Introducing Josh Shozen as SVP of Enterprise Solution Sales for Appier Japan and South Korea

By Junde Yu, Chief Business Officer, Appier

Josh Shozen, Senior Vice President of Enterprise Solution Sales for Japan and South Korea, Appier

I’m excited to welcome Satoshi (Josh) Shozen to our team as Senior Vice President of Enterprise Solution Sales for Japan and South Korea.

Based in Tokyo, Josh brings over 15 years’ experience in enterprise software sales management and digital marketing in Japan and the region where he has worked with global technology companies including Adobe, Proscape Technologies, and Microsoft.

Before joining Appier, Josh was the country manager for SundaySky Japan, the creator of SmartVideo platform, and helped develop the strategic partner ecosystem for selling into major FSI and Automotive clients.

In his new role, Josh will lead our teams in both countries to strengthen the business of Aixon, an AI-powered Data Intelligence Platform that Appier launched last July. More than 10 clients, including Japanese real estate portal LIFULL, have already successfully deployed Aixon and transformed their digital marketing campaigns.

While we continuously upgrade technology for Aixon’s functionality to help our customers’ business success, such as the recent integration with LINE Business Connect, we also see the strong potential of our business in both the marketing and data intelligence platforms.

With Josh on board, we are looking to accelerate our business in Japan and South Korea, especially the latter, a highly mobile-dominated market where 60-70 percent of e-commerce is made through mobile devices.  

Graduated from the University of Washington, Josh started his career at Microsoft in Seattle as a solution sales specialist. He was transferred to Tokyo in 2003 to manage Microsoft’s Global Accounts segment for Japan as a Regional Business Manager. Josh later moved on to lead the Japan and APAC business as VP for Proscape Technologies before joining Adobe Japan as Director of Digital Marketing Solution Div. Enterprise Sales in 2012.

As an avid surfer, Josh enjoys a variety of watersports and outdoor activities with his family and friends in his spare time, either in Japan or at his other home on the Big Island of Hawaii.


About the author:

Junde Yu is the Chief Business Officer of Appier, a leading Artificial Intelligence (AI) company. He leads the company’s Enterprise business, which includes Aixon, an AI-based data intelligence platform. Junde joined Appier from App Annie, where he was Managing Director of Asia Pacific. He started at App Annie as its first sales rep in the region and grew the sales and marketing team in the region to achieve very extensive revenues across the Asia Pacific region. It was also here that he acquired an appreciation for how enterprises could derive tremendous value from data.

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About Appier

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.

Technical Insights: Introduction to GraphQL

 

 

 

 

 

 

 

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:

  • Fundamental parts of a GraphQL server
  • Defining API shape – GraphQL schema
  • Resolving object fields
  • Mutative APIs
  • Making requests to a GraphQL server
  • Solving N+1 query problem: dataloader

Editor’s note: Speaker notes are available with Google Slides.