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SOLUTIONS

Machine Learning Operations on AWS

Bringing Your Machine Learning Projects to Life

SOlution Overview

Machine Learning Operations on AWS

Understanding the importance and value of Machine Learning Operations

As a type of artificial intelligence, machine learning (ML) allows applications to learn and adapt to new data without human intervention. This makes ML a dynamic and open-loop system where models need continuous monitoring, training, and redeployments due to ever-evolving data. As a result, bringing ML models to production is difficult and time-consuming, requiring the discipline of delivering ML models through repeatable and efficient workflows known as machine learning operations (MLOps). 

Mission releases you from the burden and high cost of recruiting and retaining in-house talent to develop and maintain an MLOps platform. Working with us and our team of data experts for your MLOps not only significantly lowers your costs, but also reduces the extensive amount of time and risks that are typically associated with doing MLOps on your own.

Benefits of Building Your MLOps with Mission

Everything you need for ML success

Our MLOps service provides you with all the capabilities and technologies required to deploy, manage, govern, and secure your ML models in production. We work with you to identify your ML infrastructure requirements and develop a solution and plan of action to meet your ML model development, operations, and compliance needs.

Boost Innovation & Growth
Faster deployment and iteration of ML models helps speed up innovation and growth. Mission’s MLOps service provides you with repeatable and scalable processes that enable you to put your models into production rapidly.
Reduce Costs & Time to ROI
Monitoring your model and infrastructure without MLOps is a fragmented and costly endeavor. Our MLOps service lets you quickly monitor and adjust your models and infrastructure to lower costs and increase profitability.
Improved Adaptability & Agility
Optimize your overall ML costs and time with automated CI/CD pipelines and workflows that eliminate the need to maintain your models manually.
Modern ML Technology & Tooling
Developing MLOps with us allows you to take advantage of the latest industry-leading ML tools and technology without taking on additional technical debt.
Secure Company Assets
Poorly managed ML puts your business infrastructure and data at risk. Benefit from a tailored MLOps solution that is aligned to your industry’s security, auditing, and regulatory compliance requirements.
Collaboration & Scalability
Empower your data science and engineering teams to cooperate on sophisticated models and pipelines that support any machine learning framework, while also managing and tracking model progression effectively with versions, annotations, and history.

Get in touch with us to help build your MLOps

A Powerful Mix of Talent & Technology

Technical resources and expertise to maintain an ongoing ML lifecycle

 Our team of expert data scientists, ML engineers, and data architects can help you make the promise of data-driven business intelligence a reality.

Mission releases you from the burden and high cost of recruiting and retaining in-house talent to develop and maintain an MLOps platform. Working with us and our team of data experts for your MLOps not only significantly lowers your costs, but also reduces the extensive amount of time and risks that are typically associated with doing MLOps on your own. 

Our AWS-certified team consists of the following roles and capabilities to optimally build and manage your successful MLOps project.

Engagement Manager
Lead Scrum meetings
Project tracking and reporting
Risk and issue management
Resource management
Action tracking
Data Consultant
Define data architecture for data pipelines and ML Ops
Develop strategy
Technical PMM
Review Code
ML Engineer
Create Visualizatoins
Move Data Science prototypes to production level readiness
Create ML pipelines
Develop ML algorithms
Data Scientist
Predictive analytics
Natural language processing
Classification
Computer vision
Recommendation engines
Dejae E.
Sr. Engagement Manager
Customer success story

JibJab

JibJab, a digital entertainment studio that enables users to browse, customize, and send personalized eCards, needed a cloud managed services partner with deep machine learning expertise to help build out a new head cropping technique for their new product, Starring You Books. Mission successfully built JibJab an ML solution capable of quickly and automatically cropping a user's face and hair from an uploaded image, which then was applied to fun and whimsical characters to be printed and delivered as a book product. Mission exceeded JibJab's expectations of building an algorithm that cropped and produced high-quality images with 90% accuracy instead of the original accuracy goal of 85%, enabling an enhanced customer experience and high-quality product.
Read Customer Success Story
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Schedule a Free Consultation with a Mission Cloud Advisor

Work with a data and analytics partner that understands AWS, your goals, and the agile processes required to bring value to your business faster.