2
Exploring ML Business Use Cases
As an ML practitioner, it is essential for me to develop a deep understanding of different businesses to have effective conversations with business and technology leaders. This should not come as a surprise since the ultimate goal of any ML solutions architecture is to solve practical business problems with science and technology solutions. Therefore, one of the main areas of focus for ML solutions architecture is to develop a broad understanding of different business domains, workflows, and relevant data. Without this understanding, it would be challenging to make sense of the data and design and develop practical ML solutions for business problems.
In this chapter, we will explore various real-world ML use ...
Get The Machine Learning Solutions Architect Handbook - Second Edition now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
