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ML/AI solutions on AWS Cloud

NorthBay helps organizations understand where, when, and how best to leverage the power of AI/ML to enhance data-driven decision making, increase productivity, and solve old problems in new ways.

We work side-by-side with our customers to ensure success at every stage of the AI/ML adoption journey by:

  • Accelerating deployment and modernizing the underlying data layer
  • Removing risks associated with achieving intended outcomes…on time
  • Gaining access to more data sources and providing flexibility to future data sets
  • Providing access to and enabling more personas in stakeholder community, while increasing overall security
  • Supplementing and complementing analytics, data science, and AI/ML expertise
  • Solving today’s challenges with a budget-friendly cost model that can scale for the future

Why Choose NorthBay for AI/ML Solutions on AWS

Experience enabling a variety of AI/ML use cases in multiple industries, including:

Why NorthBay?

Financial Services

  • Customer segmentation and product recommendation optimization
  • Customer lifetime value prediction
  • Investor digital behavior analysis and investment product research and development insights

Education

  • At-risk student dropout identification and intervention
  • Learning intervention
  • Learning pattern identification

Insurance

  • Claims automation
  • Forecasting and premium pricing optimization

Why NorthBay?

Healthcare

  • IoT device data correlation and diagnosis classification
  • Research institutions rapid experimentation and model optimization
  • Staff and equipment resource forecasting and allocation

Manufacturing and Logistics

  • Equipment proactive maintenance, downtime avoidance, and OEE optimization

Retail

  • Consumer price optimization
  • Optimized product recommendations

The Power of AI/ML at Work

Injury Prevention for Athletes

Athletes at a major university will wear IoT devices, which collect and track body movements. Detailed metrics, video and other interactive tools, all connected to the cloud, will produce massive amounts of data. NorthBay will help data scientists to develop and train models that analyze and mine the data for insights that physicians and other leaders will use to predict and prevent injuries.

Expertise across AI/ML-enabling technologies

Many organizations want to immediately experiment with new models and test new ideas using their data, but are held back by the rigidity of their existing data warehouse. By leveraging NorthBay solutions such as data lake and analytics, customers can spin up an agile, scalable environment that enables experimentation and innovation with modern analytics tools.

Diagnosis Accuracy for Patients

An early-stage health tech company was using IoT sensors to collect data from patients with implanted cardiac pacemakers. The data was then transmitted to the cloud and used to diagnose health conditions such as hypertension, heart arrhythmia, atrial fibrillation, heart attacks, etc. However, the company’s existing models only delivered 50% accuracy in the analysis and classification of the data. By partnering with NorthBay to develop a new data lake that enabled them to more broadly experiment with ML and model training, they increased the accuracy of their IoT data to 95%.

Partnership across the complete AI/ML Lifecycle

NorthBay plans, builds, deploys, and even manages AWS AI/ML-based use cases for many customers. We also leverage tools such as Amazon SageMaker to automate and standardize MLOps practices, which applies DevOps practices to ML workloads in order to streamline model delivery across the machine learning development lifecycle. Because MLOps provides common machine learning algorithms that are optimized to run efficiently against extremely large data in a distributed environment, it enables use of AI/ML for true business transformation.