The big idea here is that wrangling the myriad open-source and enterprise ML and AI platforms and solutions into production can be a challenging prospect. Per IBM’s developer blog: Developers can spend their time building, training, and deploying models or they can spend all day formatting and wrenching a pipeline together. IBM’s new machine-learning, end-to-end pipeline starter kit streamlines the entire process and gives devs everything they need to deploy solutions, including the tutorials and open-source support tools necessary. Christopher Ferris, CTO, Open Tech at IBM told Neural: Why go with this approach? Ferris says: The new toolkits are available on IBM’s developer site. And step-by-step instructions on getting started can be found at the end of this IBM blog post.
