15.3 Analytics Solutions in the Cloud
There are good reasons for machine learning projects to be moved to the cloud. The cloud makes it easy for businesses to scale up as projects go into production, to experiment, and to pay-as-you go. Having cloud-based machine learning projects also supports collaboration in the same way that cloud-based office tools have revolutionized the office environment. Choosing the right platform depends on the business’s purpose and requires a business to study the functionality of each service. These are just some of the general and specialized offerings available in the market (and that’s just from Amazon, Google, and Microsoft!):
| AWS | Azure | Google Cloud | |
| Data labeling | Amazon Sagemaker Ground Truth | Azure Machine Learning Data Labeling | Vertex AI Data Labeling |
| Language recognition / sentiment analysis | Amazon Comprehend | Azure Immersive Reader, Language Understanding, Text Analytics | Cloud Natural Language AI, Healthcare Natural Language API |
| Managed machine learning platform | Amazon SageMaker | Azure Machine Learning | TensorFlow Enterprise, Vertex AI |