Get the most out of your MLOps investments by automating your ML Lifecycle at scale, with Indium’s repeatable framework and powerful suite of pre-built MLOps solutions.
According to a survey by New Vantage Partners, only 15% firms have deployed ML capabilities in production, while for the others the path towards tangible business benefits from their ML investments is fraught with challenges.
With Indium, operationalize ML models with streamlined processes that amalgamate DevOps & DataOps approaches. Harness the power of repeatable frameworks that automate ML lifecycle, at scale.
Our MLOps Services provide end-to-end solutions for managing and operationalizing machine learning models, ensuring seamless integration, monitoring, deployment, and optimization for efficient and scalable AI-driven applications.
MLOps Managed Services industry Use cases
Healthcare: 20% reduction in readmission rates with the help of Predictive analytics for patient risk assessment and personalized treatment recommendations.
Manufacturing: Predictive maintenance for optimizing equipment uptime and reducing maintenance costs, resulting in a 15% improvement in operational efficiency.
Retail: Demand forecasting and inventory optimization, minimizing stockouts and overstock situations, and increased revenue by 10%.
Discover how our MLOps Managed Services can optimize your machine learning operations and unlock the true value of your data-driven initiatives. Contact us today to propel your organization forward with MLOps excellence.Contact us now
Our MLOps execution approach brings in best practices from deployment to governance to management.
1. Assess and Identity 2. MLOs feasibility and share readiness report
Workshops/interviews to catalog and prioritize use cases in alignment with business objectives.
Indium devises MLOps blueprint & toolchain aligned with client's unique needs. Scope, commercials, and operating models are mutually agreed for delivery of blueprint & high-impact use cases.
Indium implements blueprints and delivers Data, ML & deployment pipelines for high impact use cases. Indium trains the client's team and transfers knowledge.
Governance calls at pre-defined frequency to identify gaps and improve efficiencies.
Indium’s MLOps Managed Services offer a compelling value proposition. With over 7 years of experience in delivering ML solutions, Indium demonstrates technical expertise. Their proven accelerators result in 3x performance improvement, while their strong focus on AWS makes them a trusted partner for AWS native data and AI services. Indium’s Agile ONE Team Model combines the power of data and AI teams with AWS capabilities. Their exhaustive MLOps knowledge base encompasses best practices from platform development and complex ML solutions, ensuring optimal results. By reducing time-to-market by up to 40% and improving model performance by 30%, Indium enables faster insights and decision-making. Additionally, their streamlined workflows and automation bring about up to 20% cost savings in ML operations.Request a Demo
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