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
- 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
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
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.
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.