Sold by: QuantiphiÂ
Using NeuralOps, Data Science teams can reuse their machine learning assets across the organization, automate repetitive tasks, and simplify machine learning solution development and deployment.
Overview
NeuralOps follows the build, test, and release cycle for machine learning projects. The platforms help simplify MLOps workflow and management of ML solution lifecycle and automate different ML pipelines across experimentation and production environments.
- Prebuilt SageMaker components for popular libraries and the ability to create custom SageMaker compatible components and pipelines
- With prepackaged components, machine learning teams can get started right away.
- Grants enterprise-level visibility across different projects.
- Adherence to best practices and tools for machine learning automation
Highlights
- Automates over 90% of standard machine learning tasks Ensures reusability of existing Machine Learning assets Checks and nudges for responsible AI practices
Details
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Pricing
Custom pricing options
Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.
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Reach out to:
Jim Keller AWS Channel Global Leader, Quantiphi Email- jim.keller@quantiphi.comÂ
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