We build AI models to automate repetitive tasks such as identifying objects. However, the required data changes over time. The models need to be updated regularly. Updating the AI models is a tedious process, and therefore MLOps is a new discipline that combines machine learning, data engineering, and DevOps, which aims to deploy and maintain the machine learning system in production reliably and efficiently. Unlike traditional software, Machine learning is about codes and data.
Although the codes won’t be affected easily, the data input might be varied because our world changed. For example, there will always be new models for the vehicles, unexpected objects detected, and so on. Therefore, the AI pipeline, from collecting data to annotation to training to deployment, needs to be executed again and again. This is a very expensive and time-consuming process.
Build Your Own AI
Therefore, our sister company PowerArena introduces a new feature to their AI platform called Build Your Own AI (BYOAI). It automates a lot of steps in MLOps so that it is now the end users instead of the data scientists can train the AI with ease.
Let’s see the difference between the traditional MLOps process and that with the help of the BYOAI.
Just like building a website, the what-you-see-is-what-you-get interface and the drag-and-drop function on WordPress allow the end-users to update, or even redesign their websites easily without the trouble of composing complex codes. Similarly, With the BYOAI platform, the end-users of an AI model can reduce the trouble of seeking coding assistance, and finish the ML Ops process by themselves.
We believe our city will get smarter and smarter over time, that everyone should be able to make great use of and be benefit by the technology. That is the reason why we design BYOAI to make ML- Ops process more efficient and easy for everyone. If you are interested in more of our works regarding smart city development, feel free to visit our website for more insights and case studies.