AI is hard. But it doesn’t have to be. Appier’s mission is to help our enterprise customers take advantage of the power of AI without the hassle. Learn how Appier uses Ai to help enterprises in this infographic!
Harvard is where our startup journey started. From idea to business, Appier experienced 8 pivots before finding success. The lesson we learnt was to fail fast but pivot faster! Follow that journey in this infographic.
From idea to business
Appier is a technology company which aims to provide artificial intelligence (AI) platforms to help enterprises solve their most challenging business problems. Appier was established in 2012 by a passionate team of computer scientists and engineers with expertise in AI, data analysis and distributed systems. Appier serves around 1,000 global brands and agencies from offices in 14 markets across Asia, including Taipei, Singapore, Kuala Lumpur, Tokyo, Osaka, Sydney, Ho Chi Minh City, Manila, Hong Kong, Mumbai, New Delhi, Jakarta, Seoul, and Bangkok. For more information please visit www.appier.com.
By Johnson Liang, Front-end Engineer, Appier
At Appier, we have been using GraphQL for around a year. GraphQL drives client-server communications for one of our main AI platforms, Aixon. We have benefitted a lot from GraphQL’s characteristics, such as the concept of “object fields” and its resolvers. Its declarative approach to whitelist all inputs and outputs makes it a great tool to build programming interfaces.
This presentation is designed to be an introduction to GraphQL and was originally delivered to other internal product teams in Appier. The talk is specifically designed for Node.JS or Python developers that have never tried GraphQL before. It provides succinct code examples in both programming languages to guide the audience through all the essential topics they should know in order to start building their own GraphQL schema and to run a GraphQL API server.
There are already quite a lot presentations on the internet explaining the high-level concepts of GraphQL. In this talk, I have put more emphasis on the actual source code required to get GraphQL running, providing a more pragmatic perspective to understanding GraphQL.
The talk covers the following topics:
Editor’s note: Speaker notes are available with Google Slides.