Exploring AI-driven Use Cases in Integration Platform Red Hat
Lintula, Mari (2024)
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024061022705
https://urn.fi/URN:NBN:fi:amk-2024061022705
Tiivistelmä
In today's rapidly evolving digital landscape, integrating artificial intelligence (AI) technologies into platform development is crucial for enhancing efficiency and fostering innovation.
This research delves into AI-driven use cases within the Red Hat integration platforms development tools and identifies practical applications that optimise development processes and business models. It provides examples such as code generation and support by ChatGPT and introduces AI agents for intelligent error handling, monitoring, and coordination in the development process.
Utilising qualitative research and case study methodology, the study explores historical aspects, technological background, and real-world scenarios to offer actionable insights and recommendations. By examining AI's impact on programming processes and business models, the research highlights the potential of AI technologies to streamline workflows, optimise resource allocation, and expedite project timelines within integration platforms.
The findings underscore the significance of strategic planning, collaboration, and iterative data analysis in successfully integrating AI into development processes. Overall, the research aims to provide valuable insights for professionals in the field and demonstrate the benefits of AI-driven solutions in revolutionising integration platforms such as Red Hat OpenShift.
This research delves into AI-driven use cases within the Red Hat integration platforms development tools and identifies practical applications that optimise development processes and business models. It provides examples such as code generation and support by ChatGPT and introduces AI agents for intelligent error handling, monitoring, and coordination in the development process.
Utilising qualitative research and case study methodology, the study explores historical aspects, technological background, and real-world scenarios to offer actionable insights and recommendations. By examining AI's impact on programming processes and business models, the research highlights the potential of AI technologies to streamline workflows, optimise resource allocation, and expedite project timelines within integration platforms.
The findings underscore the significance of strategic planning, collaboration, and iterative data analysis in successfully integrating AI into development processes. Overall, the research aims to provide valuable insights for professionals in the field and demonstrate the benefits of AI-driven solutions in revolutionising integration platforms such as Red Hat OpenShift.