Across industries, companies are struggling with AI projects that are too difficult to manage, either because teams have to start working from the ground up or because their efforts have to be scaled manually, taking up too much time and effort to see the light of day. For AI to make a significant contribution to the business, it must be industrialized - scaled across the organization and embedded into core processes and workflows.
Only highly reliable AI models can help in achieving such scale, when powered by ML Ops which provides a best-in-class framework for the AI life cycle. Leverage our ML Works solution to not only manage ML Ops successfully but also industrialize it. Our automated workflows and pre-built accelerators help you track model degradation, manage code workflow, and fast track model Ops management across the enterprise. Scale thousands of machine learning models, reduce outages and simplify model monitoring with ML Works.
We deliver impact through our industrialized MLOps solution that provides a gateway to initializing machine learning operations. Our key offerings for operationalizing MLOps include designing (experimentation tracking, model registry/archive, and hyperparameter tuning), testing (model accuracy, model performance and optimal model selection), model deployment (CI/CD versioning; Paas, IaaS, container and release management), and model monitoring (business KPIs, model accuracy and errors, and alerts and notifications).
Get the benefit of human-friendly explainable AI to give you a simplified view of model predictions, along with metrics customized for individual user persona to provide the most relevant information for each function. Our immersive visual workflow graph provides end-to-end model visibility and pipeline traceability. Automated alerts of data and model drift help you continuously monitor production models for accuracy and relevance.
Our rich partnership ecosystem has given us access to robust tools, capabilities, and know-how to ensure seamless pluggability. Enjoy effortless data ingestion from any kind of data source as we are 100% native to the world’s most leading cloud platforms. Our certified resources are equipped to handle out-of-the-box MLOps integrations.
Leverage our proactive care and maintenance of MLOps platform infrastructure through ongoing and regular support for better operational efficiency. We offer 24/7 model management with a production SLA commitment and automated incident management system, handled expertly by our on-demand data science teams.
Get the benefit of human-friendly explainable AI to give you a simplified view of model predictions, along with metrics customized for individual user persona to provide the most relevant information for each function. Our immersive visual workflow graph provides end-to-end model visibility and pipeline traceability. Automated alerts of data and model drift help you continuously monitor production models for accuracy and relevance.
Intuitive MLOps Graph
Persona Based Insights
Insights into the model health for faster value realization
Cloud-agnostic lean and agile adoption
Autonomous monitoring and 360-degree view of model management
Holistic MLOps management and engagement mode