Go Faster with Pre-Built Machine Learning Models
Why hire teams of data scientists when you can ElectrifAi?
Now more than ever, it is easier to deploy machine learning models to reduce costs and improve business performance without having to custom-build artificial intelligence systems in-house from scratch. ElectrifAi boasts the largest library of machine learning models anywhere, which can seamlessly integrate into existing workflows to provide fast and reliable results. We like to call it our Machine Learning Model Factory.
That's why we are so excited about our recent news ElectrifAi Offers New Machine Learning Models for Amazon SageMaker announcing that ElectifAi has released one of world's the largest collection of pre-trained and pre-structured machine learning models for sale through AWS Marketplace. ElectrifAi has released 36 pre-trained machine learning models for Amazon SageMaker, which is a fully-managed machine learning service that allows developers the ability to quickly build, train and deploy machine learning models at any scale.
Amazon Web Services is the leading provider of cloud computing services in the world, which is why we are thrilled to offer our models on Amazon SageMaker, a platform specifically geared for machine learning.
Our domain expertise across various industries, including Banking, Financial Services and Insurance, Communications, Media, Entertainment, Healthcare and Retail, has been honed from 16 years of machine learning experience, which allows us to offer easy-to-deploy enterprise solutions in multiple verticals. Our customers can see insights that drive cost, profit and performance improvement in a matter of days and weeks as opposed to a year or more for custom-built solutions. Of course, there are always situations that require custom-built solutions, which we are happy to do and more than qualified to provide.
But for the moment, thanks in part to Amazon Marketplace for SageMaker, we are excited that we can readily provide pre-built models that can bring meaningful results sooner, rather than later, from our Machine Learning Model Factory, which is humming and open for business.