Wed Sep 18 00:37:00 UTC 2024: ## DataOps.live Unveils New AIOps Capabilities to Streamline AI Workload Management

**LONDON, Sept. 18, 2024** – DataOps.live, the leading provider of data product solutions, has announced the launch of its new AIOps capabilities, a game-changing set of features designed to simplify the end-to-end management of AI workloads from development to production.

This innovative technology, leveraging Snowflake Cortex and AWS Bedrock, empowers data professionals to seamlessly build and operationalize AI-driven data products. By automating critical aspects of AI workload management, DataOps.live addresses the industry’s growing demand for streamlined processes.

“With our new AIOps capabilities, users can now define, train, and validate models, as well as assess their fit through training loss scoring,” explained Guy Adams, CTO at DataOps.live. “This ensures that AI models are optimized around each critical dimension, such as quality, cost and speed for each business use case.”

These new features include:

* **Model Development and Training:** Efficiently define, train, and validate models within the DataOps.live platform.
* **Model Assessment and Optimization:** Assess model performance through training loss scoring to ensure they meet specific business needs.
* **Model Governance and Auditability:** Maintain control and visibility over model changes throughout their lifecycle, ensuring regulatory compliance and trust.

“This launch underscores our commitment to providing a complete foundational level of capability that boosts data engineering productivity,” added Adams. “DataOps.live ensures that every step of the AI workload process is streamlined and optimized, providing the critical capabilities needed for businesses to leverage the power of AI effectively.”

The announcement comes at a time of significant growth in the AI market, with IDC reporting a 26.6% increase in spending on AI lifecycle workloads in the past year. DataOps.live’s new AIOps capabilities are poised to help businesses stay ahead of the curve by providing a comprehensive platform for managing and operationalizing AI workloads.

To learn more about DataOps.live’s AIOps capabilities, visit [website link] or register for their upcoming webinar on September 26th, “DataOps meets AIOps.”

Read More