Transform Business with Advanced MLOps Services and Solutions

Harness comprehensive MLOps services to drive value across the ML model lifecycle

Partner with Tredence to set up an MLOps practice that unlocks progressively greater business value the more models you deploy. Our advisory and strategy services offer a blueprint for increasing your MLOps maturity and enabling key use cases. Implement your new platform, architecture, and tooling with Tredence to set up your MLOps program for success. And harness our managed services to operate and maintain AI/ML models at scale, while ensuring their quality.

Advisory and strategy services

Tap our advisory and strategy services to evaluate your MLOps maturity, develop a strategy and business case, and prioritize use cases. Work with Tredence to make platform, architecture, and tooling choices to support your growth. Use our responsible AI strategies and services to determine how to serve and scale models free from bias and errors.

Implementation services

Partner with Tredence to deploy the platform, architecture, and tooling to scale MLOps capabilities. Implement feature stores and use new features to ensure data quality; enable model experimentation, training, and validation; and set up model orchestration and workflow. Capitalize on our automated processes to observe, monitor, and interpret models; detect data and model drift; and automatically retrain and redeploy models to improve their accuracy.

Managed services

Leverage Tredence managed services to gain end-to-end AI/ML model management capabilities that enable you to operate complex models across verticals and regions, scale models rapidly, and free your data science talent to develop new solutions. Use Tredence to deploy and productionize your models while driving ongoing process improvements that improve performance and reduce platform costs.

Solutions that provide repeatable processes for ML model management

Tredence provides accelerators, MLWorks and Edge AI, to manage models from the cloud to the edge. Gain repeatable processes that speed time to value by 50%, using Tredence accelerators to build new solutions.

MLWorks

Leverage Tredence’s customizable observability and monitoring accelerator, MLWorks, to gain a holistic view of all data science and machine learning activity. Use our feature store to do feature engineering, ensuring data quality, managing models at scale, monitor model and workflow performance, and identify and correct model drift and production failures.

Edge AI

Use our Edge AI accelerator to deploy models onto connected devices, using neural networks and deep learning to enable real-time data processing and analysis. Manage edge deployments to achieve desired outcomes, such as detecting performance anomalies.