Data citizenship: empowering people by not only giving them access to data in the organisation but also support them in data wrangling and making relevant analysis through the use of intuitive, low code and no code modelling tools.

CI/CD: Continuous integration and Continuous Delivery is the practice of integrating source code changes frequently and ensuring that the integrated codebase is in a workable state. Typically, developers merge changes to an integration branch, and an automated system builds and tests the software system.

Data Observability: this concept emphasizes the importance of monitoring and understanding data flows within organizations, ensuring data quality and reliability, which is crucial for effective AI and machine learning applications.

API Productisation: the term refers to treating APIs as products rather than mere technical interfaces. This shift encourages businesses to track the value and performance of APIs, enhancing their strategic importance.

Assistive technology: It’s about tools and systems designed to enhance human capabilities, emphasizing the need for human oversight and interaction in technology deployment;

GenAI: KNIME supports GenAI development and has an AI assistant to help you with workflow design.