Generative Integration
- (Stanford University - Alvin Wei-Cheng Wong)
- Overview
Generative integration is an advanced approach to data and application integration that leverages generative AI (GenAI) and large language models (LLMs).
This innovative approach securely automates the creation of integration pipelines, simplifying the process of connecting disparate systems and data sources.
By leveraging AI and machine learning (ML) capabilities, generative integration can understand, interpret, and generate code, significantly reducing manual workload and increasing the efficiency and accuracy of data integration tasks.
In technology, generative integration is a combination of the terms generative AI (GenAI) (i.e., ChatGPT) and integration (i.e., technology that connects data, systems, and applications).
Generative integration is an advanced approach to data and application integration that leverages GenAI and large language models (LLM) to securely automate integration pipelines and simplify the process of connecting disparate systems and data sources.
By leveraging AI and ML capabilities, generative integration understands, interprets and generates code, significantly reducing IT teams' manual workload and increasing the efficiency and accuracy of data integration tasks.
This revolutionary combination of technologies provides an opportunity to make data and application integration and business process automation easy to implement, accessible to non-technical staff, and more effective.
[More to come ...]
