IBM Developer Day 2019

2019.9.6.๊ธˆ์š”์ผ ์˜คํ›„ 12์‹œ 30๋ถ„
์‹ ๋…ผํ˜„์—ญ ๋ฅด ๋ฉ”๋ฅด๋””์•™ ์„œ์šธ ํ˜ธํ…”

๋ฐ”์˜์‹  ์ผ์ •๊ฐ€์šด๋ฐ 9์›” 6์ผ ๋ฅด๋ฉ”๋ฅด๋””์•™ ์„œ์šธ ํ˜ธํ…”์—์„œ ์ง„ํ–‰๋œ IBM Developer Day 2019 ์— ์ฐธ์„ํ•ด ์ฃผ์…”์„œ ์ง„์‹ฌ์œผ๋กœ ๊ฐ์‚ฌ๋“œ๋ฆฝ๋‹ˆ๋‹ค.
์ด๋ฅธ ์•„์นจ ์‹œ๊ฐ„๋ถ€ํ„ฐ ๋งˆ์ง€๋ง‰ ์„ธ์…˜๊นŒ์ง€ ๋ณด์—ฌ์ฃผ์‹ , ๋ฐฐ์›€๊ณผ ๊ณต์œ ์— ๋Œ€ํ•œ ์—ด์ •์ด ์ด๋ฒˆ Developer Day 2019 ๋ฅผ ๋”์šฑ ๋น›๋‚˜๊ฒŒ ํ•ด์ฃผ์—ˆ์Šต๋‹ˆ๋‹ค.

์ง„ํ–‰์ƒ์—์„œ ์ฃผ์…จ๋˜ ํ”ผ๋“œ๋ฐฑ์€ ์†Œ์ค‘ํ•œ ์˜๊ฒฌ์œผ๋กœ ๋ฐ˜์˜ํ•˜๊ณ  ๋ฏธํกํ–ˆ๋˜ ์ ์€ ๊ฐœ์„ ํ•˜์—ฌ ํ–ฅํ›„ ๋” ๋ฐœ์ „๋œ ์ปจํผ๋Ÿฐ์Šค๋ฅผ ์ค€๋น„ ํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.

IBM์€ ๋” ๋‹ค์–‘ํ•œ ๋ถ„์•ผ์—์„œ ๊ฐœ๋ฐœ์ž ์—ฌ๋Ÿฌ๋ถ„๋“ค๊ณผ ํ•จ๊ป˜ ํ•  ์ˆ˜ ์žˆ๋„๋ก ๋Š์ž„์—†์ด ๋…ธ๋ ฅํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.
๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค.


์•„์  ๋‹ค

  • ์•„์  ๋‹ค์™€ ๋ฐœํ‘œ์ž ์ •๋ณด๋Š” ์ง€์†์ ์œผ๋กœ ์—…๋ฐ์ดํŠธ ๋  ์˜ˆ์ •์ด๋ฉฐ, ์‚ฌ์ „ ๊ณ ์ง€์—†์ด ๋ณ€๊ฒฝ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
  • Track B๋Š” ์˜์–ด๋กœ ์ง„ํ–‰๋˜๋ฉฐ, ๋™์‹œ ํ†ต์—ญ์ด ์ œ๊ณต๋ฉ๋‹ˆ๋‹ค.
  • Track B ์ฐธ์—ฌ์ž๋ถ„๋“ค์€ ์„ธ์…˜ ๋‚ด์šฉ์˜ '์™ธ๋ถ€์œ ์ถœ๊ธˆ์ง€ ๋ฐ ์ •๋ณดํ™œ์šฉ ๋™์˜์„œ'๋ฅผ ํ˜„์žฅ์—์„œ ์ž‘์„ฑํ•ด ์ œ์ถœํ•˜๊ฒŒ ๋ฉ๋‹ˆ๋‹ค.
  • ์•„์ด์ฝ˜์ด ์žˆ๋Š” ๊ณณ์€ Interactive ์„ธ์…˜์ž…๋‹ˆ๋‹ค.
์ผ๋ถ€ ์„ธ์…˜์€ ๋ฐœํ‘œ์ž์˜ ์˜์‚ฌ์— ๋”ฐ๋ผ ๋ฐœํ‘œ์ž๋ฃŒ ๊ณต์œ ๊ฐ€ ๋ถˆ๊ฐ€ํ•œ ์ , ์–‘ํ•ด๋ถ€ํƒ๋“œ๋ฆฝ๋‹ˆ๋‹ค.
Time Title & Speaker
12:00 – 12:30 ๋“ฑ๋ก ํ™•์ธ ๋ฐ ์ž…์žฅ
Track Track A
์„ธ์ž” 3&4๋ฃธ (2์ธต)
Track B (*)
์„ธ์ž” 1&2๋ฃธ (2์ธต)
Track C
๋ชจ๋„ค 3&4๋ฃธ (4์ธต)
Track D
๋ชจ๋„ค 1&2๋ฃธ (4์ธต)
12:30 – 13:10 ํ—ฌ๋กœ ๋”ฅ๋Ÿฌ๋‹ – ์ง๊ด€์ ์ด๊ณ  ๋ช…ํ™•ํ•˜๊ฒŒ ๋”ฅ๋Ÿฌ๋‹์„ ์ดํ•ดํ•˜๊ธฐ
๋‚จ์„ธ๋™ / ใˆœ๋ณด์ด์ €์—‘์Šค
The Topography of Data Science Teams – ๋ฐ์ดํ„ฐํŒ€์—์„œ ์—ญํ• ๊ณผ ์—…๋ฌด๋Š” ์–ด๋–ป๊ฒŒ ๋‚˜๋ˆ ์•ผ ํ• ๊นŒ์š”?
Lucy Obus / IBM
Kubernetes, OpenShift ๊ทธ๋ฆฌ๊ณ  ์ƒ์šฉ ์†Œํ”„ํŠธ์›จ์–ด์˜ ๋งŒ๋‚จ: Cloud Pak
๊น€์ฒœ์ˆœ / IBM
Blockchain Diary for Citizen Scientists
์ด๋ฏผ๊ตฌ / ์„œ์šธ๋Œ€ํ•™๊ต
13:20 – 14:00 OpenGL๋กœ ํ•˜๋Š” ๋„์‹œ ๋ฐ์ดํ„ฐ ์‹œ๊ฐํ™”
๊น€์Šน๋ฒ” / VW LAB
Transforming How IBM Designs AI-driven Products – IBM์˜ AI ์ œํ’ˆ๊ตฐ ๋””์ž์ธ ์ฒ ํ•™ ์†Œ๊ฐœ
Keith Howard / IBM
๋ฏธ์šฐ๋‚˜ ๊ณ ์šฐ๋‚˜ ๋‚ด์ƒˆ๋ผ: Reusable Custom Component ๋งŒ๋“ค๊ธฐ A to Z
์ง„์œ ๋ฆผ / Zepl
Cognitive HR: ์ธ๊ณต์ง€๋Šฅ, ์กฐ์ง๋ฌธํ™”๋ฅผ ๋ณ€ํ™”์‹œํ‚ค๋‹ค
์ „๊ธฐํ›ˆ / IBM
14:10 – 14:50 ์•„๋น  ๊ฐœ๋ฐœ์ž๋ฅผ ์œ„ํ•œ, ๋งˆ์ธํฌ๋ž˜ํ”„ํŠธ ์„œ๋ฒ„ ์ฟ ๋ฒ„๋„คํ‹ฐ์Šค๋กœ ์šด์˜ํ•˜๊ธฐ
๋ฏผํ•™์ค€ / IBM
AI-driven Forecasting & Planning – ์˜ˆ์ธก ๋ฐ ๊ณ„ํš์„ ์œ„ํ•œ AI์™€ ๋จธ์‹ ๋Ÿฌ๋‹ ํ™œ์šฉ
Victoria Aboud / IBM
DevOps ๋„์ž…์ด ์™œ ํ•œ๊ตญ์—์„œ ์‹คํŒจํ•˜๋Š”๊ฐ€?
๊ณต์ง„๊ธฐ / IBM
์•„์ดํŒจ๋“œ๋กœ ์›€์ง์ด๋Š” Watson AI ๋กœ๋ด‡: ์ฝ”๋”ฉ๊ณผ ๋ฉ”์ด์ปค ๋‘ ๋งˆ๋ฆฌ ํ† ๋ผ์žก๊ธฐ!
์œค์„ฑ๊ด€ / ใˆœ์ฝ”๋”์Šคํ•˜์ด
14:50 – 15:10 Coffee Break
15:10 – 15:50 CI/CD Pipeline Automated Build-up & Workflow/Approval Management
์–‘์ง€์šฑ(Ralf Yang) / ๋ฉ”๊ฐ€์กด ํด๋ผ์šฐ๋“œ
Can We Ensure AI is Ethical? – ์œค๋ฆฌ์ ์ธ AI๋ฅผ ๋งŒ๋“ค๊ธฐ ์œ„ํ•œ ๋””์ž์ธ์”ฝํ‚น ์›Œํฌ์ƒต
Mitchell Bernstein / IBM
์•ˆ๋“œ๋กœ์ด๋“œ์™€ iOS๋ฅผ ๋™์‹œ์— ๊ฐœ๋ฐœํ•˜๋Š” Flutter
์˜ค์ค€์„ / ์„ธ๋ฏผ์ง์—…์ „๋ฌธํ•™๊ต
๊ฐœ๋ฐœ์ž ์ทจ์—…์˜ ์ˆ˜๋ฌธ์žฅ, ์ฝ”๋”ฉํ…Œ์ŠคํŠธ ์ค€๋น„ํ•˜๊ธฐ
๊น€๊ฒฝ๋ก / ํ”Œ๋ฃจํ† ์Šค๋””์—์Šค
16:00 – 16:40 Python์œผ๋กœ ๋‚˜๋งŒ์˜ ๋”ฅ๋Ÿฌ๋‹ API๋งŒ๋“ค๊ธฐ
๋งน์œคํ˜ธ / IBM
Diverse & Empowered Customers – ๋‹ค์–‘์„ฑ์œผ๋กœ ๋” ํ’์„ฑํ•ด์ง€๋Š” ์‚ฌ์šฉ์ž ์ค‘์‹ฌ ๋””์ž์ธ
Zach Nilsson / IBM
์˜คํ”ˆ์†Œ์Šค ์ปจํŠธ๋ฆฌ๋ทฐํ„ฐ๋กœ์„œ ์„ฑ์žฅํ•˜๋Š” ๊ฐœ๋ฐœ์ž: ๊ธ€๋กœ๋ฒŒ ์ปค๋ฎค๋‹ˆํ‹ฐ์—์„œ๋Š” ์–ด๋–ป๊ฒŒ ๊ฐ€๋Šฅํ• ๊นŒ?
์ตœ์˜๋ฝ / ๋งˆ์ดํฌ๋กœ์†Œํ”„ํŠธ
Migrating Your Service from Ethereum: Introducing Hyperledger Burrow
๊ฐ•ํ˜•์„ / SpeckleOS
16:50 – 17:30 ์นดํ”„์นด, ์–ด๋–ป๊ฒŒ ํ•˜๋ฉด ๋” ํšจ์œจ์ ์œผ๋กœ ์‚ฌ์šฉํ• ๊นŒ?
๊ณ ์Šน๋ฒ” / SKํ…”๋ ˆ์ฝค
Taking Your AI Journey to Production – ๋‚ด ๋จธ์‹ ๋Ÿฌ๋‹ ๋ชจ๋ธ์€ ์–ด๋–ป๊ฒŒ ๋ฐฐํฌ๋ ๊นŒ์š”?
Jessica Gore / IBM
SW ๊ฐœ๋ฐœ์ž, HW ๋„์ „๊ธฐ: IoT ๋ฑƒ์ง€ ์‚ฌ๋‚ด์ˆ˜๊ณต์—…!
ํ™์ •์„ / IBM
์ž‘๊ณ  ๋น ๋ฅธ ๋”ฅ๋Ÿฌ๋‹ ๊ทธ๋ฆฌ๊ณ  Edge Computing
์–‘์„œ์—ฐ / LG์ „์ž

12:00 – 12:30
๋“ฑ๋ก ํ™•์ธ ๋ฐ ์ž…์žฅ


Track A : ์„ธ์ž” 3&4๋ฃธ (2์ธต)
Track B (*) : ์„ธ์ž” 1&2๋ฃธ (2์ธต)
Track C : ๋ชจ๋„ค 3&4๋ฃธ (4์ธต)
Track D : ๋ชจ๋„ค 1&2๋ฃธ (4์ธต)


12:30 – 13:10


13:20 – 14:00


14:10 – 14:50


14:50 – 15:10
Coffee Break


15:10 – 15:50


16:00 – 16:40


16:50 – 17:30



๋ฐœํ‘œ์ž

ํ—ฌ๋กœ ๋”ฅ๋Ÿฌ๋‹ – ์ง๊ด€์ ์ด๊ณ  ๋ช…ํ™•ํ•˜๊ฒŒ ๋”ฅ๋Ÿฌ๋‹์„ ์ดํ•ดํ•˜๊ธฐ

๋‚จ์„ธ๋™

๋Œ€ํ‘œ
๋‚จ์„ธ๋™

The Topography of Data Science Teams – ๋ฐ์ดํ„ฐํŒ€์—์„œ ์—ญํ• ๊ณผ ์—…๋ฌด๋Š” ์–ด๋–ป๊ฒŒ ๋‚˜๋ˆ ์•ผ ํ• ๊นŒ์š”?

Lucy Obus

User Researcher, IBM Cloud Pak for Data
Lucy Obus

Kubernetes, OpenShift ๊ทธ๋ฆฌ๊ณ  ์ƒ์šฉ ์†Œํ”„ํŠธ์›จ์–ด์˜ ๋งŒ๋‚จ: Cloud Pak

๊น€์ฒœ์ˆœ

Cloud Client Technical Leader
๊น€์ฒœ์ˆœ

Blockchain Diary for Citizen Scientists

์ด๋ฏผ๊ตฌ

๊ฐ์›์กฐ๊ต์ˆ˜
์ด๋ฏผ๊ตฌ

OpenGL๋กœ ํ•˜๋Š” ๋„์‹œ ๋ฐ์ดํ„ฐ ์‹œ๊ฐํ™”

๊น€์Šน๋ฒ”

์†Œ์žฅ
๊น€์Šน๋ฒ”

Transforming How IBM Designs AI-driven Products – IBM์˜ AI ์ œํ’ˆ๊ตฐ ๋””์ž์ธ ์ฒ ํ•™ ์†Œ๊ฐœ

Keith Howard

Design Program Director – Watson IT
Keith Howard

๋ฏธ์šฐ๋‚˜ ๊ณ ์šฐ๋‚˜ ๋‚ด์ƒˆ๋ผ: Reusable Custom Component ๋งŒ๋“ค๊ธฐ A to Z

์ง„์œ ๋ฆผ


์ง„์œ ๋ฆผ

Cognitive HR: ์ธ๊ณต์ง€๋Šฅ, ์กฐ์ง๋ฌธํ™”๋ฅผ ๋ณ€ํ™”์‹œํ‚ค๋‹ค

์ „๊ธฐํ›ˆ

์‹ค์žฅ
์ „๊ธฐํ›ˆ

์•„๋น  ๊ฐœ๋ฐœ์ž๋ฅผ ์œ„ํ•œ, ๋งˆ์ธํฌ๋ž˜ํ”„ํŠธ ์„œ๋ฒ„ ์ฟ ๋ฒ„๋„คํ‹ฐ์Šค๋กœ ์šด์˜ํ•˜๊ธฐ

๋ฏผํ•™์ค€

์‹ค์žฅ
๋ฏผํ•™์ค€

AI-driven Forecasting & Planning – ์˜ˆ์ธก ๋ฐ ๊ณ„ํš์„ ์œ„ํ•œ AI์™€ ๋จธ์‹ ๋Ÿฌ๋‹ ํ™œ์šฉ

Victoria Aboud

Designer, IBM Business Analytics
Victoria Aboud

DevOps ๋„์ž…์ด ์™œ ํ•œ๊ตญ์—์„œ ์‹คํŒจํ•˜๋Š”๊ฐ€?

๊ณต์ง„๊ธฐ

IBM Developer Advocate Seoul City Leader
๊ณต์ง„๊ธฐ

์•„์ดํŒจ๋“œ๋กœ ์›€์ง์ด๋Š” Watson AI ๋กœ๋ด‡: ์ฝ”๋”ฉ๊ณผ ๋ฉ”์ด์ปค ๋‘ ๋งˆ๋ฆฌ ํ† ๋ผ์žก๊ธฐ!

์œค์„ฑ๊ด€

๋Œ€ํ‘œ
์œค์„ฑ๊ด€

CI/CD Pipeline Automated Build-up & Workflow/Approval Management

์–‘์ง€์šฑ(Ralf Yang)

DevOps Team ๋ฆฌ๋”
์–‘์ง€์šฑ(Ralf Yang)

Can We Ensure AI is Ethical? – ์œค๋ฆฌ์ ์ธ AI๋ฅผ ๋งŒ๋“ค๊ธฐ ์œ„ํ•œ ๋””์ž์ธ์”ฝํ‚น ์›Œํฌ์ƒต

Mitchell Bernstein

UX & Visual Designer
Mitchell Bernstein

์•ˆ๋“œ๋กœ์ด๋“œ์™€ iOS๋ฅผ ๋™์‹œ์— ๊ฐœ๋ฐœํ•˜๋Š” Flutter

์˜ค์ค€์„

๊ฐœ๋ฐœ์›์žฅ
์˜ค์ค€์„

๊ฐœ๋ฐœ์ž ์ทจ์—…์˜ ์ˆ˜๋ฌธ์žฅ, ์ฝ”๋”ฉํ…Œ์ŠคํŠธ ์ค€๋น„ํ•˜๊ธฐ

๊น€๊ฒฝ๋ก


๊น€๊ฒฝ๋ก

Python์œผ๋กœ ๋‚˜๋งŒ์˜ ๋”ฅ๋Ÿฌ๋‹ API๋งŒ๋“ค๊ธฐ

๋งน์œคํ˜ธ


๋งน์œคํ˜ธ

Diverse & Empowered Customers – ๋‹ค์–‘์„ฑ์œผ๋กœ ๋” ํ’์„ฑํ•ด์ง€๋Š” ์‚ฌ์šฉ์ž ์ค‘์‹ฌ ๋””์ž์ธ

Zach Nilsson

User Researcher, Watson Financial Services
Zach Nilsson

์˜คํ”ˆ์†Œ์Šค ์ปจํŠธ๋ฆฌ๋ทฐํ„ฐ๋กœ์„œ ์„ฑ์žฅํ•˜๋Š” ๊ฐœ๋ฐœ์ž: ๊ธ€๋กœ๋ฒŒ ์ปค๋ฎค๋‹ˆํ‹ฐ์—์„œ๋Š” ์–ด๋–ป๊ฒŒ ๊ฐ€๋Šฅํ• ๊นŒ?

์ตœ์˜๋ฝ

Korea Field Developer Relations
์ตœ์˜๋ฝ

Migrating Your Service from Ethereum: Introducing Hyperledger Burrow

๊ฐ•ํ˜•์„


๊ฐ•ํ˜•์„

์นดํ”„์นด, ์–ด๋–ป๊ฒŒ ํ•˜๋ฉด ๋” ํšจ์œจ์ ์œผ๋กœ ์‚ฌ์šฉํ• ๊นŒ?

๊ณ ์Šน๋ฒ”


๊ณ ์Šน๋ฒ”

Taking Your AI Journey to Production – ๋‚ด ๋จธ์‹ ๋Ÿฌ๋‹ ๋ชจ๋ธ์€ ์–ด๋–ป๊ฒŒ ๋ฐฐํฌ๋ ๊นŒ์š”?

Jessica Gore

Design Lead, Watson Machine Learning
Jessica Gore

SW ๊ฐœ๋ฐœ์ž, HW ๋„์ „๊ธฐ: IoT ๋ฑƒ์ง€ ์‚ฌ๋‚ด์ˆ˜๊ณต์—…!

ํ™์ •์„

Developer Advocate
ํ™์ •์„

์ž‘๊ณ  ๋น ๋ฅธ ๋”ฅ๋Ÿฌ๋‹ ๊ทธ๋ฆฌ๊ณ  Edge Computing

์–‘์„œ์—ฐ

๋กœ๋ด‡์‚ฌ์—…์„ผํ„ฐ ์—ฐ๊ตฌ์›
์–‘์„œ์—ฐ


ํ–‰์‚ฌ ์•ˆ๋‚ด

  • ๋ณธ ํ–‰์‚ฌ๋Š” ์‚ฌ์ „๋“ฑ๋ก์ž์— ํ•œํ•ด ์ฐธ์„์ด ๊ฐ€๋Šฅํ•˜๋ฉฐ, ํ•œ์ •๋œ ์ขŒ์„์œผ๋กœ ์ธํ•ด ๋“ฑ๋ก์ด ์กฐ๊ธฐ ๋งˆ๊ฐ ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
  • [ํŠน์ „] IBM Developer Day 2019์— ์ฐธ์„ํ•˜์‹œ๋Š” ๋ถ„๋“ค์€ ๋ฅด ๋ฉ”๋ฅด๋””์•™ ํ˜ธํ…”์—์„œ ์ง„ํ–‰๋˜๋Š” โ‰ชํŽ€ ํŒฉํ† ๋ฆฌ : ์Šˆํผ์Šคํƒ€ ์กด ๋ฒ„๊ฑฐ๋งจๅฑ•โ‰ซ*์„ ๋ฌด๋ฃŒ๋กœ ๊ด€๋žŒํ•˜์‹ค ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
    (*IBM Developer Day 2019 ํ–‰์‚ฌ ๋‹น์ผ์— ํ•œํ•ด ์ž…์žฅ ๊ฐ€๋Šฅ)

์˜ค์‹œ๋Š” ๊ธธ

๋ฅด ๋ฉ”๋ฅด๋””์•™ ์„œ์šธ ํ˜ธํ…”(Le Meridien Seoul Hotel)
์„ธ์ž”(Cezanne, 2์ธต) & ๋ชจ๋„ค(Monet, 4์ธต)

์„œ์šธํŠน๋ณ„์‹œ ๊ฐ•๋‚จ๊ตฌ ์—ญ์‚ผ๋™ ๋ด‰์€์‚ฌ๋กœ 120


๋ฌธ์˜

ํ—ฌ๋กœ ๋”ฅ๋Ÿฌ๋‹ – ์ง๊ด€์ ์ด๊ณ  ๋ช…ํ™•ํ•˜๊ฒŒ ๋”ฅ๋Ÿฌ๋‹์„ ์ดํ•ดํ•˜๊ธฐ

์ตœ๊ทผ์— ๋˜์‚ด์•„๋‚œ ์ธ๊ณต์ง€๋Šฅ ๊ธฐ์ˆ ์˜ ํ•ต์‹ฌ์€ ๋”ฅ๋Ÿฌ๋‹์ž…๋‹ˆ๋‹ค.
์ด ์‹œ๊ฐ„์„ ํ†ตํ•ด์„œ ์ „ํ†ต์ ์ธ ํ”„๋กœ๊ทธ๋ž˜๋ฐ ๋ฐฉ์‹๊ณผ ๋”ฅ๋Ÿฌ๋‹์˜ ์ฐจ์ด๋ฅผ ์ดํ•ดํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
๊ทธ ์ดํ•ด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์ธ๊ณต์ง€๋Šฅ์— ๋Œ€ํ•ด์„œ ๋” ์ž˜ ์ดํ•ดํ•˜๊ณ , ๋ฏธ๋ž˜๋ฅผ ์ƒ์ƒํ•ด ๋ณผ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

์„ธ์…˜ ๋‚œ์ด๋„: For All

๋ฐœํ‘œ ์ž๋ฃŒ


๋‚จ์„ธ๋™

๋‚จ์„ธ๋™ / ใˆœ๋ณด์ด์ €์—‘์Šค

๋Œ€ํ‘œ

์ˆ˜ํ•™, ๊ณผํ•™์„ ์ข‹์•„ํ•ฉ๋‹ˆ๋‹ค.
์„ธ์ดํด๋Ÿฝ ์ดˆ๊ธฐ์— 1์ธ ๊ฐœ๋ฐœ์ž์˜€์Šต๋‹ˆ๋‹ค.
์„ธ์ดํด๋Ÿฝ๊ณผ B612๋ฅผ ๋งŒ๋“ค์—ˆ์œผ๋ฉฐ, ๊ธฐํš๊ณผ ๋””์ž์ธ์— ๋Œ€ํ•ด์„œ๋„ ์ƒ๋‹นํ•œ ๊ฒฝํ—˜์„ ๊ฐ€์ง€๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

OpenGL๋กœ ํ•˜๋Š” ๋„์‹œ ๋ฐ์ดํ„ฐ ์‹œ๊ฐํ™”

๋ฐ์ดํ„ฐ ์‹œ๊ฐํ™”๋ฅผ ํ•˜๋‹ค ๋ณด๋ฉด ์ข…์ข… ์–‘์  ํ•œ๊ณ„๋‚˜ ๊ธฐ์ˆ ์ ์ธ ๋ฌธ์ œ์— ๋ถ€๋”ชํž™๋‹ˆ๋‹ค.
์ด๋ฒˆ ๋ฐœํ‘œ์—์„œ๋Š” ์‹œ๊ฐ์  ํ‘œํ˜„์ด๋ผ๋Š” ๋‚ด์šฉ์ ์ธ ์ธก๋ฉด๊ณผ ๊ธฐ์ˆ ์  ํ•ด๊ฒฐ๊ณผ์ •์„ ํ•จ๊ป˜ ๋‹ค๋ฃน๋‹ˆ๋‹ค.
OpenGL์„ ์‚ฌ์šฉํ•˜์—ฌ ๊ฐœ๋ณ„์  ๊ฐœ์ฒด๋“ค ํ‘œํ˜„์˜ ์ง‘ํ•ฉ์œผ๋กœ ์ „์ฒด๋ฅผ ์™„์„ฑํ•œ ์ž‘์—…๋“ค์„ ์†Œ๊ฐœํ•ฉ๋‹ˆ๋‹ค.

์„ธ์…˜ ๋‚œ์ด๋„: For All

๋ฐœํ‘œ ์ž๋ฃŒ


๊น€์Šน๋ฒ”

๊น€์Šน๋ฒ” / VW LAB

์†Œ์žฅ

์ฃผ๋กœ ๊ฑด์ถ•๊ณผ ๋„์‹œ์— ๋Œ€ํ•œ ๋ฐ์ดํ„ฐ๋ฅผ ๋ถ„์„ํ•˜๊ณ  ์‹œ๊ฐํ™”ํ•จ์œผ๋กœ์จ ๋ฐ์ดํ„ฐ๊ฐ€ ๋“œ๋Ÿฌ๋‚ด๋Š” ์ธ๊ฐ„ ํ–‰์œ„์™€ ๋„์‹œ ์ด๋ฉด์˜ ์งˆ์„œ๋ฅผ ํƒ๊ตฌํ•ฉ๋‹ˆ๋‹ค.
์ตœ๊ทผ์—๋Š” OpenGL์„ ์‚ฌ์šฉํ•˜์—ฌ ๋งŽ์€ ์ˆ˜์˜ ๊ฐœ์ฒด๋“ค์ด ๋“ฑ์žฅํ•˜๋Š” ๋™์˜์ƒ ์‹œ๊ฐํ™” ์ž‘์—…๋„ ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

์•„๋น  ๊ฐœ๋ฐœ์ž๋ฅผ ์œ„ํ•œ, ๋งˆ์ธํฌ๋ž˜ํ”„ํŠธ ์„œ๋ฒ„ ์ฟ ๋ฒ„๋„คํ‹ฐ์Šค๋กœ ์šด์˜ํ•˜๊ธฐ

๋งˆํฌ(๋งˆ์ธํฌ๋ž˜ํ”„ํŠธ)๋งค๋‹ˆ์•„์ธ ์•„์ด์—๊ฒŒ ๋‚˜๋งŒ์˜ ๋งˆํฌ์„œ๋ฒ„ ์ฃผ์ธ์žฅ ์‹œ์ผœ์ฃผ๊ธฐ!
๋งˆํฌ์„œ๋ฒ„๋ฅผ ๋ฌด๋ฃŒ๋กœ ๋ฌด๊ธฐํ•œ ์‚ฌ์šฉํ•˜๊ธฐ ์œ„ํ•ด IBM ์ฟ ๋ฒ„๋„คํ‹ฐ์Šค๋กœ ๊ตฌ์ถ•ํ•˜๊ณ  ์šด์˜ํ•˜๋ฉด์„œ ์–ป์€ ๋…ธํ•˜์šฐ๋ฅผ ๊ณต๊ฐœํ•ฉ๋‹ˆ๋‹ค.
๋งˆํฌ์„œ๋ฒ„ ์ฝ˜์†”, ํ”Œ๋Ÿฌ๊ทธ์ธ, ๋งต ์ ์šฉ ๋“ฑ์„ ์ฟ ๋ฒ„๋„คํ‹ฐ์Šค ํ™˜๊ฒฝ์—์„œ ์‚ฌ์šฉํ•˜๋Š” ๋ฐฉ๋ฒ•. ์˜คํ”ˆ์†Œ์Šคํˆด๋กœ ์‹œ์Šคํ…œ ๋ชจ๋‹ˆํ„ฐ๋ง ๋ฐฉ๋ฒ•๊นŒ์ง€!
ํ•œ ๋ฒˆ ๊ตฌ์ถ•ํ•ด๋ณด๋Š”๊ฒŒ ์•„๋‹ˆ๋ผ ์‹ค์ œ ์šด์˜ ํ•  ์ˆ˜ ์žˆ๋Š” ์‹ค์งˆ์ ์ธ ๋ฐฉ๋ฒ•๋“ค์„ ์•Œ์•„๋ด…๋‹ˆ๋‹ค.

์„ธ์…˜ ๋‚œ์ด๋„: For All

๋ฐœํ‘œ ์ž๋ฃŒ


๋ฏผํ•™์ค€

๋ฏผํ•™์ค€ / IBM

์‹ค์žฅ

IBM Watson Media & Weather ํ•œ๊ตญ ๊ฐœ๋ฐœํŒ€ ์‹œ๋‹ˆ์–ด ์†Œํ”„ํŠธ์›จ์–ด ์—”์ง€๋‹ˆ์–ด.
๋‹ค์–‘ํ•œ ์˜คํ”ˆ์†Œ์Šค์™€ ํ•จ์ˆ˜ํ˜• ํ”„๋กœ๊ทธ๋ž˜๋ฐ ๊ธฐ๋ฐ˜์˜ ๋Œ€๊ทœ๋ชจ ํด๋ผ์šฐ๋“œ ๋„ค์ดํ‹ฐ๋ธŒ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜ ๊ฐœ๋ฐœ์ด ์ฃผ ์—…๋ฌด.
์ตœ๊ทผ์—๋Š” ๋‹ค์–‘ํ•œ ๋งˆ์ดํฌ๋กœ์„œ๋น„์Šค๋ฅผ ์ฟ ๋ฒ„๋„คํ‹ฐ์Šค ํ™˜๊ฒฝ์œผ๋กœ ์ „ํ™˜ํ•˜๋Š” ํ”„๋กœ์ ํŠธ๋ฅผ ์ˆ˜ํ–‰ํ•˜์˜€์Šต๋‹ˆ๋‹ค.

CI/CD Pipeline Automated Build-up & Workflow/Approval Management

DevOps๊ฐ€ ๋ฌด์—‡์ด๋ฉฐ, ์™œ ํ•„์š”ํ•œ์ง€์— ๋Œ€ํ•ด ์„ค๋ช…ํ•˜๊ณ , CI/CD pipeline build-up ์ž๋™ํ™” ๋ฐ ๊ฐœ๋ฐœ์—…๋ฌด ๊ด€๋ฆฌ ์†”๋ฃจ์…˜ ๊ตฌ์ถ•์— ๊ด€๋ จํ•œ ์‚ฌ๋ก€๋ฅผ ์†Œ๊ฐœ ํ•ฉ๋‹ˆ๋‹ค.

์„ธ์…˜ ๋‚œ์ด๋„: Beginner

๋ฐœํ‘œ ์ž๋ฃŒ


์–‘์ง€์šฑ(Ralf Yang)

์–‘์ง€์šฑ(Ralf Yang) / ๋ฉ”๊ฐ€์กด ํด๋ผ์šฐ๋“œ

DevOps Team ๋ฆฌ๋”

Yahoo, Dell, GS SHOP, ํ˜„๋Œ€์นด๋“œ ๋“ฑ Enterprise System ํ™˜๊ฒฝ์— ๊ด€๋ จํ•œ ๊ตฌ์ถ• ๋ฐ ์šด์˜ ์—…๋ฌด ๊ฒฝ๋ ฅ์„ ๊ฐ€์ง€๊ณ  ์žˆ์œผ๋ฉฐ, DevOps Korea (http://devopskorea.com)๋ฅผ ์šด์˜ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.
ํ˜„์žฌ๋Š” ๋ฉ”๊ฐ€์กดํด๋ผ์šฐ๋“œ์˜ DevOps ํŒ€๋ฆฌ๋”๋กœ ๊ทผ๋ฌดํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

Python์œผ๋กœ ๋‚˜๋งŒ์˜ ๋”ฅ๋Ÿฌ๋‹ API๋งŒ๋“ค๊ธฐ

์—ด์‹ฌํžˆ ๋งŒ๋“  ๋”ฅ๋Ÿฌ๋‹ ๋ชจ๋ธ, ๋น„์ฆˆ๋‹ˆ์Šค์™€ ์ œํ’ˆ์œผ๋กœ ์–ด๋–ป๊ฒŒ ์—ฐ๊ฒฐ์‹œํ‚ฌ๊นŒ์š”? ๋ณธ ์„ธ์…˜์—์„œ๋Š” ๊ทธ ๋น„๋ฒ•์ธ ๋‚˜๋งŒ์˜ API๋ฅผ ๋งŒ๋“œ๋Š” ๋ฐฉ๋ฒ•์— ๋Œ€ํ•ด ๋ฐฐ์›Œ๋ด…๋‹ˆ๋‹ค.

์„ธ์…˜ ๋‚œ์ด๋„: Intermediate

๋ฐœํ‘œ ์ž๋ฃŒ ๋ฐœํ‘œ ์˜์ƒ


๋งน์œคํ˜ธ

๋งน์œคํ˜ธ / IBM

IBM์—์„œ SW์—”์ง€๋‹ˆ์–ด๋กœ, ์—ฐ์„ธ๋Œ€์—์„œ ๋ฐ•์‚ฌ๊ณผ์ • ์ค‘์ธ ์ƒ๋Ÿฌ๋˜ํŠธ.
๊ธˆ์œต๋ถ„์•ผ์˜ ๋ธ”๋ก์ฒด์ธ ๋ฐ์ดํ„ฐ ์‚ฌ์ด์–ธํ‹ฐ์ŠคํŠธ๋ฅผ ๊ฟˆ๊พธ๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

์นดํ”„์นด, ์–ด๋–ป๊ฒŒ ํ•˜๋ฉด ๋” ํšจ์œจ์ ์œผ๋กœ ์‚ฌ์šฉํ• ๊นŒ?

์นดํ”„์นด๊ฐ€ ๋ฌด์—‡์ธ์ง€ ๊ฐ„๋‹จํžˆ ์•Œ์•„๋ณด๊ณ , ์นดํ”„์นด๋ฅผ ๊ตฌ์„ฑํ•  ๋•Œ ๋ฐ˜๋“œ์‹œ ๋ณ€๊ฒฝํ•ด์•ผ ํ•˜๋Š” ์˜ต์…˜์„ ์†Œ๊ฐœํ•ฉ๋‹ˆ๋‹ค.
ํ”„๋กœ๋“€์„œ์™€ ์ปจ์Šˆ๋จธ์˜ ์˜ต์…˜๊ณผ ๋™์ž‘์— ๋Œ€ํ•ด์„œ๋„ ์„ค๋ช…ํ•ฉ๋‹ˆ๋‹ค.

์„ธ์…˜ ๋‚œ์ด๋„: Beginner, Intermediate

๋ฐœํ‘œ ์ž๋ฃŒ


๊ณ ์Šน๋ฒ”

๊ณ ์Šน๋ฒ” / SKํ…”๋ ˆ์ฝค

<์นดํ”„์นด, ๋ฐ์ดํ„ฐ ํ”Œ๋žซํผ์˜ ์ตœ๊ฐ•์ž> ์ €์ž๋กœ, ๋„ท๋งˆ๋ธ”, ์Šค๋งˆ์ผ๊ฒŒ์ดํŠธ, ์นด์นด์˜ค ๋“ฑ์˜ ํšŒ์‚ฌ๋ฅผ ๊ฑฐ์น˜๋ฉฐ ์‹œ์Šคํ…œ ์—”์ง€๋‹ˆ์–ด๋กœ ์„œ๋น„์Šค์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๊ฐ์ข… ํŠธ๋Ÿฌ๋ธ”์ŠˆํŒ…, ์ธํ”„๋ผ ์šด์˜ ๋“ฑ์„ ์ˆ˜ํ–‰ํ–ˆ๊ณ  ํ˜„์žฌ๋Š” SKํ…”๋ ˆ์ฝค์—์„œ ์นดํ”„์นด ์šด์˜์—…๋ฌด๋ฅผ ๋‹ด๋‹นํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.
์นด์นด์˜ค ๊ฐœ๋ฐœ์ž ์ปจํผ๋Ÿฐ์Šค, SK, NHN, ๋„ค์ด๋ฒ„ ๋“ฑ์—์„œ ์นดํ”„์นด์™€ ๊ด€๋ จ๋œ ๋ฐœํ‘œ๋ฅผ ๋‹ค์ˆ˜ ํ–ˆ์œผ๋ฉฐ, ํŽ˜์ด์Šค๋ถ '์นดํ”„์นด ํ•œ๊ตญ ์‚ฌ์šฉ์ž ๊ทธ๋ฃน' ์ปค๋ฎค๋‹ˆํ‹ฐ(https://facebook.com/groups/kafka.kru/)์˜ ๋Œ€ํ‘œ ์šด์˜์ž์ž…๋‹ˆ๋‹ค.

The Topography of Data Science Teams – ๋ฐ์ดํ„ฐํŒ€์—์„œ ์—ญํ• ๊ณผ ์—…๋ฌด๋Š” ์–ด๋–ป๊ฒŒ ๋‚˜๋ˆ ์•ผ ํ• ๊นŒ์š”?

Organizations are assembling data science teams at record numbers. The novelty of the data science field means that multiple job functions are often performed by one team member. The aim of this exercise is to illustrate the workload of each role in the data science team. Each role will receive a color lego brinks and we will stack the number of tasks they perform.
The end result will be a 3 dimensional construct, a topography, that looks at the overall distribution of responsibilities.
๋ณธ ์„ธ์…˜์— ์ฐธ์—ฌํ•˜์‹œ๋Š” ๋ถ„๋“ค์€ ํฌ์ŠคํŠธ์ž‡๊ณผ ๋ ˆ๊ณ ๋ฅผ ํ™œ์šฉํ•œ ๋””์ž์ธ์‹ฑํ‚น ๊ณผ์ •์„ ํ†ตํ•ด ๊ฐœ์ธ์˜ ์—ญํ• ์„ ํ‰๊ฐ€ํ•ด๋ณด๊ณ  ๋ณด๋‹ค ํšจ๊ณผ์ ์ธ ๋ฐ์ดํ„ฐ ์‚ฌ์ด์–ธ์ŠคํŒ€์„ ๋งŒ๋“ค๊ธฐ ์œ„ํ•œ ์•„์ด๋””์–ด๋ฅผ ์–ป์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
์ด ์„ธ์…˜์€ ๋ฐ์ดํ„ฐํŒ€ ์ผ์›์œผ๋กœ์„œ ์Šค์Šค๋กœ์˜ ์—ญํ•  ๋˜๋Š” ํŒ€์˜ ์—ญํ• ์„ ํ‰๊ฐ€ํ•ด๋ณด๊ณ  ์‹ถ์€ ๋ถ„๋“ค์—๊ฒŒ ์ถ”์ฒœ๋“œ๋ฆฝ๋‹ˆ๋‹ค.
ํ•œ๊ตญ์–ด(์˜์–ด)๋กœ ๋งํ•˜๊ณ  ์“ฐ๋Š” ํ™œ๋™์ด ํฌํ•จ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค.

์„ธ์…˜ ์ข…๋ฅ˜: Hands-on interactive

์„ธ์…˜ ๋‚œ์ด๋„: For All


Lucy Obus

Lucy Obus / IBM

User Researcher, IBM Cloud Pak for Data

Lucy Obus is a user researcher on IBM's Hybrid Cloud portfolio, working primarily with Cloud Pak for Data. Prior to IBM, she spearheaded research initiatives at diverse organizations ranging from Lincoln Center for the Performing Arts to the Department of Homeland Security. As a researcher, Lucy ensures product design and development processes are driven by the needs of the user. Outside of work, Lucy is passionate about civic engagement, performing arts, and outdoor education. Originally from New York, she now resides in California. Lucy is committed to working with IBM customers (current and future), designing products that improve their lives.

Transforming How IBM Designs AI-driven Products – IBM์˜ AI ์ œํ’ˆ๊ตฐ ๋””์ž์ธ ์ฒ ํ•™ ์†Œ๊ฐœ

Traditionally, IBM has made the question of โ€œwhat is technologically possibleโ€ and pushing that boundary a key tenet of the products they develop and release. While an important consideration, there is more to a successful product design than just the latest technology. Using user-centered design methodologies, design can gain deep understanding of users and their needs. With these insights, we can reframe the question from โ€œwhat is technologically possibleโ€ to โ€œhow can A.I. help?โ€ Keith Howard has used these methods to transform several Watson products in recent years. Heโ€™ll share his experiences in finding a happy marriage between โ€œwhat is possibleโ€ and โ€œwhat is desirableโ€.
๋ณธ ์„ธ์…˜์— ์ฐธ์—ฌํ•˜์‹œ๋Š” ๋ถ„๋“ค์€ ์‚ฌ์šฉ์ž ์ค‘์‹ฌ์˜ ๋””์ž์ธ ์ฒ ํ•™์„ ํ†ตํ•ด ๋ณ€ํ™”ํ•˜๋Š” IBM์˜ AI ์ œํ’ˆ๊ตฐ์— ๊ด€ํ•œ ์ด์•ผ๊ธฐ๋ฅผ ๋“ค์œผ์‹ค ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

์„ธ์…˜ ์ข…๋ฅ˜: IBM Design-led breakout & interactive

์„ธ์…˜ ๋‚œ์ด๋„: For All


Keith Howard

Keith Howard / IBM

Design Program Director – Watson IT

Keith has designed and built web-based products for many years for companies like Google, eBay and Dell. For the last three years, he has been focused on designing A.I. products for IBM and Watson. Keithโ€™s deep background in user experience design and research makes him a tireless advocate for his users. His goals are to understand his users and their challenges so that he can deliver products that help and delight them.

AI-driven Forecasting & Planning – ์˜ˆ์ธก ๋ฐ ๊ณ„ํš์„ ์œ„ํ•œ AI์™€ ๋จธ์‹ ๋Ÿฌ๋‹ ํ™œ์šฉ

Imagine your planning process enhanced by artificial-intelligence, automation, and machine learning; what might it look like? Are you already using intelligent systems and tools to support and improve your plans, budgets and forecasts?
At this session, we will share a few concepts that aim to augment your planning & forecasting process. Weโ€™d like to hear from you about your real-world needs and use cases. Join this interactive session to share your feedback and ideas!
๋ณธ ์„ธ์…˜์— ์ฐธ์—ฌํ•˜์‹œ๋Š” ๋ถ„๋“ค์€ ์˜ˆ์ธก๊ณผ ๊ณ„ํš์„ ๊ฐ•ํ™”์‹œํ‚ค๊ธฐ ์œ„ํ•œ AI ์™€ ๋จธ์‹ ๋Ÿฌ๋‹ ํ™œ์šฉ์— ๋Œ€ํ•œ ์ด์•ผ๊ธฐ๋ฅผ ๋“ค์œผ์‹ค ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
ํ•œ๊ตญ์–ด(์˜์–ด)๋กœ ๋งํ•˜๊ณ  ์“ฐ๋Š” ํ™œ๋™์ด ํฌํ•จ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค.

์„ธ์…˜ ์ข…๋ฅ˜: Design thinking interactive

์„ธ์…˜ ๋‚œ์ด๋„: For All


Victoria Aboud

Victoria Aboud / IBM

Designer, IBM Business Analytics

Victoria is a UX Designer for IBM Business Analytics. She has a background in Interaction Design and Service Design. She has worked on various offerings at IBM including: Cognos Analytics, Planning Analytics and Cognos Controller. Previously she worked with design consultancies in Milan, Italy and Madrid, Spain. She spends her free time swimming, reading and learning new languages.

Can We Ensure AI is Ethical? – ์œค๋ฆฌ์ ์ธ AI๋ฅผ ๋งŒ๋“ค๊ธฐ ์œ„ํ•œ ๋””์ž์ธ์”ฝํ‚น ์›Œํฌ์ƒต

Now that the world is competent in creating artificial intelligence, how many companies are thinking about the ethical boundaries these technologies are pushing? What are the effects of unethical AI? How many are asking โ€˜whyโ€™? Participants will learn what IBM is doing to ensure that our customers are building ethical standards right into their AI and ml models. Weโ€™ll also break out into a design thinking session to learn what participants would like to see when considering ethical guidance of their creations and where ethics falls into their data science journey.
๋ณธ ์„ธ์…˜์— ์ฐธ์—ฌํ•˜์‹œ๋Š” ๋ถ„๋“ค์€ ํฌ์ŠคํŠธ์ž‡๊ณผ ํˆฌํ‘œ๋ฅผ ํ™œ์šฉํ•œ ๋””์ž์ธ์‹ฑํ‚น ๊ณผ์ •์„ ํ†ตํ•ด ์œค๋ฆฌ์  ๊ธฐ์ค€์„ AI์— ์ง์ ‘ ์ ์šฉํ•ด ๋ณด๊ณ , ์œค๋ฆฌ๋ฅผ ๋ฐ์ดํ„ฐ ์‚ฌ์ด์–ธ์Šค์— ์–ด๋–ป๊ฒŒ ์ ์šฉํ•  ์ˆ˜ ์žˆ๋Š”์ง€ ์•Œ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
ํ•œ๊ตญ์–ด(์˜์–ด)๋กœ ๋งํ•˜๊ณ  ์“ฐ๋Š” ํ™œ๋™์ด ํฌํ•จ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค.

์„ธ์…˜ ์ข…๋ฅ˜: Hands-on interactive

์„ธ์…˜ ๋‚œ์ด๋„: For All


Mitchell Bernstein

Mitchell Bernstein / IBM

UX & Visual Designer

Mitchell Bernstein is a product designer for IBMโ€™s Watson Studio and Cloud Pak for Data where heโ€™s reshaping the fundamentals of how people build machines that think autonomously. Additionally, Mitchell is leading the charge on a design framework meant to ensure the ethical design of artificial intelligence software.

Diverse & Empowered Customers – ๋‹ค์–‘์„ฑ์œผ๋กœ ๋” ํ’์„ฑํ•ด์ง€๋Š” ์‚ฌ์šฉ์ž ์ค‘์‹ฌ ๋””์ž์ธ

Interpersonal design exercises help product teams reveal the needs of their users, validate assumptions, and prioritize areas of work on the roadmap, however active participation is critical for us to reach meaningful outcomes. Learn how diverse and empowered groups of users can become designers in an immersive experience demonstrating the value of IBMโ€™s user-centered design process and how the outcomes influence product strategy.
๋ณธ ์„ธ์…˜์— ์ฐธ์„ํ•˜์‹œ๋Š” ๋ถ„๋“ค์€ ํฌ์ŠคํŠธ์ž‡์„ ์‚ฌ์šฉํ•˜์—ฌ Interpersonal design exercise๋ฅผ ์ˆ˜ํ–‰ํ•ฉ๋‹ˆ๋‹ค. ์ œํ’ˆ ํŒ€์€ ์‚ฌ์šฉ์ž์˜ ๋‹ˆ์ฆˆ๋ฅผ ์ฐพ์•„๋‚ด๊ณ , ๊ฐ€์ •์„ ๊ฒ€์ฆํ•˜๊ณ , ์ž‘์—…์˜ ์šฐ์„ ์ˆœ์œ„๋ฅผ ์ฐพ์•„๋‚ผ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๋‹ค์–‘ํ•œ ์‚ฌ์šฉ์ž ๊ทธ๋ฃน์ด IBM์˜ ์‚ฌ์šฉ์ž ์ค‘์‹ฌ ๋””์ž์ธ์„ ์–ผ๋งˆ๋‚˜ ๋” ํ’๋ถ€ํ•˜๊ฒŒ ํ•˜๊ณ , ์ œํ’ˆ ์ „๋žต์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š”์ง€ ์•Œ์•„๋ณด์„ธ์š”.
ํ•œ๊ตญ์–ด(์˜์–ด)๋กœ ๋งํ•˜๊ณ  ์“ฐ๋Š” ํ™œ๋™์ด ํฌํ•จ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค.

์„ธ์…˜ ๋‚œ์ด๋„: For All


Zach Nilsson

Zach Nilsson / IBM

User Researcher, Watson Financial Services

Zach is a researcher, motivator, and design thinker with Watson Financial Services at IBM in Raleigh, North Carolina. He has a multi-disciplinary background in user research, facilitation, and design strategy. Zach believes that Design must begin and end with the inclusion of the people we are designing for, because truly understanding a userโ€™s world will enable teams to identify needs faster, uncover new opportunities, and empower communities through the solutions they create.

Taking Your AI Journey to Production – ๋‚ด ๋จธ์‹ ๋Ÿฌ๋‹ ๋ชจ๋ธ์€ ์–ด๋–ป๊ฒŒ ๋ฐฐํฌ๋ ๊นŒ์š”?

Participants will learn how they can use Watson Machine Learning to deploy their analytic models to production via a prepared stop-motion video. Then they will use physical objects (gems, Legos, and rockets โ€” or felt TBD) to share their current model deployment workflow, including the roles involved and pain points faced along the way, or the blockers that prevent them from deploying today. Participants get a video of their playback that they can then take back to their teams.
๋ณธ ์„ธ์…˜์— ์ฐธ์—ฌํ•˜์‹œ๋Š” ๋ถ„๋“ค์€ ๋ ˆ๊ณ ์™€ ๋ชจํ˜•์œผ๋กœ ํ˜„์žฌ ๋ชจ๋ธ ๋ฐฐํฌ ์›Œํฌํ”Œ๋กœ์šฐ๋ฅผ ์„ค๋ช…ํ•˜๊ณ  ๊ณต์œ ํ•ฉ๋‹ˆ๋‹ค. ๋˜ํ•œ ์–ด๋–ค ์œ„ํ—˜ ์š”์†Œ์™€ ์žฅ์• ๋ฌผ์ด ์žˆ๋Š”์ง€ ํŒŒ์•…ํ•˜๊ณ , ์›Œํฌ์ˆ ์ง„ํ–‰ ๋‚ด์šฉ์„ ๋น„๋””์˜ค๋กœ ๋‹ด์•„ ์„ธ์…˜ ๋‚ด์šฉ์„ ๊ฐ์ž ํŒ€์— ๊ณต์œ ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
ํ•œ๊ตญ์–ด(์˜์–ด)๋กœ ๋งํ•˜๊ณ  ์“ฐ๋Š” ํ™œ๋™์ด ํฌํ•จ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค.

์„ธ์…˜ ์ข…๋ฅ˜: Hands-on interactive

์„ธ์…˜ ๋‚œ์ด๋„: For All


Jessica Gore

Jessica Gore / IBM

Design Lead, Watson Machine Learning

Jessica is the Design Lead for Watson Machine Learning at IBM in San Francisco, California. She has experience in front end development, user experience and visual design. Jessica lives in Alameda, California, a walkable island city in the San Francisco Bay, with her husband and her cat, Merle. She loves to read, hike, bike, take photographs and knit.

Kubernetes, OpenShift ๊ทธ๋ฆฌ๊ณ  ์ƒ์šฉ ์†Œํ”„ํŠธ์›จ์–ด์˜ ๋งŒ๋‚จ: Cloud Pak

IBM์ด Red Hat ์ธ์ˆ˜ ํ›„ ์ถœ์‹œํ•œ OpenShift Container Platform ๊ธฐ๋ฐ˜์˜ ์ƒ์šฉ SW ์†”๋ฃจ์…˜์ธ Cloud Pak์— ๋Œ€ํ•ด ์†Œ๊ฐœ ๋“œ๋ฆฝ๋‹ˆ๋‹ค. ๊ธฐ์—…์˜ ์ฃผ์š” ์‹œ์Šคํ…œ ์œ ์Šค์ผ€์ด์Šค๋ฅผ ์ง€์›ํ•  ์ˆ˜ ์žˆ๋Š” Application, Data, Integration, Automation, Multicloud Management๋ฅผ ์ง€์›ํ•˜๋Š” ๋‹ค์„ฏ ๊ฐ€์ง€์˜ Pak์ด ์žˆ์Šต๋‹ˆ๋‹ค.

์„ธ์…˜ ๋‚œ์ด๋„: For All

๋ฐœํ‘œ ์ž๋ฃŒ


๊น€์ฒœ์ˆœ

๊น€์ฒœ์ˆœ / IBM

Cloud Client Technical Leader

๋‹ด๋‹นํ•˜๋Š” ๊ณ ๊ฐ๊ป˜ ๋ฏฟ์„๋งŒํ•œ ๊ธฐ์ˆ  ์ž๋ฌธ(Trusted Technical Advisor)์„ ์ œ๊ณตํ•  ์ฑ…์ž„์„ ๋งก์€ ์•„ํ‚คํ…ํŠธ ์ž…๋‹ˆ๋‹ค. ์„ ๋„์ ์ธ ํ†ต์‹  ์‚ฐ์—… ๊ณ ๊ฐ์„ ์œ„์ฃผ๋กœ ๋‹ด๋‹นํ•˜๋‹ค๋ณด๋‹ˆ, ์ž์—ฐ์Šค๋Ÿฝ๊ฒŒ ๋‹ค์–‘ํ•œ Cloud ๊ธฐ์ˆ ๋“ค๋„ ํ•œ ๋ฐœ ์•ž์„œ ๋ณด๊ฒŒ ๋˜์—ˆ๊ณ  ์•ž์— Cloud๋ผ๋Š” ํƒ€์ดํ‹€์ด ํ•˜๋‚˜ ๋” ๋ถ™๊ฒŒ ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. Cloud CTL ์ด๋ผ ๋ถˆ๋ฆฌ๋ฉฐ Cloud ์ ์šฉ์— ๊ด€์‹ฌ์ด ์žˆ์œผ์‹  ๊ณ ๊ฐ๋“ค์„ ๋งŒ๋‚˜๋Ÿฌ ๋‹ค๋‹ˆ๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

๋ฏธ์šฐ๋‚˜ ๊ณ ์šฐ๋‚˜ ๋‚ด์ƒˆ๋ผ: Reusable Custom Component ๋งŒ๋“ค๊ธฐ A to Z

์—ฌ๋Ÿฌ๋ถ„์€ ์–ด๋””๋“  ์‰ฝ๊ฒŒ ๋ผ์šธ ์ˆ˜ ์žˆ๋Š” ๋ธ”๋ก์„ ๋งŒ๋“ค์–ด์•ผ ํ•ฉ๋‹ˆ๋‹ค. ํ•˜์ง€๋งŒ ๊ทธ ๋ธ”๋ก์€ ์กฐ๊ธˆ์˜ ๋…ธ๋ ฅ์œผ๋กœ ๋งŽ์€ ์ผ์„ ํ•  ์ˆ˜ ์žˆ์–ด์•ผ ํ•˜๊ณ  / ์‰ฝ๊ฒŒ ๊ฐœ์กฐํ•  ์ˆ˜ ์žˆ์–ด์•ผ ํ•˜๊ณ  / ๋‹ค๋ฅธ ๋ธ”๋ก๊ณผ ๊ฐ™์€ ๊ทœ์น™์„ ๋”ฐ๋ผ์•ผ ํ•˜๋ฉฐ / ๋ฌด์—‡๋ณด๋‹ค๋„ ์“ฐ๊ธฐ ํŽธํ•˜๊ณ  ์˜ˆ๋ป์•ผ ํ•ฉ๋‹ˆ๋‹ค. ์ด๋Š” ๋ณดํ†ต์˜ ํ”„๋ŸฐํŠธ์—”๋“œ ๊ฐœ๋ฐœ์ž๊ฐ€ ์žฌ์‚ฌ์šฉ ๊ฐ€๋Šฅํ•œ ์ปดํฌ๋„ŒํŠธ๋ฅผ ๋งŒ๋“ค ๋•Œ ํ•˜๋Š” ๊ณ ๋ฏผ์ž…๋‹ˆ๋‹ค. ๋ณธ ๋ฐœํ‘œ์—์„œ๋Š” ๋ฐ์ดํ„ฐ ์‚ฌ์ด์–ธ์Šค ๋…ธํŠธ๋ถ ํ”Œ๋žซํผ Zepl์˜ UI๋ฅผ ์ „๋ฉด ๊ฐœํŽธํ•˜๋ฉฐ ๋งŒ๋“ค์—ˆ๋˜ ์ปค์Šคํ…€ ์ปดํฌ๋„ŒํŠธ์˜ ๋””์ž์ธ๋ถ€ํ„ฐ ๊ตฌ์กฐ ์„ค๊ณ„, ๋ฆฌํŒฉํ† ๋ง์— ๊ด€ํ•ด ์ด์•ผ๊ธฐ๋ฅผ ํ•ฉ๋‹ˆ๋‹ค.

์„ธ์…˜ ๋‚œ์ด๋„: For All

๋ฐœํ‘œ ์ž๋ฃŒ


์ง„์œ ๋ฆผ

์ง„์œ ๋ฆผ / Zepl

UI/UX oriented front-end engineer ์ž…๋‹ˆ๋‹ค. ๋ฐ์ดํ„ฐ ์‚ฌ์ด์–ธ์Šค ๋…ธํŠธ๋ถ ํ”Œ๋žซํผ Zepl ์„ ๋งŒ๋“ค๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

DevOps ๋„์ž…์ด ์™œ ํ•œ๊ตญ์—์„œ ์‹คํŒจํ•˜๋Š”๊ฐ€?

ํด๋ผ์šฐ๋“œ ์œ„์—์„œ ๋งˆ์ดํฌ๋กœ์„œ๋น„์Šค ์•„ํ‚คํ…์ณ๋ฅผ ์šด์˜ํ•˜๋ ค๋ฉด DevOps ๋Š” ํ•„์ˆ˜์š”์†Œ์ž…๋‹ˆ๋‹ค. ํ•˜์ง€๋งŒ, ํ•œ๊ตญ์—์„œ๋Š” DevOps ๋„์ž…์ด ์™œ ์ด๋ ‡๊ฒŒ ๋”๋”œ๊นŒ์š”?
๋ฌธํ™”์˜ ์ฐจ์ด๋ถ€ํ„ฐ, ๋„๊ตฌ, ์‚ฐ์—…๊ตฌ์กฐ ๋“ฑ DevOps ๋ฅผ ์–ด๋ ต๊ฒŒ ๋งŒ๋“œ๋Š” ์žฅ์• ์š”์†Œ๋“ค์„ ์ƒ๊ฐํ•ด๋ณด๊ณ  ๊ฐœ์ธ, ํŒ€, ํšŒ์‚ฌ์—์„œ ์–ด๋–ป๊ฒŒ ์ด๋“ค์„ ํ•ด๊ฒฐํ•˜์—ฌ
DevOps ๋ฅผ ๋„์ž…ํ•  ์ˆ˜ ์žˆ์„ ์ง€ ์ƒ๊ฐํ•ด๋ด…๋‹ˆ๋‹ค.

์„ธ์…˜ ๋‚œ์ด๋„: For All

๋ฐœํ‘œ ์ž๋ฃŒ


๊ณต์ง„๊ธฐ

๊ณต์ง„๊ธฐ / IBM

IBM Developer Advocate Seoul City Leader

์ปดํ“จํ„ฐ๊ณตํ•™์„ ์ „๊ณตํ–ˆ์œผ๋ฉฐ ๋‹น์‹œ ๊ฐ€์žฅ ๊ด€์‹ฌ์žˆ์—ˆ๋˜ ๊ธฐ์ˆ ์€ ์ธ๊ณต์ง€๋Šฅ์ด์—ˆ์Šต๋‹ˆ๋‹ค. ์ดํ›„ ๋Œ€ํ•™์›์—์„œ ์ธ์ง€๊ณผํ•™๊ณผ ์‹ฌ๋ฆฌํ•™์„ ์—ฐ๊ตฌํ•˜๊ธฐ๋„ ํ–ˆ์Šต๋‹ˆ๋‹ค.
๊ทธ ํ›„ ํ•ด์™ธ ์ธํ„ฐ๋„ท ์‡ผํ•‘๋ชฐ ๊ตฌ๋งค๋ฅผ ์ž๋™ํ™”ํ•ด์ฃผ๋Š” ๊ธฐ์ˆ  ๊ฐœ๋ฐœ ๊ฒฝํ—˜์œผ๋กœ ํ’€์Šคํƒ ๊ฐœ๋ฐœ์ž์˜ ๊ถค๋„์— ๋“ค์–ด์„ฐ์Šต๋‹ˆ๋‹ค.
์šธํ‹ฐ๋งˆ์˜จ๋ผ์ธ, EQ, WoW๋ฅผ 10๋…„์ „ ๋Š์€ ๋’ค๋กœ๋Š” ์„œ๋ฒ„, ๋ณด์•ˆ, ๋„คํŠธ์›Œํฌ, IoT ๋“ฑ ๋ญ๋“  ์ฐ์ ๋Œ€๋ฉฐ ๊ฐœ๋ฐœ์˜ ์™ธ๋กœ์›€์„ ๋‹ฌ๋ž˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

์•ˆ๋“œ๋กœ์ด๋“œ์™€ iOS๋ฅผ ๋™์‹œ์— ๊ฐœ๋ฐœํ•˜๋Š” Flutter

Android์™€ iOS๋ฅผ ๋™์‹œ์— ๊ฐœ๋ฐœํ•  ์ˆ˜ ์žˆ๋Š” Flutter๋ฅผ ์†Œ๊ฐœํ•ฉ๋‹ˆ๋‹ค.
์ƒ˜ํ”Œ ์•ฑ์„ ํ†ตํ•ด ์•ฑ ๊ฐœ๋ฐœ์ด ์–ผ๋งˆ๋‚˜ ๊ฐ„๋‹จํ•ด ์งˆ ์ˆ˜ ์žˆ๋Š”์ง€ ์•Œ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

์„ธ์…˜ ๋‚œ์ด๋„: Beginner

๋ฐœํ‘œ ์ž๋ฃŒ


์˜ค์ค€์„

์˜ค์ค€์„ / ์„ธ๋ฏผ์ง์—…์ „๋ฌธํ•™๊ต

๊ฐœ๋ฐœ์›์žฅ

'์•ˆ๋“œ๋กœ์ด๋“œ ์ƒ์กด์ฝ”๋”ฉ' ์œ ํŠœ๋ธŒ ์ฑ„๋„์„ ์šด์˜ํ•˜๊ณ  ์žˆ๋Š” ๊ต์œกํ•˜๋Š” ๊ฐœ๋ฐœ์ž ์˜ค์ค€์„์ž…๋‹ˆ๋‹ค.
์•ˆ๋“œ๋กœ์ด๋“œ ๊ฐœ๋ฐœ์„ ์ฃผ๋กœ ํ•˜์ง€๋งŒ ์„œ๋ฒ„, DB, ์›น, ํด๋ผ์šฐ๋“œ, iOS, Flutter ๋“ฑ ๋‹ค์–‘ํ•œ ํ”„๋ ˆ์ž„์›Œํฌ์™€ ์–ธ์–ด๋ฅผ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค.
์ €๋Š” ์ œ๊ฐ€ ๊ฐ€์ง„ ๊ฒฝํ—˜๊ณผ ๊ธฐ์ˆ ์„ ์ „์ˆ˜ํ•ด ์ฃผ๋Š” ๊ฒƒ์„ ์ข‹์•„ํ•ฉ๋‹ˆ๋‹ค. ๊ฐœ๋ฐœ๊ณผ ๊ต์œก ๋‘ ๋งˆ๋ฆฌ ํ† ๋ผ๋ฅผ ์žก์œผ๋ ค๊ณ  ๋…ธ๋ ฅํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

์˜คํ”ˆ์†Œ์Šค ์ปจํŠธ๋ฆฌ๋ทฐํ„ฐ๋กœ์„œ ์„ฑ์žฅํ•˜๋Š” ๊ฐœ๋ฐœ์ž: ๊ธ€๋กœ๋ฒŒ ์ปค๋ฎค๋‹ˆํ‹ฐ์—์„œ๋Š” ์–ด๋–ป๊ฒŒ ๊ฐ€๋Šฅํ• ๊นŒ?

ํ˜„ IT ์„ธ์ƒ์—๋Š” ํšŒ์‚ฌ์—์„œ ์—ด์‹ฌํžˆ ํ•˜์‹œ๋Š” ๊ฐœ๋ฐœ์ž ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์ง์ ‘ ์˜คํ”ˆ์†Œ์Šค๋ฅผ ๋งŒ๋“œ์‹œ๋Š”, ๋˜๋Š” ๋‹ค์–‘ํ•œ ์˜คํ”ˆ์†Œ์Šค ์žฌ๋‹จ ๋ฐ ์ปค๋ฎค๋‹ˆํ‹ฐ์™€ ํ•จ๊ป˜ ํ•˜๋Š” ๊ฐœ๋ฐœ์ž ๋ถ„๋“ค๋„ ๋งŽ์œผ์‹ญ๋‹ˆ๋‹ค.
๋ณธ ๋ฐœํ‘œ์—์„œ๋Š” ํด๋ผ์šฐ๋“œ ๋ฐ ์ปจํ…Œ์ด๋„ˆ ๊ด€๋ฆฌ ๋ถ„์•ผ ๋Œ€ํ‘œ์ ์ธ ์˜คํ”ˆ์†Œ์Šค ์ปค๋ฎค๋‹ˆํ‹ฐ์ธ ์˜คํ”ˆ์Šคํƒ ๋ฐ ์ฟ ๋ฒ„๋„คํ‹ฐ์Šค ๊ธ€๋กœ๋ฒŒ ์ปค๋ฎค๋‹ˆํ‹ฐ๋ฅผ ์˜ˆ๋ฅผ ๋“ค์–ด ํšŒ์‚ฌ์— ๊ณ„์‹ , ๋˜๋Š” ๋…๋ฆฝ ๊ฐœ๋ฐœ์ž๊ฐ€
์˜คํ”ˆ์†Œ์Šค ์ปจํŠธ๋ฆฌ๋ทฐ์…˜์„ ํ†ตํ•ด ์–ด๋–ค ์„ฑ์žฅ์„ ํ•˜๋Š”์ง€ ๋‹ค์–‘ํ•œ ๊ฒฝํ—˜์œผ๋กœ๋ถ€ํ„ฐ ์–ป์€ ์ธ์‚ฌ์ดํŠธ๋ฅผ ๊ณต์œ ํ•˜๊ณ ์ž ํ•ฉ๋‹ˆ๋‹ค.

์„ธ์…˜ ๋‚œ์ด๋„: Begginer

๋ฐœํ‘œ ์ž๋ฃŒ


์ตœ์˜๋ฝ

์ตœ์˜๋ฝ / ๋งˆ์ดํฌ๋กœ์†Œํ”„ํŠธ

Korea Field Developer Relations

๋งˆ์ดํฌ๋กœ์†Œํ”„ํŠธ์—์„œ ๊ฐœ๋ฐœ์ž์™€ ํ•จ๊ป˜ํ•˜๋Š” Azure๋ฅผ ๋ชจํ† ๋กœ ๋งŽ์€ ๋ถ„๋“ค๊ณผ ์†Œํ†ตํ•˜๋ฉฐ ์ง€๋‚ด๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ปค๋ฎค๋‹ˆํ‹ฐ๋ฅผ ์‚ฌ๋ž‘ํ•ฉ๋‹ˆ๋‹ค. ์˜คํ”ˆ์Šคํƒ ๋ฐ DevC Seoul ์ปค๋ฎค๋‹ˆํ‹ฐ ํ™œ๋™์—๋„ ์ฐธ์—ฌํ•˜๋ฉด์„œ ๋ณด๋‹ค ๋งŽ์€ ๊ฐœ๋ฐœ์ž ์ปค๋ฎค๋‹ˆํ‹ฐ์™€ ํ•จ๊ป˜ ํ•˜๊ณ ์ž ๋…ธ๋ ฅํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

SW ๊ฐœ๋ฐœ์ž, HW ๋„์ „๊ธฐ: IoT ๋ฑƒ์ง€ ์‚ฌ๋‚ด์ˆ˜๊ณต์—…!

์ปดํ“จํ„ฐ ์†Œํ”„ํŠธ์›จ์–ด ๊ฐœ๋ฐœ์ž์—๊ฒŒ ์™ ์ง€ ํ•˜๋“œ์›จ์–ด๋Š” ๋‹ค๋ฅธ ๋™๋„ค(?) ์ด์•ผ๊ธฐ์ฒ˜๋Ÿผ ๋Š๊ปด์ง€์ง€์š”. ํŠนํžˆ๋‚˜ ๋Œ€๋Ÿ‰์œผ๋กœ ๋งŒ๋“ค์–ด์•ผ ํ•  ๋•Œ๋ผ๋ฉด? ์–ด๋””์„œ๋ถ€ํ„ฐ ์‹œ์ž‘ํ•ด์•ผ ํ• ์ง€ ์ •์‹ ์ด ์•„๋“ํ•ด์ง‘๋‹ˆ๋‹ค. ๋‚ฏ์„ค๊ณ  ์–ด์ƒ‰ํ•˜๊ณ  ๋ฉ€๊ฒŒ๋งŒ ๋Š๊ปด์กŒ๋˜ ํ•˜๋“œ์›จ์–ด. ํ•˜์ง€๋งŒ ์ƒ๊ฐ๋ณด๋‹ค ์–ด๋ ต์ง€ ์•Š์Šต๋‹ˆ๋‹ค.
์ž‘๋…„ Devday์˜ ํ•ซ ์•„์ดํ…œ! ํšŒ๋กœ ๊ตฌ์„ฑ-SMD ๋ถ€ํ’ˆ ์„ ์ •-PCB ์•„ํŠธ์›ค-๊ทธ๋ฆฌ๊ณ  ์‚ฌ๋‚ด ์ˆ˜๊ณต์—…์œผ๋กœ ๋งŒ๋“ค์–ด ๋ฐฐํฌํ–ˆ๋˜ IoT Badge์˜ ์ œ์ž‘ ๊ฒฝํ—˜์„ ๊ณต์œ ํ•ฉ๋‹ˆ๋‹ค.

์„ธ์…˜ ๋‚œ์ด๋„: For All

๋ฐœํ‘œ ์ž๋ฃŒ


ํ™์ •์„

ํ™์ •์„ / IBM

Developer Advocate

์†๊ธ€์”จ๋ฅผ ๋Œ€์‹  ์จ์ฃผ๋Š” ์›Œ๋“œํ”„๋กœ์„ธ์Šค ๋•๋ถ„์— ์ปดํ“จํ„ฐ๋ฅผ ์ข‹์•„ํ•˜๊ฒŒ ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.
๋กœ๋ด‡์„ ๋งŒ๋“ค์–ด ๋ณด๊ฒ ๋‹ค๊ณ  ์‚ฝ์งˆํ•˜๋ฉฐ Embedded System, Mobile Java ํ”Œ๋žซํผ ๊ทธ๋ฆฌ๊ณ  ์ด์ œ๋Š” Cloud์™€ Web App ๊ฐœ๋ฐœ๋„ ํ•˜๊ฒŒ ๋˜์—ˆ๋„ค์š”.
์ง€๊ธˆ์€ IBM Developer Advocate๋กœ์„œ ๋‹ค์–‘ํ•œ ๊ฒฝํ—˜์„ ๊ณต์œ ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

Blockchain Diary for Citizen Scientists

์ด ์„ธ์…˜์—์„œ๋Š” ์Šค์Šค๋กœ ํ™œ๋™ํ•˜๋Š” ์‹œ๋ฏผ๊ณผํ•™์ž๋“ค์˜ ํ™œ๋™์ด mobile app๊ณผ ioT ์„ผ์„œ๋ฅผ ํ†ตํ•ด ์‹ค์‹œ๊ฐ„์œผ๋กœ ๋ธ”๋ก์ฒด์ธ์— ๊ธฐ๋ก๋˜๊ณ , AI๋ฅผ ํ™œ์šฉํ•ด ๋ถ„์„๋˜๊ณ , ์‚ฌํšŒ ๊ตฌ์กฐ์— ๋„์›€์ด ๋  ์ˆ˜ ์žˆ๋Š” ๋ฐ์ดํ„ฐ๋ฅผ reportํ•  ์ˆ˜ ์žˆ๋Š” metropolitan cloud์— ๋Œ€ํ•œ ์‹œ๋„๋“ค๊ณผ ์•„์ด๋””์–ด๋ฅผ ๊ณต์œ ํ•ฉ๋‹ˆ๋‹ค. ์„œ์šธ๋Œ€ํ•™๊ต์—์„œ ์ง„ํ–‰ ์ค‘์ธ ๊ฐœ์ธ-๊ฐ€์กฑ-๋„์‹œ-๊ด‘์—ญ๋„๋กœ๋ง-๊ธฐํ›„ํ™˜๊ฒฝ๋ณ€ํ™”์— ์ด๋ฅด๊ธฐ๊นŒ์ง€ ๋ฏธ๋ž˜์˜ ์‹œ๋ฏผ๊ณผํ•™์ž๋“ค์ด ์Šค์Šค๋กœ ์ฃผ๋ณ€์„ ๊ฐœ์„ ํ•ด๋‚˜๊ฐˆ ์ˆ˜ ์žˆ๋Š” ์—ฐ๊ตฌ ๊ณผ์ œ๋ฅผ ์†Œ๊ฐœํ•ฉ๋‹ˆ๋‹ค

์„ธ์…˜ ๋‚œ์ด๋„: For All

๋ฐœํ‘œ ์ž๋ฃŒ


์ด๋ฏผ๊ตฌ

์ด๋ฏผ๊ตฌ / ์„œ์šธ๋Œ€ํ•™๊ต

๊ฐ์›์กฐ๊ต์ˆ˜

์ตœ๊ทผ๊นŒ์ง€ ์ž๋™์ฐจ ํ˜„์žฅ์—์„œ ํ•„์š”๋กœ ํ•˜๋Š” ๋ธ”๋ก์ฒด์ธ ํ™˜๊ฒฝ๊ณผ ์‹œ์Šคํ…œ์„ ์ง์ ‘ ์ œ์•ˆํ•˜๊ณ  ๊ตฌํ˜„ํ•˜๋Š” in-house data designer/project manager ์—ญํ• ์„ ํ•ด์™”์Šต๋‹ˆ๋‹ค.
์นœํ™˜๊ฒฝ์ฐจ, ์ดˆ๋ฏธ์„ธ๋จผ์ง€ ๋“ฑ ๋„๋กœ ์œ„์—์„œ ๋Š๋ผ๋Š” ํ™˜๊ฒฝ๋ณ€ํ™”์—์„œ ๋งค๋…„ ๋Š๋ผ๋Š” ๊ธฐํ›„๋ณ€ํ™”์— ์ด๋ฅด๊ธฐ๊นŒ์ง€ ์šฐ๋ฆฌ ์‹œ๋Œ€์—๋Š” ๋‹ค์–‘ํ•œ ์—ฐ๊ตฌํ•  ๊ฑฐ๋ฆฌ๋“ค์ด ๋งŽ์Šต๋‹ˆ๋‹ค.
ํ˜„์žฌ๋Š” ์„œ์šธ๋Œ€ํ•™๊ต์—์„œ ์‹œ๋ฏผ๊ณผํ•™์ž๋ฅผ ์œ„ํ•œ ์‰ฌ์šด ioTํ™˜๊ฒฝ๊ณผ data-driven app์˜ ๊ต์œก ๋ฐ ์ฐธ์—ฌ ์—ฐ๊ตฌ์— ์ง‘์ค‘ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

Cognitive HR: ์ธ๊ณต์ง€๋Šฅ, ์กฐ์ง๋ฌธํ™”๋ฅผ ๋ณ€ํ™”์‹œํ‚ค๋‹ค

์ง์›๋“ค์˜ ์ˆ˜ ๋งŽ์€ ๊ฒฝํ—˜๋“ค์ด Data์— ์Œ“์ด๊ณ  ์ด๋ฅผ ์ธ๊ณต์ง€๋Šฅ์ด ๋ถ„์„ํ•˜์—ฌ ๋‹ค์–‘ํ•œ ๋ฐฉ๋ฉด์˜ insight ๋ฅผ ์ œ๊ณตํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋ฏธ ์—ฌ๋Ÿฌ ๋ถ„์•ผ์—์„œ ์‚ฌ์šฉํ•˜๊ณ  ์žˆ๋Š” IBM HR ์ธ๊ณต์ง€๋Šฅ ์†”๋ฃจ์…˜์„ ํ†ตํ•ด ์กฐ์ง ๋ฌธํ™”๋ฅผ ๋ณ€ํ™”์‹œํ‚ค๊ณ  ์žˆ๋Š” ์‚ฌ๋ก€๋ฅผ ๊ณต์œ ํ•ด๋“œ๋ฆฌ๋ ค๊ณ  ํ•ฉ๋‹ˆ๋‹ค.

์„ธ์…˜ ๋‚œ์ด๋„: For All


์ „๊ธฐํ›ˆ

์ „๊ธฐํ›ˆ / IBM

์‹ค์žฅ

ํ•œ๊ตญ IBM์—์„œ ์‹œ์Šคํ…œ ํ”„๋กœ๊ทธ๋ž˜๋จธ๋ฅผ ์‹œ์ž‘์œผ๋กœ ๋‹ค์–‘ํ•œ ๊ฒฝ๋ ฅ์„ ๊ฑฐ์ณ ํ˜„์žฌ HR Business Partner๋กœ ์ผํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. Data & AI ์‹œ๋Œ€์— ๋งž๋Š” ์ธ์žฌ๋ฅผ ์ฐพ์•„๋‚ด์–ด ์œก์„ฑํ•˜๋Š” ์ผ์„ ํ†ตํ•ด Business์— ๊ธฐ์—ฌํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

์•„์ดํŒจ๋“œ๋กœ ์›€์ง์ด๋Š” Watson AI ๋กœ๋ด‡: ์ฝ”๋”ฉ๊ณผ ๋ฉ”์ด์ปค ๋‘ ๋งˆ๋ฆฌ ํ† ๋ผ์žก๊ธฐ!

Watson์„ ํ™œ์šฉํ•˜๋Š” ์ธ๊ณต์ง€๋Šฅ ๋กœ๋ด‡์„ ๋งŒ๋“ค์–ด ๋ด…์‹œ๋‹ค.
๋ฉ”์ด์ปค ์„ธ๊ณ„์— ์ž…๋ฌธํ•ด์„œ ๊ณ ๊ตฐ๋ถ„ํˆฌ TJBot์„ ๋งŒ๋“ค์–ด ๋‚˜๊ฐ€๋Š” ์ด์•ผ๊ธฐ์™€
iPad์—์„œ์˜ ์ฝ”๋”ฉ ๊ต์œก ์‚ฌ๋ก€๋ฅผ ๋งŒ๋‚  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

์„ธ์…˜ ๋‚œ์ด๋„: Beginner

๋ฐœํ‘œ ์ž๋ฃŒ


์œค์„ฑ๊ด€

์œค์„ฑ๊ด€ / ใˆœ์ฝ”๋”์Šคํ•˜์ด

๋Œ€ํ‘œ

์ฝ”๋”์Šคํ•˜์ด ๋Œ€ํ‘œ์ด์ž ํ•œ์–‘๋Œ€ ์ปดํ“จํ„ฐ SWํ•™๋ถ€ ๊ฒธ์ž„๊ต์ˆ˜.
์• ํ”Œ ์„ ์ • ์šฐ์ˆ˜ ๊ต์œก์ž.
IBM๊ณผ Apple์˜ ์ ‘์ ์—์„œ ๋…ธ๋Š” ๊ฑธ ์ข‹์•„ํ•ฉ๋‹ˆ๋‹ค.

๊ฐœ๋ฐœ์ž ์ทจ์—…์˜ ์ˆ˜๋ฌธ์žฅ, ์ฝ”๋”ฉํ…Œ์ŠคํŠธ ์ค€๋น„ํ•˜๊ธฐ

๋ํŒ์™• ๋ฌธ์ œ ํ’€ ๋•Œ ํ•„์š”ํ•œ ๋‹ค์ด๋‚ด๋ฏน ํ”„๋กœ๊ทธ๋ž˜๋ฐ(dynamic programming) ์ •๋ณตํ•˜๊ธฐ

์„ธ์…˜ ๋‚œ์ด๋„: Intermediate

๋ฐœํ‘œ ์ž๋ฃŒ


๊น€๊ฒฝ๋ก

๊น€๊ฒฝ๋ก / ํ”Œ๋ฃจํ† ์Šค๋””์—์Šค

๋ฐฑ์—”๋“œ ๊ฐœ๋ฐœ์ž๊ฒธ ์ž‘๊ฐ€ ์ž…๋‹ˆ๋‹ค. ํ˜„์žฌ๊นŒ์ง€ 3๊ถŒ์˜ ์ฑ…์„ ๋ƒˆ์Šต๋‹ˆ๋‹ค. ์ง€๊ธˆ์€ ์ฝ”๋”ฉํ…Œ์ŠคํŠธ๋ฅผ ์ค€๋น„ํ•˜๋ฉด์„œ ๊ณต๋ถ€ํ–ˆ๋˜ ๊ฒƒ๋“ค๋กœ ์ฝ”๋”ฉํ…Œ์ŠคํŠธ ์ค€๋น„๋ฅผ ์œ„ํ•œ ์•Œ๊ณ ๋ฆฌ์ฆ˜ ์ฑ…์„ ์“ฐ๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

Migrating Your Service from Ethereum: Introducing Hyperledger Burrow

๋งŒ์•ฝ ๋‹น์‹ ์˜ ์ด๋”๋ฆฌ์›€ ์„œ๋น„์Šค๋ฅผ ํ”„๋ผ์ด๋น— ๋ธ”๋ก์ฒด์ธ์œผ๋กœ ๊ตฌํ˜„ํ•ด์•ผ ํ•œ๋‹ค๋ฉด ์–ด๋–ป๊ฒŒ ํ•ด์•ผ ํ• ๊นŒ์š”? ๊ณผ์—ฐ chaincode๋กœ ๋‹ค์‹œ ์งœ์•ผ ํ• ๊นŒ์š”? ๋ธ”๋ก์ฒด์ธ ๊ฐœ๋ฐœ์ž์—๊ฒŒ ๋„ˆ๋ฌด๋„ ์ต์ˆ™ํ•œ EVM์„ ํฌ๊ธฐํ•˜๊ณ  ์ƒˆ๋กœ์šด ์–ธ์–ด๋กœ ๋‹ค์‹œ์ง ๋‹ค๋Š” ๊ฑด ํž˜๋“  ์ผ์ž…๋‹ˆ๋‹ค. ๋˜ํ•œ ์›Œ๋‚™์— ๋ฆฌ์†Œ์Šค๊ฐ€ ๋งŽ์€ EVM ๊ธฐ๋ฐœ ํ”„๋กœ๊ทธ๋ž˜๋ฐ ์–ธ์–ด๋ฅผ ํฌ๊ธฐํ•  ์ˆ˜ ์—†์ฃ . ์ด๋ฅผ ์œ„ํ•ด hyperledger burrow๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋ฒˆ ์„ธ์…˜์„ ํ†ตํ•ด ํ”„๋กœํ† ํƒ€์ž…์„ ๊ตฌ์„ฑํ•ด๋ณธ ๋’ค ํ”„๋ผ์ด๋น— ๋ธ”๋ก์ฒด์ธ์œผ๋กœ ์ž์‹ ์˜ ์„œ๋น„์Šค๋ฅผ ์ด๋™ํ•  ์ˆ˜ ์žˆ๋Š”์ง€ ๊ฒฐ์ •ํ•ด๋ณด์„ธ์š”.

์„ธ์…˜ ๋‚œ์ด๋„: Beginner

๋ฐœํ‘œ ์ž๋ฃŒ


๊ฐ•ํ˜•์„

๊ฐ•ํ˜•์„ / SpeckleOS

์›น3๋ฅผ ๋งŒ๋“ค๊ธฐ ์œ„ํ•ด ๋ธ”๋ก์ฒด์ธ์— ๋Œ€ํ•ด ์—ฐ๊ตฌํ•˜๊ณ  ๋ฐฐ์šฐ๋Š” ๊ฐœ๋ฐœ์ž์ž…๋‹ˆ๋‹ค. ํ˜„์žฌ ์›น3์žฌ๋‹จ์—์„œ ํ•œ๊ตญ ๋Œ€์‚ฌ๋กœ ํด์นด๋‹ท ์„œ์šธ ์ปค๋ฎค๋‹ˆํ‹ฐ๋ฅผ ์šด์˜ํ•˜๊ณ  ์žˆ์œผ๋ฉฐ
SpeckleOS ํŒ€์—์„œ ์ฒด์ธ ๊ฐ„ ๊ณ„์ • ๊ด€๋ฆฌ ํŒจ๋Ÿฌ์ฒด์ธ์— ๊ด€ํ•ด ์—ฐ๊ตฌํ•˜๊ณ  ์™ธ ์›น2์™€ ๊ฐ™์€ ์›น3 ์ธํ„ฐํŽ˜์ด์Šค๋ฅผ ๊ฐœ๋ฐœํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

์ž‘๊ณ  ๋น ๋ฅธ ๋”ฅ๋Ÿฌ๋‹ ๊ทธ๋ฆฌ๊ณ  Edge Computing

์ตœ๊ทผ์˜ ํŠธ๋žœ๋“œ์ธ ํด๋ผ์šฐ๋“œ ์ปดํ“จํŒ…์—์„œ ์—ฃ์ง€์ปดํ“จํŒ…์œผ๋กœ์˜ ํ๋ฆ„์„ ์†Œ๊ฐœํ•˜๊ณ  ์—ฃ์ง€์ปดํ“จํŒ…, ์ž„๋ฒ ๋””๋“œ, ๋ชจ๋ฐ”์ผํ™˜๊ฒฝ์—์„œ ํ•œ์ •๋œ ์ž์›ํ•˜์— ๋”ฅ๋Ÿฌ๋‹ ๋ชจ๋ธ์„ ๋Œ๋ฆฌ๊ธฐ ์œ„ํ•ด ๋ชจ๋ธ์„ ๊ฒฝ๋Ÿ‰ํ™”, ๊ฐ€์†ํ™” ํ•˜์—ฌ ์„ค๊ณ„ํ•˜๋Š” ๊ธฐ๋ฒ•์— ๋Œ€ํ•ด์„œ ์†Œ๊ฐœํ•ฉ๋‹ˆ๋‹ค.

์„ธ์…˜ ๋‚œ์ด๋„: Intermediate

๋ฐœํ‘œ ์ž๋ฃŒ


์–‘์„œ์—ฐ

์–‘์„œ์—ฐ / LG์ „์ž

๋กœ๋ด‡์‚ฌ์—…์„ผํ„ฐ ์—ฐ๊ตฌ์›

AI Robotics KR ์šด์˜์ž. ์„œ์šธ๋Œ€ ๊ธฐ๊ณ„ํ•ญ๊ณต๊ณตํ•™ ์„์‚ฌ๋ฅผ ์กธ์—…ํ–ˆ๊ณ , ์ธ๊ณต์ง€๋Šฅ๊ณผ ๋กœ๋ด‡ํ‹ฑ์Šค๊ฐ€ ๊ฐ€์ ธ์˜ฌ ๋ฏธ๋ž˜์— ๊ด€์‹ฌ์ด ๋งŽ์€ ๊ฐœ๋ฐœ์ž์ž…๋‹ˆ๋‹ค.

๊ฐœ์ธ ์ทจํ–ฅ์„ ๋ฐ˜์˜ํ•œ ์ง€๋Šฅํ˜• ์—ฌํ–‰์ง€์ฝ”์Šค ์ถ”์ฒœ

์„ธ์…˜ ๋‚œ์ด๋„: For All


์„œ๋Œ€ํ˜ธ

์„œ๋Œ€ํ˜ธ / ํŠธ๋ฆฝ์ƒท

๋Œ€ํ‘œ

ํ•œ์–‘๋Œ€ ์ •๋ณด์‹œ์Šคํ…œํ•™๊ณผ์„ ์ „๊ณตํ•˜๊ณ  ํ•œ์–‘๋Œ€ ์‚ฐ์—…๊ณตํ•™๊ณผ์—์„œ ์„์‚ฌ ํ•™์œ„๋ฅผ ๋ฐ›์•˜์œผ๋ฉฐ ์ดํ›„ ํ•œ๊ตญ๊ณผํ•™๊ธฐ์ˆ ์›, ๋ชจ๋น„์  , ์ „์ž๋ถ€ํ’ˆ์—ฐ๊ตฌ์›์—์„œ ์—ฐ๊ตฌ์›์œผ๋กœ ์žฌ์งํ•˜๋ฉฐ ๋น…๋ฐ์ดํ„ฐ ๋ถ„์„์„ ์—ฐ๊ตฌํ–ˆ์Šต๋‹ˆ๋‹ค. ํ˜„์žฌ ์—ฐ์„ธ๋Œ€ํ•™๊ต ์ •๋ณด๋Œ€ํ•™์›์—์„œ ๋ฐ•์‚ฌ๊ณผ์ •์ค‘์— ์žˆ์œผ๋ฉฐ ๋‹ค์ˆ˜ ๊ธฐ์—…์˜ ๋ฐ์ดํ„ฐ ๋ถ„์„ ์ปจ์„คํŒ…, ๋ฐ์ดํ„ฐ ๋ถ„์„ ์†”๋ฃจ์…˜ ๊ฐœ๋ฐœ์„ ๋…์ž์ ์œผ๋กœ ๋งก์•„์„œ ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ๊ด€์‹ฌ ์—ฐ๊ตฌ๋ถ„์•ผ๋Š” ํ…์ŠคํŠธ๋งˆ์ด๋‹, ์‡ผํ•‘๋ชฐ ์ธ์‚ฌ์ดํŠธ ๋ถ„์„ ๋ฐ ์ถ”์ฒœ ์•Œ๊ณ ๋ฆฌ์ฆ˜, ์ด์ƒํƒ์ง€, ํ”„๋กœ์„ธ์Šค๋งˆ์ด๋‹, ์ด๋ฏธ์ง€์ฒ˜๋ฆฌ. ํ˜„์žฌ AI ๋น…๋ฐ์ดํ„ฐ ๋ถ„์„ ๊ธฐ์—… ํŠธ๋ฆฝ์ƒท, ๋‹ค๊ฒธ์˜ ๋Œ€ํ‘œ๋กœ ์žฌ์ง ์ค‘์ž…๋‹ˆ๋‹ค.

๋‚จ์„ธ๋™

๋‚จ์„ธ๋™

ใˆœ๋ณด์ด์ €์—‘์Šค

๋Œ€ํ‘œ

์ˆ˜ํ•™, ๊ณผํ•™์„ ์ข‹์•„ํ•ฉ๋‹ˆ๋‹ค.
์„ธ์ดํด๋Ÿฝ ์ดˆ๊ธฐ์— 1์ธ ๊ฐœ๋ฐœ์ž์˜€์Šต๋‹ˆ๋‹ค.
์„ธ์ดํด๋Ÿฝ๊ณผ B612๋ฅผ ๋งŒ๋“ค์—ˆ์œผ๋ฉฐ, ๊ธฐํš๊ณผ ๋””์ž์ธ์— ๋Œ€ํ•ด์„œ๋„ ์ƒ๋‹นํ•œ ๊ฒฝํ—˜์„ ๊ฐ€์ง€๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

๊น€์Šน๋ฒ”

๊น€์Šน๋ฒ”

VW LAB

์†Œ์žฅ

์ฃผ๋กœ ๊ฑด์ถ•๊ณผ ๋„์‹œ์— ๋Œ€ํ•œ ๋ฐ์ดํ„ฐ๋ฅผ ๋ถ„์„ํ•˜๊ณ  ์‹œ๊ฐํ™”ํ•จ์œผ๋กœ์จ ๋ฐ์ดํ„ฐ๊ฐ€ ๋“œ๋Ÿฌ๋‚ด๋Š” ์ธ๊ฐ„ ํ–‰์œ„์™€ ๋„์‹œ ์ด๋ฉด์˜ ์งˆ์„œ๋ฅผ ํƒ๊ตฌํ•ฉ๋‹ˆ๋‹ค.
์ตœ๊ทผ์—๋Š” OpenGL์„ ์‚ฌ์šฉํ•˜์—ฌ ๋งŽ์€ ์ˆ˜์˜ ๊ฐœ์ฒด๋“ค์ด ๋“ฑ์žฅํ•˜๋Š” ๋™์˜์ƒ ์‹œ๊ฐํ™” ์ž‘์—…๋„ ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

๋ฏผํ•™์ค€

๋ฏผํ•™์ค€

IBM

์‹ค์žฅ

IBM Watson Media & Weather ํ•œ๊ตญ ๊ฐœ๋ฐœํŒ€ ์‹œ๋‹ˆ์–ด ์†Œํ”„ํŠธ์›จ์–ด ์—”์ง€๋‹ˆ์–ด.
๋‹ค์–‘ํ•œ ์˜คํ”ˆ์†Œ์Šค์™€ ํ•จ์ˆ˜ํ˜• ํ”„๋กœ๊ทธ๋ž˜๋ฐ ๊ธฐ๋ฐ˜์˜ ๋Œ€๊ทœ๋ชจ ํด๋ผ์šฐ๋“œ ๋„ค์ดํ‹ฐ๋ธŒ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜ ๊ฐœ๋ฐœ์ด ์ฃผ ์—…๋ฌด.
์ตœ๊ทผ์—๋Š” ๋‹ค์–‘ํ•œ ๋งˆ์ดํฌ๋กœ์„œ๋น„์Šค๋ฅผ ์ฟ ๋ฒ„๋„คํ‹ฐ์Šค ํ™˜๊ฒฝ์œผ๋กœ ์ „ํ™˜ํ•˜๋Š” ํ”„๋กœ์ ํŠธ๋ฅผ ์ˆ˜ํ–‰ํ•˜์˜€์Šต๋‹ˆ๋‹ค.

์–‘์ง€์šฑ(Ralf Yang)

์–‘์ง€์šฑ(Ralf Yang)

๋ฉ”๊ฐ€์กด ํด๋ผ์šฐ๋“œ

DevOps Team ๋ฆฌ๋”

Yahoo, Dell, GS SHOP, ํ˜„๋Œ€์นด๋“œ ๋“ฑ Enterprise System ํ™˜๊ฒฝ์— ๊ด€๋ จํ•œ ๊ตฌ์ถ• ๋ฐ ์šด์˜ ์—…๋ฌด ๊ฒฝ๋ ฅ์„ ๊ฐ€์ง€๊ณ  ์žˆ์œผ๋ฉฐ, DevOps Korea (http://devopskorea.com)๋ฅผ ์šด์˜ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.
ํ˜„์žฌ๋Š” ๋ฉ”๊ฐ€์กดํด๋ผ์šฐ๋“œ์˜ DevOps ํŒ€๋ฆฌ๋”๋กœ ๊ทผ๋ฌดํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

๋งน์œคํ˜ธ

๋งน์œคํ˜ธ

IBM

IBM์—์„œ SW์—”์ง€๋‹ˆ์–ด๋กœ, ์—ฐ์„ธ๋Œ€์—์„œ ๋ฐ•์‚ฌ๊ณผ์ • ์ค‘์ธ ์ƒ๋Ÿฌ๋˜ํŠธ.
๊ธˆ์œต๋ถ„์•ผ์˜ ๋ธ”๋ก์ฒด์ธ ๋ฐ์ดํ„ฐ ์‚ฌ์ด์–ธํ‹ฐ์ŠคํŠธ๋ฅผ ๊ฟˆ๊พธ๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

๊ณ ์Šน๋ฒ”

๊ณ ์Šน๋ฒ”

SKํ…”๋ ˆ์ฝค

<์นดํ”„์นด, ๋ฐ์ดํ„ฐ ํ”Œ๋žซํผ์˜ ์ตœ๊ฐ•์ž> ์ €์ž๋กœ, ๋„ท๋งˆ๋ธ”, ์Šค๋งˆ์ผ๊ฒŒ์ดํŠธ, ์นด์นด์˜ค ๋“ฑ์˜ ํšŒ์‚ฌ๋ฅผ ๊ฑฐ์น˜๋ฉฐ ์‹œ์Šคํ…œ ์—”์ง€๋‹ˆ์–ด๋กœ ์„œ๋น„์Šค์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๊ฐ์ข… ํŠธ๋Ÿฌ๋ธ”์ŠˆํŒ…, ์ธํ”„๋ผ ์šด์˜ ๋“ฑ์„ ์ˆ˜ํ–‰ํ–ˆ๊ณ  ํ˜„์žฌ๋Š” SKํ…”๋ ˆ์ฝค์—์„œ ์นดํ”„์นด ์šด์˜์—…๋ฌด๋ฅผ ๋‹ด๋‹นํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.
์นด์นด์˜ค ๊ฐœ๋ฐœ์ž ์ปจํผ๋Ÿฐ์Šค, SK, NHN, ๋„ค์ด๋ฒ„ ๋“ฑ์—์„œ ์นดํ”„์นด์™€ ๊ด€๋ จ๋œ ๋ฐœํ‘œ๋ฅผ ๋‹ค์ˆ˜ ํ–ˆ์œผ๋ฉฐ, ํŽ˜์ด์Šค๋ถ '์นดํ”„์นด ํ•œ๊ตญ ์‚ฌ์šฉ์ž ๊ทธ๋ฃน' ์ปค๋ฎค๋‹ˆํ‹ฐ(https://facebook.com/groups/kafka.kru/)์˜ ๋Œ€ํ‘œ ์šด์˜์ž์ž…๋‹ˆ๋‹ค.

Lucy Obus

Lucy Obus

IBM

User Researcher, IBM Cloud Pak for Data

Lucy Obus is a user researcher on IBM's Hybrid Cloud portfolio, working primarily with Cloud Pak for Data. Prior to IBM, she spearheaded research initiatives at diverse organizations ranging from Lincoln Center for the Performing Arts to the Department of Homeland Security. As a researcher, Lucy ensures product design and development processes are driven by the needs of the user. Outside of work, Lucy is passionate about civic engagement, performing arts, and outdoor education. Originally from New York, she now resides in California. Lucy is committed to working with IBM customers (current and future), designing products that improve their lives.

Keith Howard

Keith Howard

IBM

Design Program Director – Watson IT

Keith has designed and built web-based products for many years for companies like Google, eBay and Dell. For the last three years, he has been focused on designing A.I. products for IBM and Watson. Keithโ€™s deep background in user experience design and research makes him a tireless advocate for his users. His goals are to understand his users and their challenges so that he can deliver products that help and delight them.

Victoria Aboud

Victoria Aboud

IBM

Designer, IBM Business Analytics

Victoria is a UX Designer for IBM Business Analytics. She has a background in Interaction Design and Service Design. She has worked on various offerings at IBM including: Cognos Analytics, Planning Analytics and Cognos Controller. Previously she worked with design consultancies in Milan, Italy and Madrid, Spain. She spends her free time swimming, reading and learning new languages.

Mitchell Bernstein

Mitchell Bernstein

IBM

UX & Visual Designer

Mitchell Bernstein is a product designer for IBMโ€™s Watson Studio and Cloud Pak for Data where heโ€™s reshaping the fundamentals of how people build machines that think autonomously. Additionally, Mitchell is leading the charge on a design framework meant to ensure the ethical design of artificial intelligence software.

Zach Nilsson

Zach Nilsson

IBM

User Researcher, Watson Financial Services

Zach is a researcher, motivator, and design thinker with Watson Financial Services at IBM in Raleigh, North Carolina. He has a multi-disciplinary background in user research, facilitation, and design strategy. Zach believes that Design must begin and end with the inclusion of the people we are designing for, because truly understanding a userโ€™s world will enable teams to identify needs faster, uncover new opportunities, and empower communities through the solutions they create.

Jessica Gore

Jessica Gore

IBM

Design Lead, Watson Machine Learning

Jessica is the Design Lead for Watson Machine Learning at IBM in San Francisco, California. She has experience in front end development, user experience and visual design. Jessica lives in Alameda, California, a walkable island city in the San Francisco Bay, with her husband and her cat, Merle. She loves to read, hike, bike, take photographs and knit.

๊น€์ฒœ์ˆœ

๊น€์ฒœ์ˆœ

IBM

Cloud Client Technical Leader

๋‹ด๋‹นํ•˜๋Š” ๊ณ ๊ฐ๊ป˜ ๋ฏฟ์„๋งŒํ•œ ๊ธฐ์ˆ  ์ž๋ฌธ(Trusted Technical Advisor)์„ ์ œ๊ณตํ•  ์ฑ…์ž„์„ ๋งก์€ ์•„ํ‚คํ…ํŠธ ์ž…๋‹ˆ๋‹ค. ์„ ๋„์ ์ธ ํ†ต์‹  ์‚ฐ์—… ๊ณ ๊ฐ์„ ์œ„์ฃผ๋กœ ๋‹ด๋‹นํ•˜๋‹ค๋ณด๋‹ˆ, ์ž์—ฐ์Šค๋Ÿฝ๊ฒŒ ๋‹ค์–‘ํ•œ Cloud ๊ธฐ์ˆ ๋“ค๋„ ํ•œ ๋ฐœ ์•ž์„œ ๋ณด๊ฒŒ ๋˜์—ˆ๊ณ  ์•ž์— Cloud๋ผ๋Š” ํƒ€์ดํ‹€์ด ํ•˜๋‚˜ ๋” ๋ถ™๊ฒŒ ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. Cloud CTL ์ด๋ผ ๋ถˆ๋ฆฌ๋ฉฐ Cloud ์ ์šฉ์— ๊ด€์‹ฌ์ด ์žˆ์œผ์‹  ๊ณ ๊ฐ๋“ค์„ ๋งŒ๋‚˜๋Ÿฌ ๋‹ค๋‹ˆ๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

์ง„์œ ๋ฆผ

์ง„์œ ๋ฆผ

Zepl

UI/UX oriented front-end engineer ์ž…๋‹ˆ๋‹ค. ๋ฐ์ดํ„ฐ ์‚ฌ์ด์–ธ์Šค ๋…ธํŠธ๋ถ ํ”Œ๋žซํผ Zepl ์„ ๋งŒ๋“ค๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

๊ณต์ง„๊ธฐ

๊ณต์ง„๊ธฐ

IBM

IBM Developer Advocate Seoul City Leader

์ปดํ“จํ„ฐ๊ณตํ•™์„ ์ „๊ณตํ–ˆ์œผ๋ฉฐ ๋‹น์‹œ ๊ฐ€์žฅ ๊ด€์‹ฌ์žˆ์—ˆ๋˜ ๊ธฐ์ˆ ์€ ์ธ๊ณต์ง€๋Šฅ์ด์—ˆ์Šต๋‹ˆ๋‹ค. ์ดํ›„ ๋Œ€ํ•™์›์—์„œ ์ธ์ง€๊ณผํ•™๊ณผ ์‹ฌ๋ฆฌํ•™์„ ์—ฐ๊ตฌํ•˜๊ธฐ๋„ ํ–ˆ์Šต๋‹ˆ๋‹ค.
๊ทธ ํ›„ ํ•ด์™ธ ์ธํ„ฐ๋„ท ์‡ผํ•‘๋ชฐ ๊ตฌ๋งค๋ฅผ ์ž๋™ํ™”ํ•ด์ฃผ๋Š” ๊ธฐ์ˆ  ๊ฐœ๋ฐœ ๊ฒฝํ—˜์œผ๋กœ ํ’€์Šคํƒ ๊ฐœ๋ฐœ์ž์˜ ๊ถค๋„์— ๋“ค์–ด์„ฐ์Šต๋‹ˆ๋‹ค.
์šธํ‹ฐ๋งˆ์˜จ๋ผ์ธ, EQ, WoW๋ฅผ 10๋…„์ „ ๋Š์€ ๋’ค๋กœ๋Š” ์„œ๋ฒ„, ๋ณด์•ˆ, ๋„คํŠธ์›Œํฌ, IoT ๋“ฑ ๋ญ๋“  ์ฐ์ ๋Œ€๋ฉฐ ๊ฐœ๋ฐœ์˜ ์™ธ๋กœ์›€์„ ๋‹ฌ๋ž˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

์˜ค์ค€์„

์˜ค์ค€์„

์„ธ๋ฏผ์ง์—…์ „๋ฌธํ•™๊ต

๊ฐœ๋ฐœ์›์žฅ

'์•ˆ๋“œ๋กœ์ด๋“œ ์ƒ์กด์ฝ”๋”ฉ' ์œ ํŠœ๋ธŒ ์ฑ„๋„์„ ์šด์˜ํ•˜๊ณ  ์žˆ๋Š” ๊ต์œกํ•˜๋Š” ๊ฐœ๋ฐœ์ž ์˜ค์ค€์„์ž…๋‹ˆ๋‹ค.
์•ˆ๋“œ๋กœ์ด๋“œ ๊ฐœ๋ฐœ์„ ์ฃผ๋กœ ํ•˜์ง€๋งŒ ์„œ๋ฒ„, DB, ์›น, ํด๋ผ์šฐ๋“œ, iOS, Flutter ๋“ฑ ๋‹ค์–‘ํ•œ ํ”„๋ ˆ์ž„์›Œํฌ์™€ ์–ธ์–ด๋ฅผ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค.
์ €๋Š” ์ œ๊ฐ€ ๊ฐ€์ง„ ๊ฒฝํ—˜๊ณผ ๊ธฐ์ˆ ์„ ์ „์ˆ˜ํ•ด ์ฃผ๋Š” ๊ฒƒ์„ ์ข‹์•„ํ•ฉ๋‹ˆ๋‹ค. ๊ฐœ๋ฐœ๊ณผ ๊ต์œก ๋‘ ๋งˆ๋ฆฌ ํ† ๋ผ๋ฅผ ์žก์œผ๋ ค๊ณ  ๋…ธ๋ ฅํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

์ตœ์˜๋ฝ

์ตœ์˜๋ฝ

๋งˆ์ดํฌ๋กœ์†Œํ”„ํŠธ

Korea Field Developer Relations

๋งˆ์ดํฌ๋กœ์†Œํ”„ํŠธ์—์„œ ๊ฐœ๋ฐœ์ž์™€ ํ•จ๊ป˜ํ•˜๋Š” Azure๋ฅผ ๋ชจํ† ๋กœ ๋งŽ์€ ๋ถ„๋“ค๊ณผ ์†Œํ†ตํ•˜๋ฉฐ ์ง€๋‚ด๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ปค๋ฎค๋‹ˆํ‹ฐ๋ฅผ ์‚ฌ๋ž‘ํ•ฉ๋‹ˆ๋‹ค. ์˜คํ”ˆ์Šคํƒ ๋ฐ DevC Seoul ์ปค๋ฎค๋‹ˆํ‹ฐ ํ™œ๋™์—๋„ ์ฐธ์—ฌํ•˜๋ฉด์„œ ๋ณด๋‹ค ๋งŽ์€ ๊ฐœ๋ฐœ์ž ์ปค๋ฎค๋‹ˆํ‹ฐ์™€ ํ•จ๊ป˜ ํ•˜๊ณ ์ž ๋…ธ๋ ฅํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

ํ™์ •์„

ํ™์ •์„

IBM

Developer Advocate

์†๊ธ€์”จ๋ฅผ ๋Œ€์‹  ์จ์ฃผ๋Š” ์›Œ๋“œํ”„๋กœ์„ธ์Šค ๋•๋ถ„์— ์ปดํ“จํ„ฐ๋ฅผ ์ข‹์•„ํ•˜๊ฒŒ ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.
๋กœ๋ด‡์„ ๋งŒ๋“ค์–ด ๋ณด๊ฒ ๋‹ค๊ณ  ์‚ฝ์งˆํ•˜๋ฉฐ Embedded System, Mobile Java ํ”Œ๋žซํผ ๊ทธ๋ฆฌ๊ณ  ์ด์ œ๋Š” Cloud์™€ Web App ๊ฐœ๋ฐœ๋„ ํ•˜๊ฒŒ ๋˜์—ˆ๋„ค์š”.
์ง€๊ธˆ์€ IBM Developer Advocate๋กœ์„œ ๋‹ค์–‘ํ•œ ๊ฒฝํ—˜์„ ๊ณต์œ ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

์ด๋ฏผ๊ตฌ

์ด๋ฏผ๊ตฌ

์„œ์šธ๋Œ€ํ•™๊ต

๊ฐ์›์กฐ๊ต์ˆ˜

์ตœ๊ทผ๊นŒ์ง€ ์ž๋™์ฐจ ํ˜„์žฅ์—์„œ ํ•„์š”๋กœ ํ•˜๋Š” ๋ธ”๋ก์ฒด์ธ ํ™˜๊ฒฝ๊ณผ ์‹œ์Šคํ…œ์„ ์ง์ ‘ ์ œ์•ˆํ•˜๊ณ  ๊ตฌํ˜„ํ•˜๋Š” in-house data designer/project manager ์—ญํ• ์„ ํ•ด์™”์Šต๋‹ˆ๋‹ค.
์นœํ™˜๊ฒฝ์ฐจ, ์ดˆ๋ฏธ์„ธ๋จผ์ง€ ๋“ฑ ๋„๋กœ ์œ„์—์„œ ๋Š๋ผ๋Š” ํ™˜๊ฒฝ๋ณ€ํ™”์—์„œ ๋งค๋…„ ๋Š๋ผ๋Š” ๊ธฐํ›„๋ณ€ํ™”์— ์ด๋ฅด๊ธฐ๊นŒ์ง€ ์šฐ๋ฆฌ ์‹œ๋Œ€์—๋Š” ๋‹ค์–‘ํ•œ ์—ฐ๊ตฌํ•  ๊ฑฐ๋ฆฌ๋“ค์ด ๋งŽ์Šต๋‹ˆ๋‹ค.
ํ˜„์žฌ๋Š” ์„œ์šธ๋Œ€ํ•™๊ต์—์„œ ์‹œ๋ฏผ๊ณผํ•™์ž๋ฅผ ์œ„ํ•œ ์‰ฌ์šด ioTํ™˜๊ฒฝ๊ณผ data-driven app์˜ ๊ต์œก ๋ฐ ์ฐธ์—ฌ ์—ฐ๊ตฌ์— ์ง‘์ค‘ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

์ „๊ธฐํ›ˆ

์ „๊ธฐํ›ˆ

IBM

์‹ค์žฅ

ํ•œ๊ตญ IBM์—์„œ ์‹œ์Šคํ…œ ํ”„๋กœ๊ทธ๋ž˜๋จธ๋ฅผ ์‹œ์ž‘์œผ๋กœ ๋‹ค์–‘ํ•œ ๊ฒฝ๋ ฅ์„ ๊ฑฐ์ณ ํ˜„์žฌ HR Business Partner๋กœ ์ผํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. Data & AI ์‹œ๋Œ€์— ๋งž๋Š” ์ธ์žฌ๋ฅผ ์ฐพ์•„๋‚ด์–ด ์œก์„ฑํ•˜๋Š” ์ผ์„ ํ†ตํ•ด Business์— ๊ธฐ์—ฌํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

์œค์„ฑ๊ด€

์œค์„ฑ๊ด€

ใˆœ์ฝ”๋”์Šคํ•˜์ด

๋Œ€ํ‘œ

์ฝ”๋”์Šคํ•˜์ด ๋Œ€ํ‘œ์ด์ž ํ•œ์–‘๋Œ€ ์ปดํ“จํ„ฐ SWํ•™๋ถ€ ๊ฒธ์ž„๊ต์ˆ˜.
์• ํ”Œ ์„ ์ • ์šฐ์ˆ˜ ๊ต์œก์ž.
IBM๊ณผ Apple์˜ ์ ‘์ ์—์„œ ๋…ธ๋Š” ๊ฑธ ์ข‹์•„ํ•ฉ๋‹ˆ๋‹ค.

๊น€๊ฒฝ๋ก

๊น€๊ฒฝ๋ก

ํ”Œ๋ฃจํ† ์Šค๋””์—์Šค

๋ฐฑ์—”๋“œ ๊ฐœ๋ฐœ์ž๊ฒธ ์ž‘๊ฐ€ ์ž…๋‹ˆ๋‹ค. ํ˜„์žฌ๊นŒ์ง€ 3๊ถŒ์˜ ์ฑ…์„ ๋ƒˆ์Šต๋‹ˆ๋‹ค. ์ง€๊ธˆ์€ ์ฝ”๋”ฉํ…Œ์ŠคํŠธ๋ฅผ ์ค€๋น„ํ•˜๋ฉด์„œ ๊ณต๋ถ€ํ–ˆ๋˜ ๊ฒƒ๋“ค๋กœ ์ฝ”๋”ฉํ…Œ์ŠคํŠธ ์ค€๋น„๋ฅผ ์œ„ํ•œ ์•Œ๊ณ ๋ฆฌ์ฆ˜ ์ฑ…์„ ์“ฐ๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

๊ฐ•ํ˜•์„

๊ฐ•ํ˜•์„

SpeckleOS

์›น3๋ฅผ ๋งŒ๋“ค๊ธฐ ์œ„ํ•ด ๋ธ”๋ก์ฒด์ธ์— ๋Œ€ํ•ด ์—ฐ๊ตฌํ•˜๊ณ  ๋ฐฐ์šฐ๋Š” ๊ฐœ๋ฐœ์ž์ž…๋‹ˆ๋‹ค. ํ˜„์žฌ ์›น3์žฌ๋‹จ์—์„œ ํ•œ๊ตญ ๋Œ€์‚ฌ๋กœ ํด์นด๋‹ท ์„œ์šธ ์ปค๋ฎค๋‹ˆํ‹ฐ๋ฅผ ์šด์˜ํ•˜๊ณ  ์žˆ์œผ๋ฉฐ
SpeckleOS ํŒ€์—์„œ ์ฒด์ธ ๊ฐ„ ๊ณ„์ • ๊ด€๋ฆฌ ํŒจ๋Ÿฌ์ฒด์ธ์— ๊ด€ํ•ด ์—ฐ๊ตฌํ•˜๊ณ  ์™ธ ์›น2์™€ ๊ฐ™์€ ์›น3 ์ธํ„ฐํŽ˜์ด์Šค๋ฅผ ๊ฐœ๋ฐœํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

์–‘์„œ์—ฐ

์–‘์„œ์—ฐ

LG์ „์ž

๋กœ๋ด‡์‚ฌ์—…์„ผํ„ฐ ์—ฐ๊ตฌ์›

AI Robotics KR ์šด์˜์ž. ์„œ์šธ๋Œ€ ๊ธฐ๊ณ„ํ•ญ๊ณต๊ณตํ•™ ์„์‚ฌ๋ฅผ ์กธ์—…ํ–ˆ๊ณ , ์ธ๊ณต์ง€๋Šฅ๊ณผ ๋กœ๋ด‡ํ‹ฑ์Šค๊ฐ€ ๊ฐ€์ ธ์˜ฌ ๋ฏธ๋ž˜์— ๊ด€์‹ฌ์ด ๋งŽ์€ ๊ฐœ๋ฐœ์ž์ž…๋‹ˆ๋‹ค.

์„œ๋Œ€ํ˜ธ

์„œ๋Œ€ํ˜ธ

ํŠธ๋ฆฝ์ƒท

๋Œ€ํ‘œ

ํ•œ์–‘๋Œ€ ์ •๋ณด์‹œ์Šคํ…œํ•™๊ณผ์„ ์ „๊ณตํ•˜๊ณ  ํ•œ์–‘๋Œ€ ์‚ฐ์—…๊ณตํ•™๊ณผ์—์„œ ์„์‚ฌ ํ•™์œ„๋ฅผ ๋ฐ›์•˜์œผ๋ฉฐ ์ดํ›„ ํ•œ๊ตญ๊ณผํ•™๊ธฐ์ˆ ์›, ๋ชจ๋น„์  , ์ „์ž๋ถ€ํ’ˆ์—ฐ๊ตฌ์›์—์„œ ์—ฐ๊ตฌ์›์œผ๋กœ ์žฌ์งํ•˜๋ฉฐ ๋น…๋ฐ์ดํ„ฐ ๋ถ„์„์„ ์—ฐ๊ตฌํ–ˆ์Šต๋‹ˆ๋‹ค. ํ˜„์žฌ ์—ฐ์„ธ๋Œ€ํ•™๊ต ์ •๋ณด๋Œ€ํ•™์›์—์„œ ๋ฐ•์‚ฌ๊ณผ์ •์ค‘์— ์žˆ์œผ๋ฉฐ ๋‹ค์ˆ˜ ๊ธฐ์—…์˜ ๋ฐ์ดํ„ฐ ๋ถ„์„ ์ปจ์„คํŒ…, ๋ฐ์ดํ„ฐ ๋ถ„์„ ์†”๋ฃจ์…˜ ๊ฐœ๋ฐœ์„ ๋…์ž์ ์œผ๋กœ ๋งก์•„์„œ ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ๊ด€์‹ฌ ์—ฐ๊ตฌ๋ถ„์•ผ๋Š” ํ…์ŠคํŠธ๋งˆ์ด๋‹, ์‡ผํ•‘๋ชฐ ์ธ์‚ฌ์ดํŠธ ๋ถ„์„ ๋ฐ ์ถ”์ฒœ ์•Œ๊ณ ๋ฆฌ์ฆ˜, ์ด์ƒํƒ์ง€, ํ”„๋กœ์„ธ์Šค๋งˆ์ด๋‹, ์ด๋ฏธ์ง€์ฒ˜๋ฆฌ. ํ˜„์žฌ AI ๋น…๋ฐ์ดํ„ฐ ๋ถ„์„ ๊ธฐ์—… ํŠธ๋ฆฝ์ƒท, ๋‹ค๊ฒธ์˜ ๋Œ€ํ‘œ๋กœ ์žฌ์ง ์ค‘์ž…๋‹ˆ๋‹ค.

๋“ฑ๋ก ๋งˆ๊ฐ ์•ˆ๋‚ด


IBM Developer Day 2019 ๋“ฑ๋ก์ด ์—ฌ๋Ÿฌ๋ถ„์˜ ์„ฑ์›์œผ๋กœ ํ˜„์žฌ ๋ชจ๋‘ ๋งˆ๊ฐ ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

ํ•œ์ •๋œ ์ขŒ์„์œผ๋กœ ์ธํ•ด ํ˜„์žฅ ๋“ฑ๋ก์„ ๋ฐ›์ง€ ์•Š๋Š” ์  ์–‘ํ•ด ๋ถ€ํƒ๋“œ๋ฆฌ๊ฒ ์Šต๋‹ˆ๋‹ค.


9/2 ์›”์š”์ผ ๊ฒฝ์— ํŽ˜์ด์Šค๋ถ ๊ทธ๋ฃน์ธ <developerWorks ์‚ฌ์šฉ์ž ๊ทธ๋ฃน>์„ ํ†ตํ•ด ํŠน๋ณ„ ์ดˆ์ฒญ ์ด๋ฒคํŠธ๊ฐ€ ์—ด๋ฆด ์˜ˆ์ •์ž…๋‹ˆ๋‹ค. ๋งํฌ๋ฅผ ํ†ตํ•ด ํŽ˜์ด์Šค๋ถ ๊ทธ๋ฃน์— ๊ฐ€์ž…ํ•˜์‹œ๋ฉด ์ด๋ฒคํŠธ์— ์ฐธ์—ฌํ•˜์‹ค ์ˆ˜ ์žˆ์œผ๋‹ˆ ์ฐธ๊ณ ํ•˜์‹œ๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค.

https://www.facebook.com/groups/developerWorksKRUG

IBM Developer Day 2019์— ๋ณด๋‚ด์ฃผ์‹  ๊ด€์‹ฌ์— ๋‹ค์‹œ ํ•œ ๋ฒˆ ๊ฐ์‚ฌ๋“œ๋ฆฌ๋ฉฐ, ํ–‰์‚ฌ ๋‹น์ผ ๋ต™๊ฒ ์Šต๋‹ˆ๋‹ค.

๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค.