Architecting the future – unleashing the power of AI solutions through the AI Architecture Framework
In this section, we will delve into the key aspects of the AI Architecture Framework, focusing on understanding the target audience, solution objectives, and the problem to be resolved. We will also explore the data life cycles within the solution, including input interfaces, data sources, data collection, data preparation, data storage, and data delivery. Additionally, we will discuss the architecture design, encompassing the model, platform, tools, frameworks, typical architectures, and how end users will interact with the solution. Lastly, we will touch upon the importance of learning and improvement in AI architectures.
The AI Architecture Framework is a comprehensive structure designed to guide the development and implementation of AI solutions. Our framework stands out for its systematic approach, encompassing everything from understanding the objectives to practical...
