At Source Allies, we specialize in combining the worlds of data science, cloud engineering, and test-driven development to deliver innovative machine learning solutions. Our team of "super-quant" player-coaches bring together a diverse set of skills, including data engineering, data pipelines, predictive analytics, MLOps, and cloud expertise to accelerate delivery and build products with a focus on future business insights. With a five-year track record of success in this approach, we have a proven ability to break down the typical walls between disciplines and deliver results that drive business value. Whether you need to answer tomorrow's questions without redesign or simply want to improve your AI investments, our team of mentor-coach consultants and skilled hands-on builders is here to help.
Our Approach
Partners benefit from our commitment to building these skill sets. Teammates learn from each
other and teach others. We are mentors, coaches, and
Case Studies
Our ML Engineering teams have deep expertise in the following AWS ML Services
- AWS Athena
- AWS Glue DataBrew
- AWS SageMaker
- AWS SageMaker Studio Lab
- AWS TensorFlow
- AWS IoT Analytics
- AWS IoT Core
Check Out Our Latest Blog Post On Machine Learning
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Getting Started with ML Part 3: Using AutoML
So, AI & ML are on your roadmap, but what is the simplest way to get started? Discover a set of simple entry points to using AI in this series. In this third part, we put AutoML to use and summarize where and how to get started with it.