WebHack#21 x Indeed: Elm at large & Data Analytics
Organizing : WebHack
Free admission, food and drinks
Tech Meetup WebHack would like to express the special thanks of gratitude to Indeed Inc. who provides the wonderful venue, food and drinks!
Introduction to WebHack #21
We will bring the trending front-end language Elm and Data science, with free wifi, food and drinks!
Slides would be available online right before the meetup, so it’s not the worst idea to bring your laptop.
Talk 1: Elm at large (companies)
- First Half: Functional Programming and Elm introduction
- Second Half: Elm at large (companies), a Conference talk of Oslo Elm Day 2019
This talk includes many aspects of the Elm, the trending functional frontend programming language, from the basics to practices.
First, the speaker will briefly introduce the Elm language, including the basic idea of functional programming.
This talk is the extended version of a conference talk in Oslo Elm Day 2019.
Luca Mugnaini is an engineer at Rakuten with a recent passion for Functional Programming. Originally from Italy, now living in Tokyo for several years.
Talk 2: Gaining New Insight into Online Customer Behaviors using AI
Towards Reaching Zero Customer Dissatisfaction.
Dr. CONVOLBO has built a platform called “The Rakuten PathFinder”. This tool empowers product stakeholders such as PDMs, Managers and Test Engineers to focus on specific struggles along the users’ journeys to improve their products and measure the business impact.
Last month, he was one of the invited speakers at the IBM THINK-2019 conference in San Francisco, which has attracted lots of attention from the industry. That’s why we invited him to share this experience in this month’s talk.
- Talk 1:
- Talk 2: https://www.slideshare.net/MoiseCONVOLBO/gaining-new-insights-into-online-customer-behaviors-using-ai
Dr. Wendkuuni Moise CONVOLBO is a Research Scientist in Rakuten. He has had a long experience working with data, Cloud Computing and data analytics on Geo-distributed datacenters. He’s always been fascinated by what comes next, in terms of utilizing data from strategic data-informed business decisions perspective. His recent work consists of harnessing the potential of the customers’ journey data with machine learning towards reaching “Zero customer dissatisfaction”.
|19:35||Talk by Luca|
|20:15||Talk by Moise|
|20:55||Mingling and Networking with drinks|
- Meguro Station
- Indeed Meguro Office 10F
- Mr. Paipo (mobile: 08084951823, email: firstname.lastname@example.org)