A complete machine learning platform that simplifies, accelerates, and secures model development through production
Today, organizations are embarking on digital initiatives to transform the customer experience and unlock new revenue streams. To operationalize these efforts, DevOps continuous workflows and cloud native patterns have been widely adopted to manage code that is being deployed at scale. But while software may be eating the world, it is the data that is defining market leadership (think Uber and taxis, Airbnb and hospitality, or Amazon and retail). How efficiently data is managed and how well it is modeled and leveraged into machine learning algorithms now determines the size of the ‘competitive moat’ a leader has in their industry.
Our mission at Arrikto is apply the same DevOps principles used for software development and infrastructure deployment toward data managed across the ML lifecycle – in effect, treating ‘Data as Code’ along every dimension: from CI/CD through versioning, lineage, packaging, differential tracking, cloning, branching, merging, collaboration, and secure access. With Arrikto, GitOps practices that were once only available to software developers and DevOps professionals are now available to any data science and MLOps team.
Going further, we envision Data As Code extending to the entire ecosystem of Kubernetes applications, surrounding a machine learning environment, and even beyond to non-machine learning related stateful applications. Data As Code presents a new way to manage data that brings to every company the invaluable benefits the DevOps movement brought to their software development lifecycle. We believe it will free Kubernetes to scale massively, and unlock its multi- and hybrid-cloud potential. We are thrilled to be leading this change.