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AI for Work

How to Redesign Your Expertise in the AI Era

A 150-minute meetup with CEO Yongho Ha, who started as a first-generation data scientist, achieved two successful exits, served on the National AI Strategy Committee, and has established his own standards at the center of change while experiencing the flow of AI closer than anyone else! Have you ever felt that the more you use AI, the more you lose sense of what your own expertise actually is? The identity of this anxiety is "Workslop," along with the technical, cognitive, and intentional debt that is accumulating without us even realizing it. This meetup starts with diagnosing the true nature of this anxiety and covers everything from verification skills and structural design to learning methods for building your own judgment criteria. We will share practical stories on how to work without being shaken.

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4.9

Rating

6

Courses

I have worked as a data scientist for a long time and have experience with two exits. I invest in or work with startups.
It is easy to remember if you think of a dragon🐲 and a tiger🐯.

- Former) Founding member of SKT Data Science Center
- Former) Founder and CEO of NumberWorks (ML company), exited to Kakao
- Former) Director at Kakao, Data Value Team Lead
- Former) CAIO at Indent Corporation, a commerce AX specialist company

- Currently serving as CDO at Dable, an ML company, which was exited to Yanolja, where I am currently working
- Currently serving as a member of the Presidential National AI Strategy Commission

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Co-instructor

This is an offline meetup limited to 50 people for an intensive experience!
(If you want to participate online 👉)

yongho_AImeetup_hero

These days, AI's productivity is a series of wonders.
However, the more we use AI, the more anxious we may feel.


"AI does everything for me... then what about my expertise?"


It is likely for the same reason that work slop, a term describing the feeling of drifting without standards amidst AI-generated outputs, is being talked about these days.


But there is always a way through change.

In this live session, we will identify the true nature of that anxiety
and share practical methods for solid growth in the AI era.


[Participating Speaker 🎤]

Knowledge Sharer Yongho Ha

He is a first-generation data scientist, an entrepreneur with two successful exits, and a member of the Presidential Strategy Council on AI.

Key Experience

  • Current) CEO of Data Oven

  • Current) Member of the Presidential Strategy Council on AI

  • Current) Dable CDO

  • Two exits, with diverse experience at various companies including Kakao and SKT


[Date and Venue 🗓️]

2026. 5. 28.(Thu) 19:00 ~ 21:30 / Inflab (Pangyo)

Talk Session (90 minutes)

This is a session to explore problem definitions and response strategies for the AI era from Hayong Ho's perspective, broken down into 7 chapters.

Q&A Session (60 minutes)

This is a time to directly hear Yongho Ha's experiences and thoughts regarding the concerns we face living in the AI era.


[Topics to share 💬]

In an era where working with numerous AI agents has become the norm,
we will diagnose the current times and discuss how to respond.


Topic 1. The Situation We Face

The new debt launched by AI

As AI takes over many tasks, a gap has been created.

Areas that were naturally understood through the process of manual creation
have become areas where only the results remain and the understanding has vanished due to AI.

The three types of debt launched by AI,
and I want to find clues on how we should live from that point.

yongho_aimeetup_debt


Topic 2. What we can put into practice


Specific practices
for collaborating with AI without cognitive load

A small number of agents can be operated by inertia, but
even with just ten, we experience cognitive load.
A new approach is required to operate multiple agents.



01.

How to verify AI outputs

The verification stage is becoming increasingly important to confirm whether AI outputs were created as intended and why they were produced this way.

In the meetup, we will introduce 2 tricks for verification and 7 rules for operating those tricks.



02.

Designing Structures for AI

There are now cases where (intermediate) results must be delivered to AI rather than humans. AI is clearly different from humans, who are capable of compression, metaphor, and contextual inference.

We will break down the system structures for effectively communicating with AI one by one.



03.

New Learning: Unlearn / Learn

In an era where it is possible to create and compare various outputs using AI, the required competencies have changed. We are entering an era where the ability to judge what is better and how to make it even better is becoming crucial.

We will share the inertia (habits) we must discard and the new skills we must acquire.


Information Before Applying 📢

  • This page is for offline meetup registration.
    If you wish to participate online, please apply on [this page].

  • A replay service for the meetup will be provided at a later date.


  • Meetup Location: Inflab Office

    • 5th Floor, Building 3, 20 Pangyoro 289-beongil, Bundang-gu, Seongnam-si, Gyeonggi-do (Pangyo Techno Valley Startup Campus)
      [View Map]



AI insights from Yongho Heo, which brought comfort and encouragement to over 2,800 people
Check them out now!

Yongho Ha's Watch Free Live Session 👉

⭐️⭐️⭐️⭐️⭐️

Being an expert and being able to teach what you know to others are two different things, but since I've met someone who is a master of both, I shall spread the word far and wide.


⭐️⭐️⭐️⭐️⭐️

It's a masterpiece lecture that I'll watch over and over again!

I was happy to hear Yongho's unique know-how regarding career direction and work attitude. I highly recommend this to anyone interested in the data field!

⭐️⭐️⭐️⭐️⭐️

I learned a lot about what kind of opportunities can be gained amidst the many changes caused by AI. The method of applying key frameworks from other industries to my own work was also impressive.

Thank you for the great lecture!!

⭐️⭐️⭐️⭐️⭐️

I entered this industry after seeing Yongho's materials, and this was a topic I've been thinking about a lot lately. I felt comforted (?) knowing that I wasn't the only one feeling career anxiety, and I gained great insights once again. I think this is content that becomes even more important to refer to as one's years of experience increase. Thank you for the great content.

5월

28일

챌린지 시작일

2026년 5월 28일 오전 10:00

챌린지 종료일

2026년 5월 28일 오후 12:30

챌린지 커리큘럼

All

1 lectures

챌린지에서 배워요

  • A perspective on redefining expertise for the AI era

  • A framework for self-diagnosing AI debt (technical, cognitive, and intentional)

  • Criteria for verifying AI outputs and the ability to design follow-up questions.

  • How to design structures (code, documents, systems) that are effectively communicated to AI

  • A New Way of Learning for the AI Era (The Importance of Judgment Criteria)

Recommended for
these people

Who is this course right for?

  • Those who use AI every day but are unsure if they are "using it well"

  • Those who have experienced their workload actually increasing while reviewing AI-generated results.

  • Office workers with N+ years of experience who have started to feel the gap between themselves and AI-native new hires

  • Anyone who has experienced cognitive overload while using multiple agents together?

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