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 gives you access to the expert machine learning consulting 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 offers machine learning consulting that addresses your specific business needs. We begin 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.
Leveraging AI/ML through AWS has never been easier
Mission Cloud can jump-start your next AI/ML project by providing you with knowledgeable machine learning consulting that provides 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.
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.
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.
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.Contact Us
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:
Develop ML models that feature classification, regression, prediction, clustering, association rules, and anomaly detection using supervised, unsupervised, reinforcement, self-learning, and mixed-learning algorithms.
Set up ML-driven recommender systems that evaluate historical interactions and characteristics of objects and users to generate reliable, tailored, and effective recommendations.
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.
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.
Resources you may be interested in
Contact Mission Cloud to Learn How We Can Help You With Data Science & AI/ML on AWS
Mission Cloud is committed to ensuring that our work has a meaningful, long-term impact for your business and that we provide you with the groundwork you need to take charge of all the advantages that data and AI/ML offers.