Data science and machine learning (DSML) platforms provide users with tools to build, deploy, and monitor machine learning algorithms. These software platforms combine intelligent, decision-making algorithms with data, thereby enabling developers to create a business solution. Some data science and machine learning platforms offer prebuilt algorithms and simplistic workflows with features such as drag-and-drop modeling and visual interfaces that easily connect necessary data to the end solution, while others require a greater knowledge of development and coding. These algorithms can include functionality for image recognition, natural language processing, voice recognition, and recommendation systems, in addition to other machine learning capabilities.
The nature of some DSML engineering platforms enables users without intensive data science skills to benefit from the platforms’ features. AI platforms are very similar to platforms as a service (PaaS), which allow for basic application development, but these products differ by offering machine learning options.
To qualify for inclusion in the Data Science and Machine Learning (DSML) Platforms category, a product must:
Present a way for developers to connect data to the algorithms for them to learn and adapt
Allow users to create machine learning algorithms and/or offer prebuilt machine learning algorithms for more novice users
Provide a platform for deploying AI at scale
