Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Their expertise includes having a global crowd of over one million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Their reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. Founded in 1996, Appen has customers and offices globally.
Google’s mission is to organize the world‘s information and make it universally accessible and useful. Since their founding in 1998, Google has grown by leaps and bounds. From offering search in a single language Google now offer dozens of products and services—including various forms of advertising and web applications for all kinds of tasks—in scores of languages. And starting from two computer science students in a university dorm room, Google now have thousands of employees and offices around the world. A lot has changed since the first Google search engine appeared. But some things haven’t changed: Google dedication to users and belief in the possibilities of the Internet itself.
Pachyderm is an open source data science platform that combines Data Lineage with End-to-End Pipelines on Kubernetes, engineered for the enterprise. And It’s open source. Pachyderm is an enterprise-grade, open source data science platform that makes explainable, repeatable, and scalable ML/AI a reality. Their platform brings together version control for data with the tools to build scalable end-to-end ML/AI pipelines while empowering users to use any language, framework, or tool they want. What makes Pachyderm a natural choice for data science teams is that they can iterate quickly and know that everything is tracked and 100% reproducible.