Data science and machine learning (DSML) platforms provide tools to build, deploy, and monitor machine learning algorithms by combining data with intelligent, decision-making models to support business solutions. These platforms may offer prebuilt algorithms and visual workflows for nontechnical users or require more advanced development skills for complex model creation.
Core Capabilities of Data Science and Machine Learning (DSML) Software
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 algorithms so they can learn and adapt
- Allow users to create machine learning algorithms and/or offer prebuilt algorithms for novice users
- Provide a platform for deploying AI at scale
How DSML Software Differs from Other Tools
DSML platforms differ from traditional platform-as-a-service (PaaS) offerings by providing machine learning–specific functionality, such as prebuilt algorithms, model training workflows, and automated features that reduce the need for extensive data science expertise.
Insights from G2 Reviews on DSML Software
According to G2 review data, users highlight the value of streamlined model development, ease of deployment, and options that support both nontechnical and advanced practitioners through visual interfaces or coding-based workflows.
