Summary
In this chapter, I have shared some of my personal experience as an ML solutions architect and provided an overview of core concepts and components involved in the ML lifecycle. We discussed the key responsibilities of the ML solutions architect role throughout the lifecycle. This chapter aimed to give you an understanding of the technical and business domains required to work effectively as an ML solutions architect. With this foundational knowledge, you should now have an appreciation for the breadth of this role and its integral part in delivering successful ML solutions.
In the upcoming chapter, we will dive into various ML use cases across different industries, such as financial services and media and entertainment, to gain further insights into the practical applications of ML.
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