In it's simplest form, machine learning is the search for similarities.
You simply use computers to find complex similarities in data and then use those similarities to predict on current data.
Building machine learning models in the traditional manner relies on static processes. The data is prepared by a data scientist who trains the models on one computer then deploys to a server. The result is a tremendous investment in time, money, and you end up with quickly outdated models and privacy-concerns.
The models built on the Bellwethr Platform are considered "online learners" that utilize a different form of machine learning known as reinforcement learning.
With Bellwethr, anyone can design and then deploy machine learning models without even knowing that's what is happening. This process allows private data to stay private as data is only necessary to update a model.
We believe that machine learning/AI should be available to anyone, no matter their technical background. This simplicity requires specificity and that is why we have started with specific use cases for machine learning that move the needle.
Talk with a Specialist about getting started with Bellwethr