Abstract: System and method for generating and displaying data pipelines according to certain embodiments. For example, a method includes: receiving a natural language (NL) query; receiving a model result generated based on the NL query, the model result including a query in a standard query language, the model result being generated using one or more computing models; and generating the data pipeline based at least in part on the query in the standard query language, the data pipeline comprising one or more data pipeline elements, at least one data pipeline element of the one or more pipeline elements being corresponding to a query component of the query in the standard query language.

Abstract: An artificial intelligence system can be used to respond to natural language inputs (e.g., user submitted inputs) where the response involves a data processing workflow involving language models. The artificial intelligence system can use “profiles” associated with a user, role, cohort, and/or organization to bring additional operational context into user interactions within the artificial intelligence system.

Abstract: A data orchestration system can be used to respond to natural language prompts (e.g., user submitted prompts) where the response involves a data processing workflow being executed using one or more data processing services (e.g., microservices of a data processing platform or software). This can provide for execution of data processing workflows (e.g., complex workflows) without a user needing to specify the particular data processing services that are included in the data processing workflows. This can cause new functionality to be available to a user (e.g., to a user who lacks the technical skillset to specify the relevant data processing services without use of the systems and methods disclosed herein), and/or can dramatically reduce the time required to orchestrate the data processing services that are included in the data processing workflows.

Abstract: System and method for generating and displaying data pipelines according to certain embodiments. For example, a method includes: receiving a natural language (NL) query; receiving a model result generated based on the NL query, the model result including a query in a standard query language, the model result being generated using one or more computing models; and generating the data pipeline based at least in part on the query in the standard query language, the data pipeline comprising one or more data pipeline elements, at least one data pipeline element of the one or more pipeline elements being corresponding to a query component of the query in the standard query language.