Rakuten TECH x Startup TECH with Rakuten Technology Conference 2018

, Madhawa Bandara, RTC

    Whilst many technology events are lined up around the world for this fall, Rakuten is proud to pioneer technology events in Asia by featuring one of the biggest conferences in the region, Rakuten Technology Conference 2018! Continuing the big success for the past decade, 12th Annual Rakuten Technology Conference will be held on 27th October 2018 at Rakuten Crimson House, Tokyo.

Message from the Chairperson of Rakuten Technology Conference 2018 Executive Committee

, Madhawa Bandara, RTC

   There is about one month for one of the biggest technology events in Asia region, Rakuten Technology Conference 2018(RTC), focusing on new technology trends like blockchain, AI, Bigdata and how the startups in these fields could benefit from the huge datasets that Rakuten owns and maintains within the Rakuten Ecosystem. The conference preparation team has been working hard to give the best possible experience for the attendees and make it the best and the biggest RTC so far and they have geared up the as we get close to the event with over a thousand of early registrations. So, if you haven’t still registered, please get registered at https://tech.rakuten.co.jp/ to save your spot for this valuable opportunity for free!

AI Shopping Assistant explained at The National Convention of "Society of Global Business"

, Masayuki Chatani, AI

    Since Rakuten AI platform has been launched in April 2017, we have launched 40+ AI Chatbot for external customers (consumers and business partners of Rakuten) as well as internal employees. But those are based on FAQ or frequently asked questions and provide answers to relatively simple questions.

Rakuten's Intellectual Property activities for future innovations

, Masayuki Chatani, AI


    Recently I have received five Certificates of Patent from Japan Patent Office as shown in the picture below.

There Is No Artificial Intelligence

, Laurent Ach, AI

All the recent amazing achievements of artificial intelligence are categorized as narrow intelligence, but there is a lot of speculation about general and super intelligence. A recent, famous and impressive example of narrow intelligence is AlphaGo (and later AlphaGo Zero) by DeepMind, which can beat the top human players of the game of Go, considered for decades as very difficult for computers to play.

Eight ways AI applications are already making conventional EC smarter – from chatbots to creative AI

, Masaya Mori, AI

    There’s no doubt that artificial intelligence (AI) will fundamentally change the world over the next few decades. What many do not realize however, is that in some fields, it has already become a large part of the status quo. One such example is e-commerce (EC).

Rakuten’s First Personalized Bot & Beyond

, Masayuki Chatani, AI

    I am happy to share the news that Rakuten had introduced our first personalized chatbot based on Rakuten AI Platform. This AI Platform was announced in April, 2017 and is DevOp-ed by AI Promotion Department at Rakuten.

Collaborative Ecosystems with Data and AI at Rakuten Institute of Technology

, Masaya Mori, AI

New Approach to Innovation – A Collaborative Ecosystem

    Data is one of the most important resources for the economy in the present age. And what’s more, AI is now bringing new value to society at a significant pace.

AI-nization at Rakuten

, Masayuki Chatani, AI

Introduction of Rakuten AI Platform

    At Rakuten, AI Promotion Department was established in August, 2016 and accelerates the commercial deployment of AI functionalities to various Rakuten services.

Machine learning applications in the e-commerce domain (4)

, MORI MASAYA, AI

(Continued from the previous chapter)

Deep learning

  In relation to deep learning, the two-layer network Word2Vec developed by Google was revolutionary. If you input text, you can obtain a vector set as the output, i.e., the feature vector of words in the text. By grouping the words and creating vectors, you can make judgments on similarity, and infer the meaning. Since it uses figures, it is scalable by processing in parallel and this is one of the great advantages of Word2Vec. It is not only applicable to the field of text analysis, but to any kind of data. At Rakuten, we have developed an extended version called Category2Vec and have released it as OSS (ref: https://github.com/rakuten-nlp/category2vec). We are training it with various kinds of EC data and are beginning to see the possibility of application on a broad scale for product/user analysis and categorization, and estimation of loss data. While Word2Vec is not deep learning itself, it is worth understanding this as a technology in numerical form that can be used in a deep neural network.