AIOps capabilities that offer from beginning to-end lifecycle management for AI workloads from research to production are being offered by The Data Products Company.

These most recent AIOps features, which are based on AWS Bedrock and Snowflake Cortex, allow data scientists, data product owners, and data engineers to rapidly and simply create and implement AI-driven data products with unmatched consistency, scalability, and governance, according to the business.

Users may now identify, train, and verify models with these new AIOps solutions. They can also evaluate the models' fit using training loss scoring. This guarantees AI models have been optimized around each essential parameter, including quality, cost, and performance for each business use case.

Guy Adams, CTO of DataOps.live, stated that with the introduction of their new line of AIOps capabilities, they are offering a full foundational level of capability that increases the productivity of data engineers and offers the essential capabilities required to operationalize AI models and workloads within DataOps.live pipelines. As businesses use AI models to make actual decisions, the efficiency of developers, model governance, model change control, and model audibility become increasingly important. DataOps.live makes sure that these factors are integrated into every stage of operationalizing AI workloads.