Recognized as a Leader in AI Platforms for Data Science and Machine Learning
by Craig Wiley, Kasey Uhlenhuth, Kayli Berlin and Cynthya Peranandam
Enterprises are rapidly deploying agentic applications at scale, from back-office micro apps that automate routine tasks to agents that power customer experiences across industries and departments. But general-purpose foundation models, disconnected from enterprise data and lacking centralized governance controls, can't deliver the accuracy, compliance, or business context these agents and applications demand. Equally critical, they introduce risk: uncontrolled model and data access, inconsistent policies, lack of observability, and fragmented audit trails.
We believe Gartner's decision to reclassify this category from "Data Science and Machine Learning" to "AI Platforms for Data Science and Machine Learning" confirms our longstanding view: AI is no longer a peripheral experiment — it's the operating model of the modern enterprise, grounded in business context.
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