Generative artificial intelligence (GenAI) is increasingly being used in low-code platforms for application development, particularly in Kenya. Private and public institutions are turning to GenAI to enhance their value and generate quick fixes for repetitive tasks. However, it is important to consider several factors when using low-code platforms with AI capabilities.
Firstly, platform maturity is crucial. It is advisable to select a low-code platform with extensive GenAI integration and strong large language model (LLM) capabilities. This ensures that the platform is well-developed and can effectively leverage GenAI technology.
Privacy and security are also significant considerations. When using GenAI in low-code platforms, it is essential to ensure that the platform has robust privacy and security measures in place. This helps protect sensitive data and mitigate the risk of data breaches.
Compliance and governance are additional factors to keep in mind. Organizations should choose a low-code platform that complies with relevant regulations and industry standards. Additionally, the platform should have proper governance mechanisms to ensure responsible and ethical use of GenAI.
Looking towards the future, long-term low-code platforms are expected to train and launch proprietary LLMs. Therefore, it is advisable to start small when adopting new technology, assess progress, and scale accordingly.
It is important to note that while GenAI can enhance low-code platforms, it cannot completely replace them without human involvement. Comprehensive onboarding interventions are necessary to maximize the benefits of using GenAI in low-code platforms.
In conclusion, the use of generative AI in low-code platforms offers numerous benefits for application development. However, organizations should carefully consider platform maturity, privacy and security, compliance and governance, and the need for comprehensive onboarding interventions. By doing so, they can effectively leverage GenAI technology and enhance their low-code development processes. [54cb4071]
