Data Reply's MLOps Accelerator

ML Excellence on AWS

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Integrate our MLOps solution

Integrate our MLOps solution accelerator effortlessly into your workflow and unlock a streamlined experience. Say goodbye to complex infrastructure tasks, reduce operational costs, and deploy ML models faster. Our platform not only optimises resource usage but also focuses on driving business value: from significant cost savings and accelerated time to market to addressing major pain points like tedious infrastructure management and lengthy model deployment. Experience a solution that’s tailored for both efficiency and profitability.

Opportunity at Data Reply


As the EMEA's 2022 SI and Security Partner of the Year, Reply boasts:

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12 AWS Competencies

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14 AWS Service Validations

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7 AWS Partner Programs

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Partner for AWS's MLOps Competency

Having worked alongside premier global brands across diverse sectors, Data Reply has pioneered an MLOps Accelerator. This innovation has been endorsed by AWS MLOps Solutions Architects through the AWS MLOps partner enablement programme, solidifying our position as a trusted AI ML partner.

A look at the Benefits

MLOps Platform Efficiency

Implementation reduced from 1 year to just 3 months.

Speedy Time-to-Market

Instantiate an ML sandbox in hours instead of days and deploy ML models 70% faster.

Optimised Model Focus

Data scientists focus on improving models, leading to an 8x reduction of FTEs for producing ML models.

Quality Assurance & Monitoring

Ensure top-notch quality while monitoring for ML model drift.

Enhanced Collaboration

Better cross-team collaboration with a smooth and clear transition.

Sustainability

Targeting a 75% CO2 emissions reduction by leveraging managed services.

ML Modernisation & MLOps at Indicia Worldwide

Indicia set a goal to standardise and amplify their ML capabilities on AWS, aiming to enhance productivity, repeatability, and market response time. In response, a consulting engagement was initiated for MLOps Capability Assessment, leading to a series of actionable recommendations. As a result, ML models were constructed and rolled out via a unified CI/CD Pipeline. This streamlined approach brought about a substantial 60-70% decrease in the time required to transition from model development to production deployment.

TUI Moves Faster and Builds Better ML Models Using MLOps from Data Reply on AWS

TUI Group is a German global tourism platform company that covers the entire tourism value chain. It wanted to offer personalized experiences to travelers based on their previous choices or even when visiting the company website for the first time. It used machine learning (ML) models to help create individualized experiences but found that it took too much time to develop those models. By working with AWS Partner Data Reply, it was able to accelerate the speed of creating and deploying ML models and provide greater personalization. This delivered benefits of €7 million in the first year.

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