Overview
Elevate Your Machine Learning Lifecycle with Our MLOps Accelerator
In the rapidly evolving world of machine learning (ML), staying ahead means embracing efficiency, scalability, and collaboration. Our MLOps Accelerator Suite is designed to revolutionize your ML operations, speeding up your entire ML lifecycle and ensuring excellence at every stage. With our solution, you can benefit from and achieve:
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Accelerated Time-to-Market: Reduce the time from data collection to model deployment by automating key processes.
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Ensure Standardization and Quality: Implement best practices and quality assurance measures for consistent, reliable model performance.
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Facilitate Seamless Collaboration: Bridge the gap between data scientists, ML engineers, and operations teams for synergized model development and deployment.
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Optimized Resources and Reduced Costs: Efficiently utilize resources to minimize costs associated with training and deploying ML models.
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Adapt to Evolving Needs: Our flexible and modular architecture supports a variety of projects and use cases, ensuring long-term adaptability.
Highlights
- End-to-End MLOps Implementation: Phased approach covering all aspects of the machine learning lifecycle.
- Integrated with AWS Services: Utilizes AWS tools like SageMaker, CodePipeline, and CloudWatch for seamless integration.
- Customizable, scalable and secure solutions: Tailored to fit different MLOps maturity levels, from basic enablement to leading-edge automation, all designed for scalable, secure operations using AWS's robust cloud infrastructure.
Details
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Pricing
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Support
Vendor support
- Standard Support: Email and chat support during business hours.
- Premium Support: 24/7 support with dedicated account management.
- Training Workshops: On-demand and live training sessions covering MLOps best practices and AWS tools usage.
Initial point of contact:
Harry Miller | Solution Director Harry.Miller@uk.globallogic.com +44 (0)7532769431 https://globallogic.com/uk