Thank you so much for attending AI DATA SUMMIT.
See you all in next year!
※To make this summit more meaningful experience and satisfactorily, we request all the attendees not to take photo or record the session as well as posting on social media or publishing online blog post without the organiser's permission. We appreciate your cooperation.
Day 1
6th, June, 2017※The program may change.
What AI and Data Science bring to our future business scene? We will foresee the future thought case studies and clarify the essential points of data usage discussion.
1 year and half since Watson Japanese launch, more than 200 projects are
running in Japan.
On the other hand,due to the artificial intelligence boom which is too much
overheated, some threat theory and excessive expectation on artificial
intelligence are found in some cases.
In this session, we will explain the secrets of successful cognitive
project based on the latest use case, effective utilization method and
usefulness, and actual project experience on cognitive project using IBM
Watson.
Both AI and in particular, deep learning are being rapidly deployed by business worldwide. ALBERT conducts extensive research to provide advanced solutions and technologies, and will give a presentation including case studies from the health care, automatic driving and smart factory industries.
Along with the development of artificial intelligence and speech
recognition technology, chat bot has attracted an attention since last
year.
With the declining population in the near future we have to seeking higher
productivity than ever. In this session, we will introduce the future
possibilities to make use of artificial intelligence to make support work
more efficient and examples of companies that are working on UserLocal’s
support chat bots to actually utilize for support area.
Through this information, I will present the results of WACUL’s research on “what people feel when they are using a smartphone”.
Currently, we are attempting to construct a neural network model which predicts the situation under which the user is using the phone and the inner mental state or stress of the user. The model focuses on very high specific data set information in comparison to previously completed studies. Rough access analysis data is not the focus. For example, such features as slope, position and acceleration of the phone level of 10ms are included in the study.
Our challenge is ongoing and we are in the early stages of our research. I feel we have the opportunity to discover the essential factors interpreting human behavior while using a smartphone.
We welcome any joint project or partnerships for this project and look forward to speaking to interested parties.
機械学習や画像認識など、人工知能として注目されるテクノロジーを導入したブランド企業の担当者が登壇。ケーススタディを発表するとともに、活用により得られた発見、知見を共有します。
As the introduction of each company progresses, about the divergence between the AI image generally recognized and the actual AI image, and to fill the two. Concerning “introduction background” of introduction case, “feeling of problem before introduction”, “needs” and solutions / methods of introducing it for the business utilization of the client of the chat bot, including the consulting aspect of the design and operation of the chat bot “AI Messenger” Representative Director Ishikawa and AI’s research and development organization “AI Lab” director Kawabata will give a lecture.
★This is interactive group discussion. All of the attendees are joining for the discussion.
At this session, we will discuss which area you would like to apply AI either for your company or your clients as well as what you expect AI to achieve.
Demand for location information has grown rapidly throughout 2016, and it continues in 2017.
Over the last 10 years, Blogwatcher has been a industry leader in the field. Blogwatcher collects location data of more than 10 million MAU. The solution is not only Push-Notification and Display-Ad but also the way to see whether ad-target come to actual store.
This session Blogwatcher proudly introduce how and when to use location information with some of the real cases.
While the media are becoming exciting about artificial intelligence used at the research or entertainment, marketers are bothered how to make it possible to get practical method and put into current state of own company’s marketing.
The theme of this session is the issues and preparations should be resolved before you start marketing with using artificial intelligence.
This will be a clue as to how to think about purpose, data and human resources which will be challenge for marketing team to incorporate artificial intelligence. How to create resources to realize, training, adoption, or cooperation with someone? How to secure the quantity, quality and freshness of data? How about information security? What to make them learned? How you persuade return on investment and effects. Everything would not be covered, but we will set the path as far as possible.
Day 2
7th, June, 2017※The program may change.
Artificial Intelligence and Machine Learning are no longer science fiction; they are technologies that has already started generating valuable business output in a wide variety of industries. On the other hand there is still a significant confusion over just what AL/ML are, let alone how to be successful with them. More often than not, the key is not the technologies themselves but those who will be applying the technologies in practice and organizational roadblocks that go agains the change.
In this panel, key persons of leading AI companies will discuss the role of human in coming AI-first era, how we should share the task with AI through latest case studies and challenges of each companies.
★This is interactive group discussion. All of the attendees are joining for the discussion.
We cannot make a correct decision of how to apply AI to marketing when you are looking at AI from outside the loop. At this group discussion, we will take one step further and explain the practical framework and try to solve example challenges of applied AI in marketing so that you will get better understanding of possibilities and limitation of AI.
AI has been applied in many places where people don’t actually know it is AI. Furthermore, in AI field, early adapters have a tremendous advantage since AI gets better and better as they learn new things. At this session, we will introduce AI usage including LINE chat bot. You will be able to bring back some tips of applied AI in marketing promotion, sales promotion, customer support. This session is for you to reap a competitive advantage.
At this session, we will introduce uprising AI Startup companies. There are already some case studies in Advertising field, which we will share with you and discuss the key points how to work efficiently using startup’s technology