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Home / Glossary / Data-driven control system

What is Data-driven control system?

A data-driven control system leverages real-time data and machine learning algorithms to optimize processes and decision-making. These systems are widely used in automation, manufacturing, and smart infrastructure applications.

Related Glossaries

  • Production Drift (non-model) Production Drift, in the non-model sense, refers to performance changes caused by shifts in production execution conditions even when the model itself has not changed. These shifts may involve data formats, access conditions, pipeline structure, or state transitions.
  • Data Science Data science is an interdisciplinary field that combines statistical analysis, machine learning, and data engineering to extract insights from structured and unstructured data. It plays a crucial role in predictive analytics, business intelligence, and AI development. Data scientists use tools…
  • Data Store Data store refers to a storage system or repository that holds data in various formats, including structured, semi-structured, and unstructured data. It serves as a foundation for databases, data lakes, and other storage solutions, enabling efficient data retrieval and management.
  • Streaming Data Streaming data refers to continuous, real-time data generated from sources like sensors, social media, and financial transactions. It is processed using frameworks like Apache Kafka and Spark Streaming for low-latency analytics.
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