artificial intelligence and machine learning, latency measures how long it takes for a model to process data and return a prediction, response, or…

Master Data Management (MDM) is the process of creating, maintaining, and governing a single, trusted source of critical business data across an organisation. It ensures that information such as customers, products, employees, and suppliers is accurate, consistent, and up to…

MLOps, short for Machine Learning Operations, is the practice of managing and automating the lifecycle of machine learning models, from development and deployment to monitoring and maintenance. It brings together data science, engineering, and operations to ensure that AI models…

Model Drift refers to the gradual decline in a machine learning model’s performance over time as real-world data diverges from the data it was originally trained on. It can lead to inaccurate predictions, biased outcomes, and unreliable decision-making in production…

ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) are data integration processes that move data from multiple sources into a central repository such as a data warehouse or data lake. These workflows are essential for building reliable pipelines that…

AI-as-a-Service (AIaaS) is a cloud-based delivery model that allows organisations to access Artificial Intelligence (AI) capabilities without building or maintaining the infrastructure themselves. It brings powerful machine learning tools, models, and APIs directly through third-party platforms, making AI accessible and…