Gather documents in one place through digital assetization and create a knowledge database! We cover what you need to know for digital assetization from both an engineer's and business perspective.

We Provide Insights Into The Future Of The Finance/Insurance Industry Where Generative Ai Is Changing. From An Explanation Of The Basic Theory To Clues On How To Apply It To Your Finance/Insurance Business.

Learn basic concepts for Prompt Engineering and understand how to speak well.

Learn about the future and usage direction of Chat GPT. We talk about the data we need to better utilize and evolve Chat GPT, prompt engineering, and several moves to address Chat GPT's shortcomings.

Starting with rule-based programming, which is an early programming form, we look at the basic learning principles of artificial intelligence models for changes in learning methods such as Big Model and Zero/few shot. This course is for those who want to understand the evolutionary process of AI.

You can understand marketing trends and related martechs, in which personalized recommendations have become particularly important in recent years. We will understand the concept and rise and fall of personalization-related technologies such as 3rd/1st Party Data, retail media, and retargeting advertising, and will inform you of marketing technologies that will be revived in the future.

We talk about the different roles and influences of people in data creation and how data pipelines are structured.

It explains the limitations experienced while doing the document search task for the use of the book database, the pain points encountered in the modeling process, and the applied methodology.

MEET THE 'NEW INSIGHTS' NEEDED IN THE AI ERA THROUGH THE LATEST RESEARCH TRENDS IN HUMAN-AI INTERACTION AND THE INTRODUCTION OF OUR RESEARCH TEAM'S CASE STUDIES!

HEAR FROM INCUMBENTS ABOUT THEIR LIVE EXPERIENCES AND CHALLENGES OF 'WORKING AT A SILICON VALLEY AI STARTUP'

Yunsu Kim, who won a gold medal in Kaggle's RANZCR CLiP, a medical image classification competition, shares stories about AI model development solutions, the process of building an image model learning pipeline, and experiences gained by participating in the competition.

IN AN ONLINE-BASED LEARNING ENVIRONMENT, WE WILL INTRODUCE A CASE STUDY ON HOW TO ANALYZE THE LEARNER'S STATUS USING THE KNOWLEDGE TRACKING (KT) TECHNIQUE AND PROVIDE CUSTOMIZED RECOMMENDATIONS, AND CASES APPLIED TO ACTUAL SERVICES.

Learn about DKT (Deep Knowledge Tracing) used in educational AI, and share competitions, solutions, and intermediate courses.

BASED ON THE PRODUCT DEVELOPMENT PLAN ESTABLISHMENT PROCESS EXPERIENCED BY THE AI STARTUP'S BUSINESS DEVELOPMENT TEAM, WE PROVIDE INSIGHT INTO THE DIFFICULTIES ENCOUNTERED IN SERVICE-ORIENTED AI DEVELOPMENT.

BASED ON THE PRODUCT DEVELOPMENT PLAN ESTABLISHMENT PROCESS EXPERIENCED BY THE AI STARTUP'S BUSINESS DEVELOPMENT TEAM, WE PROVIDE INSIGHT INTO THE DIFFICULTIES ENCOUNTERED IN SERVICE-ORIENTED AI DEVELOPMENT.