Meeting The Data Needs Of AI
The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language models that power them.
Where data science and machine learning tools were traditionally targeted toward developing and supporting data analytics and predictive analytics systems, these tools today are increasingly supporting the development of AI agentic systems, according to The 2025 Gartner Magic Quadrant for Data Science and Machine Learning Platforms.
Another major trend, according to the report, is a shift away from point-specific tools towards “full-stack data and AI platforms” that encompass model development and lifecycle management, data science tasks, data pipelines and other chores. What’s more, these platforms are themselves incorporating LLMs and GenAI assistants “to enhance the data science workflow.”
As part of CRN’s 2025 Year So Far series, here’s a look at some of the hottest data science and machine learning tools in use today. Some of the following tools are relatively new to the market while others have been around for a while and recently updated. The list also includes both commercial products and open-source software.
The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language models that power them.
Where data science and machine learning tools were traditionally targeted toward developing and supporting data analytics and predictive analytics systems, these tools today are increasingly supporting the development of AI agentic systems, according to The 2025 Gartner Magic Quadrant for Data Science and Machine Learning Platforms.
Another major trend, according to the report, is a shift away from point-specific tools towards “full-stack data and AI platforms” that encompass model development and lifecycle management, data science tasks, data pipelines and other chores. What’s more, these platforms are themselves incorporating LLMs and GenAI assistants “to enhance the data science workflow.”
As part of CRN’s 2025 Year So Far series, here’s a look at some of the hottest data science and machine learning tools in use today. Some of the following tools are relatively new to the market while others have been around for a while and recently updated. The list also includes both commercial products and open-source software.
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