# Using AI To Transform Your Business Without The Headache Using Graft

Page: https://stenobird.com/podcast/ai-engineering-podcast/using-ai-to-transform-your-business-without-the-headache-using-graft
Text version: https://stenobird.com/podcast/ai-engineering-podcast/using-ai-to-transform-your-business-without-the-headache-using-graft.md
Podcast: [AI Engineering Podcast](https://stenobird.com/podcast/ai-engineering-podcast)
Published: 2022-08-16T01:00:00+00:00
Episode link: https://www.aiengineeringpodcast.com/graft-modern-ai-platform-episode-7
Audio file: https://op3.dev/e/dts.podtrac.com/redirect.mp3/serve.podhome.fm/episode/f6ff0caa-931b-4c08-bfdd-08dc7f5cd336/63853053896449456250f4ae4d-cc64-49e1-a5b1-914313213f12v1.mp3
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JSON: https://stenobird.com/v1/public/podcasts/ai-engineering-podcast/episodes/using-ai-to-transform-your-business-without-the-headache-using-graft
Duration seconds: 4054

## Resource

Summary Machine learning is a transformative tool for the organizations that can take advantage of it. While the frameworks and platforms for building machine learning applications are becoming more powerful and broadly available, there is still a significant investment of time, money, and talent required to take full advantage of it. In order to reduce that barrier further Adam Oliner and Brian Calvert, along with their other co-founders, started Graft. In this episode Adam and Brian explain how they have built a platform designed to empower everyone in the business to take part in designing and building ML projects, while managing the end-to-end workflow required to go from data to production. Announcements Hello and welcome to the Machine Learning Podcast, the podcast about machine learning and how to bring it from idea to delivery. Predibase is a low-code ML platform without low-code limits. Built on top of our open source foundations of Ludwig and Horovod, our platform allows you to train state-of-the-art ML and deep learning models on your datasets at scale. Our platform works on text, images, tabular, audio and multi-modal data using our novel compositional model architecture. We allow users to operationalize models on top of the modern data stack, through REST and PQL – an extension of SQL that puts predictive power in the hands of data practitioners. Go to themachinelearningpodcast.com/predibase today to learn more and try it out! Building good ML models is hard, but testing them properly is even harder. At Deepchecks, they built an open-source testing framework that follows best practices, ensuring that your models behave as expected. Get started quickly using their built-in library of checks for testing and validating your model’s behavior and performance, a…

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