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 Cloud 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 Cloud

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 Cloud’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.

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 Cloud 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 Cloud 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 Cloud 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

SOLUTIONS

Machine Learning Operations on AWS

Machine Learning Operations on AWS

Benefits of Building Your MLOps with Mission Cloud

A Powerful Mix of Talent & Technology

JibJab

Explore Resources

10 Use Cases for Machine Learning in Financial Services

4 Machine Learning Types and Why They Matter

Why Should You Move Your SaaS Platforms to AWS?

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