Using artificial intelligence (AI) in a corporate environment follows a normal process of risk assessment. Managers evaluate the feasibility of a project and return on investment before giving a green signal to an AI implementation.
This chapter builds on the k-means clustering presentation that Pert Ex, our AI expert, made in Chapter 6, Don't Get Lost in Techniques – Focus on Optimizing Your Solutions. The time has come to carefully deploy a large number of datasets by first showing that a classical approach will not work. Then we use the proper architecture to get the project on track.
Amazon Web Services(AWS) SageMaker and Amazon S3 provide an innovative way to train machine learning datasets. The goal here is not to suggest that AWS could be the best solution but to show the best of AWS. AWS will constantly evolve, just...
