Datadog acquires Adaptive ML

Alexis Lê-Quôc highlights the limitations of off-the-shelf AI models in addressing complex, domain-specific challenges, emphasizing the importance of tuning and refining models with real-time organizational data for sustained AI value. The announcement of Adaptive ML joining Datadog marks a significant step towards this vision by integrating Adaptive ML's platform, which allows enterprises to customize and deploy specialized AI agents, with Datadog's extensive observability data expertise. Adaptive ML's Adaptive Engine enables organizations to fine-tune models using reinforcement learning and synthetic data, evaluate them with bespoke AI judges and A/B testing, and iteratively improve them by incorporating production signals. The collaboration aims to advance specialized agents and models that are more effective in production environments, leveraging real-world infrastructure, application, and security data from Datadog. This partnership seeks to explore new research opportunities in autonomous operations, transitioning from simple alert systems to adaptive, action-oriented AI systems.

No tracked trend matches for this post yet.