The software world is changing. Almost every program is now concurrent. And many are also distributed. But the tools we use are still rooted in the old sequential, local world.
We've tried to fix this in the past. Languages such as Erlang enable developers to write highly concurrent, highly reliable, distributed systems. But Erlang is not an easy language to approach—developers are put off by the strange syntax and terminology.
The Elixir language fixes this problem. It runs on the Erlang virtual machine, and has all the capabilities of Erlang. But its syntax is as approachable as Ruby. Developers everywhere are starting to look to Elixir to help them address the problems of tomorrow.
Come and see why why I am excited by this new language.

Page Views, Unique Visitors, Bounce Rates and Conversion Rates are old-school metrics that often lead to "so what?". Big reports with these metrics don't give us enough insight about customers. Actions you can take upon these reports are limited.
Then what are the metrics that matter? The answer is User Experience.
In this session, Mak will introduce a user-driven approach "Concept Diagram" to define metrics and reports that UX practitioners and engineers can use to measure ROI of content and functions.

We will have casual talk session with legendary programmers. Dave Thomas (pragdave) and Yukihiro Matsumoto (Matz) will come this conference. That's amazing! This session will be great chance to ask for the great role models. It's up to you! You can change the world!

The author of "Orgnisational Patterns" will show you how to use the patterns to do your own organizational assessment. He will describe how a team can use CRC cards to make a model of their organization, and then make a "picture" of the social structure, and use that picture to see the patterns in their organization. The audiences can understand what patterns they have and what ones they miss.

Rakuten Ichiba, which is a main service of Rakuten, has been constantly moving forward and expanding. Rakuten Ichiba is very unique compared to other EC sites. We are facing two main challenges in the development of Ichiba System. One is the development of a new type of service while the system was already fully functioning. The second challenge is the need for a fast development in order to meet client's requirements and consumer's needs. The meeting will focus on some of the achievements, the problems, and the future vision of Ichiba's development.

In May 2013, Rakuten launched a new Data Center with new technologies. Iwasaki will present Rakuten's new infrastructure technology in the new Data Center, and will explain what can be learned from the construction of Data Center. This session will focus on the fabric network technology of the Data Center network, and on Rakuten's new Private Cloud Infrastructure (RIaaS). If time permits, we will present additional information on the issue.

Big Data and Data Science have been about recommendation systems through natural language processing and/or collaborative filtering, as well as prediction models through machine learning. But these computer science algorithms are more about HOW to solve problems and not so much about WHAT is important and WHY. At the bottom of it, these services are important because they lead to improvements of customer experience or for the creation of Omotenashi. In behavior insight strategy team in Rakuten, we focus directly on the creation of Omotenashi and take a novel approach in order to find insights into the emotional aspects of customers, boldly (大胆に）implementing them in business. In this talk, we will describe how these insights can be applied to specific businesses, such as Rakuten Ichiba and Rakuten Mart, in some cases with unusual success.

In this session, We would like to introduce the technology that forms the basis of Rakuten Ichiba. This session's presenter has been in charge of development and operation for a long time, and understands the pressures of heavy traffic and large-scale data use at Rakuten Ichiba. If you are interested in the technology driving a large scale EC site, you should attend this session!
15:00 - 15:15 Best Practices of scale-up and non-Stop for Legacy System -Challenge of Rakuten Ichiba
15:15 - 15:30 Data Provision for use with DWH and Hadoop
15:30 - 15:45 Rakuten Category

In this session, We would like to introduce the technology that forms the basis of Rakuten Ichiba. This session's presenter has been in charge of development and operation for a long time, and understands the pressures of heavy traffic and large-scale data use at Rakuten Ichiba. If you are interested in the technology driving a large scale EC site, you should attend this session!
15:00 - 15:15 Best Practices of scale-up and non-Stop for Legacy System -Challenge of Rakuten Ichiba
15:15 - 15:30 Data Provision for use with DWH and Hadoop
15:30 - 15:45 Rakuten Category

Developing new businesses- it's always challenging even for big internet companies like Rakuten. In this talk, we will introduce our hot, newly launched business, "Kirei-℃(do)-Navi", a machine-to-machine healthcare service for women offering a combination of smartphone app and a Basal Body Temperature thermometer. Then we will share the "story behind the story" in developing the business, what and how we did in the process. After that, serial entrepreneur Tomoaki Hamano will reveal his personal secrets for starting and developing new businesses.

In May 2013, Rakuten launched a new Data Center with new technologies. Iwasaki will present Rakuten's new infrastructure technology in the new Data Center, and will explain what can be learned from the construction of Data Center. This session will focus on the fabric network technology of the Data Center network, and on Rakuten's new Private Cloud Infrastructure (RIaaS). If time permits, we will present additional information on the issue.

Viki: Viki's head of engineering will talk about how how Viki's technology and architecture evolved as we grew from idea to acquisition and the new challenges we will have to conquer as we try to scale to 100 million users.

Wuaki.tv: Building Video on Demand apps for Smart TVs is a challenge. There are no standards. It is a really young environment. DRM protected content. So how do we build a business on top of it? How to develop apps for this business and not die trying? At Wuaki.tv we have managed to do so.

Learn more about the most international team in Rakuten. We are focused on smart devices development, and we provide unique environment and opportunities for creating cutting edge solutions. Join this talk to understand how we combine the strengths of Silicon Valley with core Rakuten values to create leading user experience!

Rakuten is providing open tools to empower outside hackers and partners.

15:00-15:20 Singapore Challenge - Open APIs hackathon activity -
We open Rakuten's data to developers. Our hackathons in Japan and Singapore connect us with them. Here are the best products from these competitions.

15:20-15:40 Melonsoda - New Domain Specific Language System for Ad and Affiliate -
We created RAMP, an ad choosing app (ad offering new apps to choose?). During the development process, a new DSL, Melonsoda, was made to solve JavaScript callback problems and make codes easier to read.

Is innovation really important or is it merely hype fueled by the development department? Is it true that a company with an innovative research and development department has a good chance of success? What does the companies Apple and 3M have in common?
First part of this session will try to shed light on the questions above, and at the same time explain how having a multidisciplinary organization like RIT can positively influence Rakuten. The second part will discuss our approach to innovation, while introducing a new smartphone service concept called "Landmark" which address the gamification of local & mobile deal discovery.

"Pull the Power" - Rakuten has a huge amount of unstructured data, which has been increasing in amount day by day. RIT's Power Domain provides distributed storage and data stream processing in order to realize storing and processing most efficiently and at lowest cost. This presentation will focus on how our technology is helping Rakuten.

Since Rakuten Ichiba business is based on the e-marketplace model, organizing product data is an important subject for research scientists. This "Product Science" session introduces Rakuten's efforts to organize product photos and text descriptions as a science.

Chiba:
As the use of product photos is increasing, image processing is getting to play an important role in e-commerce. Chiba is conducting research in Computer Vision and Image Processing. He will be introducing recent activities at RIT, specifically about text detection in images. Product photos include not only editing text by an image editing tool, but also text on the product itself. Detecting such text is an active area of research called text detection in natural scenes.

Shinzato:
Structured product data (e.g, <grape, chardonnay> for the wine category) are crucial for many applications such as faceted navigation. However, since structured data are not always provided by the merchants, it is important to build technologies to create this structured data from unstructured data. I'll talk about the unsupervised methodology for generating structured data from product descriptions.

Sekine:
Rakuten is expanding to the world. RIT is working towards the direction by the technologies. I will introduce how our technologies are helping Rakuten to be global.

Since Rakuten Ichiba business is based on the e-marketplace model, organizing product data is an important subject for research scientists. This "Product Science" session introduces Rakuten's efforts to organize product photos and text descriptions as a science.

Chiba:
As the use of product photos is increasing, image processing is getting to play an important role in e-commerce. Chiba is conducting research in Computer Vision and Image Processing. He will be introducing recent activities at RIT, specifically about text detection in images. Product photos include not only editing text by an image editing tool, but also text on the product itself. Detecting such text is an active area of research called text detection in natural scenes.

Shinzato:
Structured product data (e.g, <grape, chardonnay> for the wine category) are crucial for many applications such as faceted navigation. However, since structured data are not always provided by the merchants, it is important to build technologies to create this structured data from unstructured data. I'll talk about the unsupervised methodology for generating structured data from product descriptions.

Sekine:
Rakuten is expanding to the world. RIT is working towards the direction by the technologies. I will introduce how our technologies are helping Rakuten to be global.

Rakuten financial businesses are going to replace older web systems with the latest Java EE. The technical manager of Rakuten financial development unit shares the latest service improvement project with Java EE 6 and its challenges for developing real large-scale transactional financial system. This Rakuten tech conference limited session describes the challenges for the latest active web technologies.