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Buyers Guides for AI Platforms
2025 Software Provider and Product Assessment
ISG Research defines AI platforms as those platforms that include the ability to prepare, train, deploy and maintain AI models. Preparing a model requires accessing and preparing data used in the modeling process. Training a model requires tooling for data scientists to explore, compare and optimize models developed using different algorithms and parameters. Deploying and maintaining models require governance and monitoring frameworks to ensure that models comply with both internal policies as well as regulatory requirements. And, when models are out of compliance, the platforms should provide mechanisms to retrain and redeploy new models that are compliant.
The Buyers Guides for AI Platforms evaluate providers across three software categories with a unique Buyers Guide and research for each category to help enterprises assess and select software providers.
- The AI Platforms Buyers Guide evaluates 29 providers and products based on support for features relating to data preparation, types of modeling, AutoML, agentic AI, GenAI, developer and data scientist tooling, MLOps/LLMOps, advanced model optimization and investment . The guide assesses the following providers: Alibaba Cloud, Altair, Alteryx, Anaconda, AWS, C3 AI, Cloudera, Databricks, Dataiku, DataRobot, Domino Data Lab, Google Cloud, H2O.ai, Huawei Cloud, Hugging Face, IBM, MathWorks, Microsoft, NVIDIA, Oracle, Palantir, Quantexa, Red Hat, Salesforce, SAP, SAS, Snowflake, Teradata and Weights & Biases.
- The Agentic and Generative AI Buyers Guide evaluates 28 providers and products in the following key areas: agentic AI, GenAI, preparation of data used in AI processes, support for optimizing model execution, developer tooling and LLM operations. The guide assesses the following providers: Alibaba Cloud, Altair, Anthropic, Automation Anywhere, AWS, C3 AI, Cohere, Databricks, Dataiku, DataRobot, Domino Data Lab, Google Cloud, H2O.ai, Hugging Face, IBM, Microsoft, NVIDIA, OpenAI, Oracle, Palantir, Quantexa, Salesforce, SAP, ServiceNow, Snowflake, Teradata, UiPath and Weights & Biases.
- The Machine Learning and Large Language Model Operations Buyers Guide evaluates 29 providers and products with specific ML/LLMOps support. The ML/LLMOps Buyers Guide uses portions the AI platform capability framework, and to be included in this Buyers Guide, products must include AI/ML pipelines, LLM fine-tuning processes, developer tooling, repeatability, monitoring, governance and deployment capabilities. The guide assesses the following providers: Alibaba Cloud, Altair, Alteryx, Anaconda, AWS, C3 AI, Cloudera, Databricks, Dataiku, DataRobot, Domino Data Lab, Google Cloud, H2O.ai, Huawei Cloud, Hugging Face, IBM, MathWorks, Microsoft, NVIDIA, Oracle, Palantir, Quantexa, Red Hat, Salesforce, SAP, SAS, Snowflake, Teradata and Weights & Biases.
To view the executive summaries of the research, please select the report below.
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To learn more about our Buyers Guide services for software providers including purchasing the complete research and charts or performing an assessment, click here.
View the 2025 Buyers Guides for AI Platforms