Business Benefits of Data Science & AI/ML on AWS

What Mission Cloud data science & AI/ML services can do for your business

The practical application of data science can bring value to any business. Working with Mission Cloud ensures you have everything you need to get started and find success with data science and AI/ML in helping your organization improve processes, attract new customers, make better-informed decisions, and more.

Discover Business Insights & Trends

By using data science, companies may discover previously unknown insights, patterns, and correlations inside their data that have the potential to revolutionize their business models, operations, and resource management, all of which can have a significant influence on profitability.

Drive Innovation for New Products & Solutions

Data science may uncover issues and deficiencies that might otherwise go unnoticed. Internal and external innovation of solutions and products can be fueled by a better understanding of purchase decisions, consumer feedback, and company processes.

Smarter & Better Response to Change

It's difficult to react quickly to changing conditions, especially if you are a large organization and if done improperly it can result in considerable costs and business disruption. Data science can help you predict, anticipate, plan, and respond to changing situations in real time.

Process & Delivery of Data Science Solutions

Ensuring data science success through AWS best practices

A data science process usually stems from a business problem or opportunity. Mission Cloud begins by working with you and internal stakeholders to determine your business requirements and objectives. Our team of data scientists and analysts apply the AWS-approved OSEMN data science approach to ensure your initiatives successfully meet your expectations and drive intended business outcomes.

O: Obtain Data

Either pre-existing, newly gathered, or downloaded from an online data store, Mission Cloud extracts your data from internal or external databases, CRM software, web server logs, social media, or purchased from a third-party vendor.

S: Scrub Data

Data scrubbing, also known as data cleaning, standardizes data to a specified format. Mission Cloud data scientists apply this method in dealing with missing data, correcting data inaccuracies, and deleting any data outliers.

E: Explore Data

Next, exploratory data analysis is necessary for the planning of subsequent data model strategies. Mission Cloud applies descriptive statistics and data visualization tools to help us better understand your data at the outset. We then look for patterns that may require further investigation.

M: Model Data

ML is used to gain deeper insights, forecast results, and predict the best course of action. Our data scientists apply ML techniques like association, classification, and clustering to the training data set, and your model is tested and fine-tuned for functionality and accuracy. Mission Cloud has extensive experience working with Computer Vision, Natural Language Processing, recommendation engines, predictive analytics, and successfully getting ML models to production.

N: Interpret Results

Mission Cloud data scientists and analysts work with you to convert findings into actionable data insights. We use data visualization tools such as Amazon Quicksight to help present trends and predictions into understandable business insights through diagrams, graphs, and charts. Data summarization then helps your business understand and use the results to drive business outcomes.

O: Obtain Data

Either pre-existing, newly gathered, or downloaded from an online data store, Mission extracts your data from internal or external databases, CRM software, web server logs, social media, or purchased from a third-party vendor.

S: Scrub Data

Data scrubbing, also known as data cleaning, standardizes data to a specified format. Mission data scientists apply this method in dealing with missing data, correcting data inaccuracies, and deleting any data outliers.

E: Explore Data

Next, exploratory data analysis is necessary for the planning of subsequent data model strategies. Mission applies descriptive statistics and data visualization tools to help us better understand your data at the outset. We then look for patterns that may require further investigation.

M: Model Data

ML is used to gain deeper insights, forecast results, and predict the best course of action. Our data scientists apply ML techniques like association, classification, and clustering to the training data set, and your model is tested and fine-tuned for functionality and accuracy. Mission has extensive experience working with Computer Vision, Natural Language Processing, recommendation engines, predictive analytics, and successfully getting ML models to production.

N: Interpret Results

Mission data scientists and analysts work with you to convert findings into actionable data insights. We use data visualization tools such as Amazon Quicksight to help present trends and predictions into understandable business insights through diagrams, graphs, and charts. Data summarization then helps your business understand and use the results to drive business outcomes.

Leveraging AI/ML through AWS has never been easier

Mission Cloud can jump-start your next AI/ML project by providing you with all the experience and expertise you need to immediately start exploring and leveraging AWS data science and AI/ML solutions. As an AWS Premier Tier Services Partner with the Data and Analytics Competency, Mission Cloud offers seamless integration and deployment across a wide range of AWS data science tools.

Data Storage

Amazon Redshift: Perform complex queries against structured and unstructured data for data warehousing.

‍AWS Glue: A serverless ETL engine for semi-structured data that produces a unified catalog of data in a data lake with metadata to make it searchable.

Machine Learning

Amazon Sagemaker: A fully-managed ML service on Amazon Elastic Computer Cloud (EC2) enables users to scale operations, organize data, as well as build, train, and deploy ML models.

‍Amazon SageMaker Data Wrangler: Reduces the time to gather and prepare data for ML from weeks to minutes, and you can do everything from a single interface.

Data Analytics

Amazon Athena: An interactive query service that enables rapid analysis of data stored in Amazon S3 or Glacier. It is quick, serverless, and utilizes standard SQL queries.

‍Amazon Elastic MapReduce (EMR): A service that processes large amounts of data using servers such as Spark and Hadoop.

Amazon Kinesis: Enables real-time gathering and processing of streaming data. It makes use of website clickstreams, application logs, and IoT device telemetry data.

‍Amazon OpenSearch: Search, analyze, and visualize petabytes of data.

Amazon QuickSight: Business Intelligence (BI) tool for fast and easy data visualization and dashboards without complex integrations.

Data Storage

Amazon Redshift: Perform complex queries against structured and unstructured data for data warehousing.

AWS Glue: A serverless ETL engine for semi-structured data that produces a unified catalog of data in a data lake with metadata to make it searchable.

Machine Learning

Data Analytics

We’ll Find You the Right AI/ML-Powered Solutions for Your Business

Harness the power of AI/ML for endless possibilities

Our data science and AI/ML expertise include supervised, unsupervised, and deep learning capabilities that allow us to find and select the best algorithms and models for your next data science project. When existing options are inadequate, our multidisciplinary team of AWS-certified data scientists and cloud experts will assist you in creating and implementing newly customized solutions tailored to your specifications and business objectives.

Our extensive Data Science and AI/ML knowledge and expertise allow us to provide services and solutions around:

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 lifecycle. Democratize your data and prompt data literacy by enabling more people in your organization to extract meaningful insight from various data sources.

Cognitive Solutions

Cognitive analytics applies human-like intelligence to tasks and is used to tap into unstructured data sources. Enhance innovation and create solutions using cognitive technologies such as computer vision, natural language processing, speech recognition, text analytics, and automation.

Deep Learning

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

ModelOps

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

Necessary Data Skillsets You Need to Succeed

Expertise that’s always there when you need it

Our AWS-certified team of data scientists and experts are always on and ready to assist you with your most challenging and complex data science and AI/ML initiative. We work with you through the entire process and always look at all the best in data and AI/ML that AWS has to offer in selecting the best data and AI/ML solutions that are aligned with your business objectives and desired outcomes.

Mission Cloud collaborates closely with your business and IT teams to address a wide range of data science needs and challenges and aid you in making data-driven decisions about your company's AI/ML strategy.

Engagement Manager

Lead Scrum meetings

Project tracking and reporting

Risk and issue management

Resource management

Action tracking

Data Consultant

Define data architecture and automation

Develop a strategy for MLOps

Technical PMM

Review Code

ML Engineer

Business intelligence/visualization tools

Design and build data lakes

Data ingestion jobs

Create data pipelines

Design and build a data warehouses/marts

MLOps framework and CI/CD

Data Scientist

Predictive analytics

Natural language processing

Classification

Computer vision

Recommendation engines

Feature Engineering

Exploratory data analysis

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

AWS Data Science with Artificial Intelligence (AI) & Machine Learning (ML)

Data Science & AI/ML

Business Benefits of Data Science & AI/ML on AWS

Leveraging AI/ML through AWS has never been easier

We’ll Find You the Right AI/ML-Powered Solutions for Your Business

Necessary Data Skillsets You Need to Succeed

JibJab

Explore Resources

5 Use Cases for Machine Learning in Healthcare

Pitfalls to Avoid With Machine Learning and AWS

10 Use Cases for Machine Learning in Financial Services

Contact Mission Cloud to Learn How We Can Help You With Data Science & AI/ML on AWS