Lupinus Co., Ltd. Lupinus Co., Ltd. Sponsorship study session for data scientists and data engineers

Lupinus Co., Ltd.
Lupinus Co., Ltd. Sponsorship study session for data scientists and data engineers

Lupinus Co., Ltd. (Headquarters: Minato-ku, Tokyo, President: Hiroki Sano, hereinafter referred to as the Company) will be held on Saturday, January 28, 2023 at the TKP Akasaka 2-chome Conference Center. We will participate in the sponsored study session DABT (Data & AI Bridge Tokyo) as a venue sponsor.
[Click here for registration and details]
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About DABT (Data & AI Bridge Tokyo)
Create learning opportunities and exchange opportunities for data scientists and data engineers who are active in various fields such as companies and academic societies, and promote mutual understanding of various specialties to raise the level of knowledge and improve motivation to learn. We aim to create a community for There are no restrictions on the level of participation, so we aim to expand the base and further pursue specialization by having a wide range of people participate, from those who are just beginning to have an interest in the industry to experts in the industry.
DABT (Data & AI Bridge Tokyo) Vol.1: “History and Prospects of AI as Seen by Engineers”
We plan to present a wide range of themes, LTs, and panel discussions by experts from across industries. During the study session, we look forward to your comments and questions on the #study session channel of the Data Learning Guild Slack.
*It is assumed that the event will not be held online, as it is premised on in-depth discussions by the participants.
*The panel discussion will be released on YouTube (Yohei Sato’s channel) at a later date.
schedule for the day
15:30-16:00 Admission begins
16:00-16:10 Opening talk
16:10-16:30 Presentation 1: Utilization of machine learning in enterprise systems (provisional)
16:30-16:50 Presentation 2. (Technical): Coordinating
16:30-17:10 Presentation 3. (Technical): Coordinating
17:10-17:20 break
17:20-17:40 LT 3 (5 minutes x 3)
17:40-18:10 Panel discussion: The history and prospects of AI from the perspective of engineers)
18:10-18:20 Sponsor session & closing remarks
18:20-19:30 Social gathering
Presenter overview
Mr. Akio Abe
Utilization of machine learning in enterprise systems (provisional) Presenter profile
Representative Director of Connect Data Co., Ltd. From venture companies to enterprise companies, we provide accompanying support in various phases such as team building, planning, research and development, design development, and operation related to data utilization. It also develops and operates the data sharing platform delika.
LT presenter profile
Mr. Ansupe
After experiencing multiple system implementation projects as an IT consultant at domestic consulting firms and startups, he is currently in charge of data-related operations in the marketing department of a certain foreign-affiliated company.
Theme: “Advantages and disadvantages of working as a data scientist at a foreign company”
Mr. KoNo
After graduating from an engineering university, entered a medical graduate school and studied rehabilitation engineering. Employed as a researcher at a hospital and engaged in the development of a rehabilitation exercise device. After that, he engaged in the development of welfare robots as an engineer. Decided to switch to data analysis personnel to make use of the enthusiasm for Python and statistics that I touched at work. In January 2010, he changed jobs to an IT company and started his career as a data analyst.
Theme: “About changing jobs from research jobs to the data industry and future career development”
Mr. Kaiji Matsumoto
Previously, he worked as a salesperson at a specialized trading company. He is interested in engineering and data science by implementing numerical management and business automation with Excel in practice. From January to April 2022, I attended an online school at the Data Learning Guild, and then moved to a human resources company in October 2022 as a data engineer. Currently working on data engineering using SQL and data visualization with tableau.
Theme: “The story of how I studied 20 hours a week and changed jobs as a data scientist, with no experience in humanities.”
Panel Discussion “History and Prospects of AI as Seen by Engineers” Speaker Introduction
Moderator: Yohei Sato
Representative Director of Village AI Co., Ltd. Director of nat Co., Ltd. Outside Director of Lupinus Co., Ltd.
Established DATUM STDUIO Co., Ltd. after working in system
development, data analysis, and machine learning at Yahoo, DeNA, and Drecom. Expanded to 100 employees and achieved M&A. His publications include “Data Scientist Training Reading Book” (Gijutsu Hyoronsha) and “Introduction to Data Science Learned from Business Use Cases” (Softbank Creative).
Speaker: Mr. gepuro
Belongs to DATAFLUCT Co., Ltd. After working at Recruit Communications and Uzabase, he assumed his current position. His specialty is data science, and he is in charge of predictive model creation, text mining, data infrastructure development, and engineering manager. In addition, he is involved in the launch of new businesses and the development of front-end and back-end. While in college, he
co-authored “Data Scientist Training Reading Book” (Gijutsu
Hyoronsha), and after that he continued to write “Feature Quantity Engineering for Machine Learning” (O’Reilly Japan) and “First Machine Learning Programming with Python” ( He continues his writing activities at Gijutsu Hyoronsha) and other publications. My hobby is triathlon.
Speaker: Mr. Takashi Minoda
For customers who have purchased Dataiku, I am in charge of the customer success area that supports implementation when actually using it for business. Before joining Dataiku, he was mainly in charge of the pharmaceutical industry as a Business Analyst at a
foreign-affiliated IT service company. Also worked as a data analyst/data scientist for an internet service company for a long time.
■Company profile
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Company name: Lupinus Co., Ltd.
Location: Round Cross Roppongi 5F, 7-14-23 Roppongi, Minato-ku, Tokyo 106-0032 Established: August 12, 2021
Representative: Hiroki Sano, Representative Director

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