Amazon Machine Learning is a machine service that allows you to easily build predictive applications, including fraud detection, demand forecasting, and click prediction. Amazon Machine Learning uses powerful algorithms that can help you create machine learning models by finding patterns in existing data, and using these patterns to make predictions from new data as it becomes available.. Amazon Machine Learning is highly scalable and can generate billions of predictions, and serve those predictions in real-time and at high throughput.

What is the difference between Artificial Intelligence, Machine Learning and Deep Learning?

Artificial Intelligence (AI)

  • Having a computer do something that we assume(d) only entities having human-like intelligence could do

Deep Learning

  • A ML technique or algorithm for learning a pattern
  • Requires huge data sets for training

Machine Learning (ML)

  • A branch of AI in which the computer learns how to perform some function
  • Classification & Prediction
  • Clustering
  • Optimization
  • Recommendation

Amazon ML/AI Services

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NorthBay has helped customers in dozens of industries leverage their data stored in AWS to test and implement numerous use cases including:

  • Fraud Detection
  • Predictive Analytics
  • Production Shortages
  • Sales Recommendations
  • Sales Pattern Recognition
  • Document Classification
  • Personalized Marketing
  • Customer Churn Predictions
  • Customer Support
  • Education/Learning Intervention
  • Student Learning Patterns
  • Equipment Maintenance Avoidance (safety, repairs, etc.)

Watch this AWS Machine Learning Overview:

NorthBay’s unique partnership with AWS has enabled us to to develop a consistent methodology of formulating an implementation methodology that has been proven to be highly successful and efficient.

NorthBay’s ML/AI Implementation Methodology

Amazon ML/AI Services

Machine learning (ML) can help you use historical data to make better business decisions. ML algorithms discover patterns in data and construct predictive models using these patterns. Then, you can use the models to make predictions on future data. For example, one possible application of ML would be to predict whether or not a customer will purchase a particular product based on past behavior, and use this prediction to send a personalized promotional email to that customer. AI has changed the way we look at businesses, here are some of the AI quotes you can take a look at to understand it’s impact on businesses.

Amazon Machine Learning
Amazon Lex
Amazon Polly
Amazon Rekognition

Benefits of AWS ML with NorthBay

Easily Create Machine Learning Models

Amazon Machine Learning APIs and wizards make it easy for any developer to create and fine-tune ML models from data stored in Amazon S3, Amazon Redshift, or MySQL databases in Amazon RDS, and query these models for predictions.

From Models to Predictions in Seconds

Amazon Machine Learning is a managed service that provides end-to-end model creation, deployment, and monitoring. Once your model is ready, you can quickly and reliably generate predictions for your applications, eliminating the time and investment needed to build, scale, and maintain machine learning infrastructure.

Scalable, High Performance Prediction Generation Service

Amazon Machine Learning prediction APIs can be used to generate billions of predictions for your applications. You can request predictions for large numbers of data records all at once using the batch prediction API, or use the real-time API to obtain predictions for individual data records, and use them within interactive web, mobile, or desktop applications.

Low Cost and Efficient

With Amazon Machine Learning there is no setup cost and you pay as you go, so you can start small and scale as your application grows.

Leverage Proven Technology

Amazon Machine Learning is based on the same proven, highly scalable, ML technology used by Amazon to perform critical functions like supply chain management, fraudulent transaction identification, and catalog organization.

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