With a 40% increase in reported incidents in 2023, AI governance is more essential than ever. See why DataRobot ranked #1 for Governance Use Case in the 2024 Gartner® Critical Capabilities for Data Science and Machine Learning Platforms, Machine Learning Engineering.
In the years since Gartner last released a Magic Quadrant for Data Science and Machine Learning (DSML), the industry has experienced massive shifts. DataRobot has also transformed dramatically from where we began to where we stand today.
Achieve an end-to-end view of your entire AI landscape with a single mode of AI governance for all your AI products.
DataRobot introduced a suite of advanced LLM evaluation, testing, and assessment metrics in their Playground, offering capabilities that set it apart from other platforms.
This 7-step safeguarding guide will walk you through how to set up an effective moderation system for your organization.
We’re thrilled to share that our customers have recognized DataRobot in the TrustRadius Top Rated Award in the following categories: Data science, Machine learning, Predictive analytics. Learn more
Our new comprehensive feature suite equips organizations to confidently deploy and govern GenAI applications while maintaining brand integrity and minimizing risk. Learn more.
Let’s dive in and see how you can easily set up endpoints for models, explore and compare LLMs, and securely deploy them, all while enabling robust model monitoring and maintenance capabilities in production.
When building a RAG application we often need to choose a vector embedding model, a critical component of many generative AI applications. Learn mor
There are six common roadblocks to proving business value with generative AI — and we’ll show you how to steer clear of each one.