ECOSYSTEM
← Back to Glossary
AI
Artificial Intelligence (AI) refers to computer systems designed to perform tasks that typically require human intelligence.
Artificial Intelligence (AI) refers to computer systems designed to perform tasks that typically require human intelligence. For data analysts and engineers, AI often manifests as machine learning models that can analyze large datasets, make predictions, or generate content. In the context of data pipelines, AI can be used to automate data cleaning, enhance data quality, or provide insights through natural language processing. Tools like OpenAI's GPT models or Google's TensorFlow enable data professionals to incorporate AI capabilities into their workflows, potentially revolutionizing how data is processed and interpreted. As AI continues to evolve, it's becoming an increasingly important skill for data practitioners to understand and leverage in their work.
Related terms
Large Language Model (LLM) →
A Large Language Model (LLM) is an artificial intelligence system trained on massive amounts of text data that can understand, generate, and manipulate human…
Business Intelligence (BI) →Business Intelligence (BI) refers to the technologies, applications, and practices used to collect, integrate, analyze, and present business information.
data →Data refers to raw facts, figures, or information that can be collected, stored, and processed for analysis or decision-making purposes.
dataset →A dataset is a collection of related data points or records, typically organized in a structured format for analysis or processing.
storage layer →The storage layer refers to the component of a data system responsible for persistently storing and managing data.
pipelines →Data pipelines are automated workflows that move and transform data from various sources to one or more destinations.
