Accelerate AI Implementation with Low-Code Development
UAE businesses face multiple pressures such as the need to provide digital experiences, ensure privacy and security, and drive innovation. However, there is a skills gap in the talent pool available to deliver these requirements, which makes it difficult for CIOs to meet all the demands.
The Role of Low-Code Development
Low-code development platforms (LDPs) offer an intuitive work environment where non-coders can build solutions without writing much code. This makes it easier for non-technical staff to learn new skills and perform more challenging tasks, while professional coders can concentrate on more complex problems. The use of LDPs leads to quicker time to production and greater success rates in projects undertaken by non-coders, as they are also the end-users and requirements do not get lost in translation.
Benefits of Low-Code Development
Low-code and no-code tools have been effective digital transformation accelerators, enabling even non-technical staff to innovate with data and ideate. LDPs also work with advanced technologies such as AI and eliminate the traditional trade-off between off-the-shelf AI products and pure-built solutions. In addition, a collaborative culture involving people from different parts of the enterprise is necessary for the success of an AI project.
Getting Started with Low-Code Development
To implement low-code development, the technology space must be easy to understand for non-technical professionals. IT departments should eliminate data silos and establish a unified analytics-ready environment. Stakeholders should have a meeting of minds to uncover the most appropriate internal use cases, which can be assigned to developers with appropriate skills.
Benefits for Technical Staff
LDPs can help technical staff such as data scientists with model maintenance, eliminating repetition that would normally plague their daily schedule. LDPs can also be repositories and catalogues for code, allowing data scientists to see at a glance what tasks have been completed and are pending. Finally, LDPs deliver the visibility needed to gather clear performance metrics for models and draw a clear line between design and production environments.
Conclusion
Low-code and no-code development platforms are indispensable elements of a larger strategy towards digital transformation and Everyday AI, in which each skill set, technical and non-technical, is utilized to the fullest.
