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AWS Machine Learning & AI Consulting Services

Transform your data with AI and ML solutions tailored to your business

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Overview

Make Critical Decisions with the Help of Custom ML Models

The practical application of data science can bring value to any business. Working with Mission gives you the expert machine learning consulting you need to model the meaning of your data, understand what it’s telling you, and make decisions in a more informed way. Help your organization improve processes, attract new customers, and anticipate changes in your market.

Benefits

What AI and Machine Learning Mean For Your Business

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Drive Innovation for New Products and Solutions

Uncover issues and deficiencies that might otherwise go unnoticed. Fuel your product development cycle with a better understanding of purchase decisions, consumer feedback and activity, and company processes.

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Uncover Business Insights and Trends

With data science and predictive ML models, companies discover previously unknown insights, patterns, and correlations inside their data to improve their business models, operations, and resource management, growing their profitability.

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Smarter and Better Responses to Change

By developing models to forecast your market and business conditions, you can predict, anticipate, plan, and respond to changing situations in real time.

Features

Harness the Power of AI/ML Services for Endless Possibilities

Our data science and AI/ML expertise include supervised, unsupervised, and deep learning, and generative AI. We help you find and refine algorithms and models, and we’ll assist you in creating and implementing customized solutions tailored to your specifications and business objectives.

  • ML Models

    Develop ML models that feature classification, regression, prediction, clustering, association rules and anomaly detection using supervised, unsupervised, reinforcement, self-learning and mixed-learning algorithms.

  • Recommendation Engines

    Set up ML-driven recommender systems that evaluate historical interactions and characteristics of objects and users to generate reliable, tailored and effective recommendations.

  • Augmented Analytics

    Leverage AI and ML to automate and improve analytics at every stage of the data life cycle. Democratize your data and prompt data literacy by enabling more people in your organization to extract meaningful insights from various data sources.

  • Cognitive Solutions

    Apply human-like intelligence to tasks with cognitive analytics, and tap into unstructured data sources. Improve innovation and find solutions using cognitive technologies such as computer vision, natural language processing (NLP), speech recognition, text analytics and automation.

  • Deep Learning

    Take advantage of deep learning models, which improve over time by recognizing sophisticated patterns in images, text, audio and other data for more precise insights and better predictions. Deep learning on the cloud allows you to design, develop and train deep learning applications faster.

  • ModelOps

    Obtain the best possible outcomes for all models in production with ModelOps. ModelOps solutions automate risk management and regulatory compliance processes so that models can be checked and assessed for technical conformance, commercial value, and business and operational risk.

“It became evident from day one that Mission wasn’t just going to throw something over the fence for us to use; the team was going to ensure that we understood the rationale behind the processes and technologies put into action.”

Matt Cielecki
VP of Engineering at JibJab
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Get in touch

Learn How We Can Help With Data Science and AI/ML on AWS

Leveraging AI/ML through AWS has never been easier. Get in touch to learn how we provide you with the groundwork you need to realize all the advantages that data science and AI/ML offer.

Resources

Find In-Depth Guides, Articles, AWS Best Practices and More

Continue your cloud journey by learning from our cloud experts. We share insights and best practices on everything from app development and migrations to cost optimization and generative AI.