Upgrade to Pro — share decks privately, control downloads, hide ads and more …

日本からは得られないre:MARS情報を収集してみた / Collect re:MARS in...

maroon1st
July 19, 2019
Technology
0
780

日本からは得られないre:MARS情報を収集してみた / Collect re:MARS information that cannot be obtained in Japan

JAWS-UG東京 #31 re:MARS RecapのLT資料です。
https://jawsug.connpass.com/event/135037/

maroon1st

July 19, 2019
Tweet

More Decks by maroon1st

See All by maroon1st
【DevelopersIO 2024】AI 半可通なのにエッジ AI 機能を全力で解説してみる 〜Cloudflare の場合〜
maroon1st
0
250
Google Cloud の RDB を徹底比較！ 選び方と最新機能紹介 #devio2024
maroon1st
0
1.1k
Google Cloud の AI を支える裏側のインフラを垣間見る！
maroon1st
0
650
JAWS-UG横浜 #63 AWS re:Invent 2023 宇宙一早い Recap イケてるアップデートを宇宙いち早く紹介するよ！
maroon1st
0
22
Google Cloud Next '23 Recap AI 時代のデータベース関連のイケてるアップデートをお届け
maroon1st
0
880
Zaraz 試してみた #CloudflareUG #CloudflareUG_www
maroon1st
0
950
Cloudflare Application Service のサイト登録の種類を確認してみた #CloudflareUG #CloudflareUG_hnd
maroon1st
0
1.1k
Cloudflare 概論 Cloudflare Meetup Kick Off! #CloudflareUG
maroon1st
1
1.7k
Cloudflare の画像最適化機能を紹介してみる
maroon1st
0
2.2k

Other Decks in Technology

See All in Technology
Oracle Cloud Infrastructure データベース・クラウド：各バージョンのサポート期間
oracle4engineer
PRO
27
12k
日経電子版におけるリアルタイムレコメンドシステム開発の事例紹介/nikkei-realtime-recommender-system
yng87
1
500
初心者に Vue.js を 教えるには
tsukuha
5
390
プロダクトチームへのSystem Risk Records導入・運用事例の紹介/Introduction and Case Studies on Implementing and Operating System Risk Records for Product Teams
taddy_919
1
170
【技術書典17】OpenFOAM（自宅で極める流体解析）2次元円柱まわりの流れ
kamakiri1225
0
210
Fargateを使った研修の話
takesection
0
120
現地でMeet Upをやる場合の注意点 〜反省点を添えて〜
shotashiratori
0
520
GitHub Universe: Evaluating RAG apps in GitHub Actions
pamelafox
0
170
来年もre:Invent2024 に行きたいあなたへ - “集中”と“つながり”で楽しむ -
ny7760
0
470
グローバル展開を見据えたサービスにおける機械翻訳プラクティス / dp-ai-translating
cyberagentdevelopers
PRO
1
150
Gradle: The Build System That Loves To Hate You
aurimas
2
150
IaC運用を楽にするためにCDK Pipelinesを導入したけど、思い通りにいかなかった話
smt7174
1
110

Featured

See All Featured
Designing Dashboards & Data Visualisations in Web Apps
destraynor
228
52k
Embracing the Ebb and Flow
colly
84
4.4k
How to Ace a Technical Interview
jacobian
275
23k
[RailsConf 2023] Rails as a piece of cake
palkan
51
4.9k
Easily Structure & Communicate Ideas using Wireframe
afnizarnur
191
16k
Code Review Best Practice
trishagee
64
17k
Fantastic passwords and where to find them - at NoRuKo
philnash
50
2.8k
Building Flexible Design Systems
yeseniaperezcruz
327
38k
Optimising Largest Contentful Paint
csswizardry
33
2.9k
A Philosophy of Restraint
colly
203
16k
Practical Orchestrator
shlominoach
186
10k
Fight the Zombie Pattern Library - RWD Summit 2016
marcelosomers
231
17k

Transcript

  1. ೔ຊ͔Β͸ಘΒΕͳ͍ SF."34৘ใΛऩूͯ͠Έͨ +"846(౦ژSF."343FDBQ ೥݄೔ Ϋϥεϝιουגࣜձࣾ"84ࣄۀຊ෦ γχΞιϦϡʔγϣϯΞʔΩςΫτɹେ܀फ

  2. 8IPBN*   େ܀फ !NBSPPOTU  ϝʔΧʔܥ4*FSʹ೥΄Ͳࡏ੶ͯ͠
 ೥લʹΫϥεϝιουʹδϣΠϯ "84ಋೖίϯαϧςΟϯάΛ
 ϝΠϯʹΠϯϑϥߏங΋

    ޷͖ͳ"84αʔϏε
 "NB[PO"VSPSB

  3. EJTDMBJNFS   ͝ΊΜͳ͍͞

  4. EJTDMBJNFS   ຊLT͸ ʮre:MARSߦͬͯͳ͍͚Ͳ AI,ML,RoboticsͰLTʯͷ ࿮Ͱ͢ɻ

  5. EJTDMBJNFS   ࣮͸re:MARSʹߦͬͯ·ͨ͠ʂ

  6.   ͪͳΈʹ

  7.   ΄ͱΜͲͷηογϣϯ͸ ಈը͕ެ։͞Ε͍ͯ·͢

  8. "NB[POSF."34ͷ:PV5VCFνϟϯωϧ   https://www.youtube.com/channel/UCgkkeHebGYy7udnkNAeBv0w/featured

  9.   ͳͷͰ

  10.   ಈը্͕͕͍ͬͯͳ͍ࣄʹ ͍ͭͯ࿩͠·͢

  11. :PV5VCFʹࡌ͍ͬͯͳ͍ηογϣϯҰཡ   (GEN1) Welcome Reception (GEN2) Networking Reception (GEN3)

    re:MARS Party (MEAL1) Wednesday Breakfast (MEAL2) Wednesday Lunch (MEAL3) Thursday Breakfast (MEAL4) Thursday Lunch (MEAL5) Friday Breakfast (KEY1) Opening Remarks & Innovation Spotlights (KEY2) Wednesday Keynote & Innovation Spotlights (KEY3) Thursday Keynote & Innovation Spotlights (W00) Tuesday Workshops (A16) Futuring the Farm to Improve Crop Health (M03) Amazon Go: A Technology Deep Dive (M46) NFL Media – AI for Metadata (R05-L) Year 2030: Emerging Technologies and the Future of Robotics (R15) Simulating Reality for Robotic Delivery

  12. :PV5VCFʹࡌ͍ͬͯͳ͍ηογϣϯҰཡ   (GEN1) Welcome Reception (GEN2) Networking Reception (GEN3)

    re:MARS Party (MEAL1) Wednesday Breakfast (MEAL2) Wednesday Lunch (MEAL3) Thursday Breakfast (MEAL4) Thursday Lunch (MEAL5) Friday Breakfast (KEY1) Opening Remarks & Innovation Spotlights (KEY2) Wednesday Keynote & Innovation Spotlights (KEY3) Thursday Keynote & Innovation Spotlights (W00) Tuesday Workshops (A16) Futuring the Farm to Improve Crop Health (M03) Amazon Go: A Technology Deep Dive (M46) NFL Media – AI for Metadata (R05-L) Year 2030: Emerging Technologies and the Future of Robotics (R15) Simulating Reality for Robotic Delivery ༡ͼ΍৯ࣄ ηογϣϯྨ

  13. :PV5VCFʹࡌ͍ͬͯͳ͍ηογϣϯҰཡ   (GEN1) Welcome Reception (GEN2) Networking Reception (GEN3)

    re:MARS Party (MEAL1) Wednesday Breakfast (MEAL2) Wednesday Lunch (MEAL3) Thursday Breakfast (MEAL4) Thursday Lunch (MEAL5) Friday Breakfast (KEY1) Opening Remarks & Innovation Spotlights (KEY2) Wednesday Keynote & Innovation Spotlights (KEY3) Thursday Keynote & Innovation Spotlights (W00) Tuesday Workshops (A16) Futuring the Farm to Improve Crop Health (M03) Amazon Go: A Technology Deep Dive (M46) NFL Media – AI for Metadata (R05-L) Year 2030: Emerging Technologies and the Future of Robotics (R15) Simulating Reality for Robotic Delivery ༡ͼ΍৯ࣄ ηογϣϯྨ

  14.   ,&: 0QFOJOH3FNBSLT*OOPWBUJPO4QPUMJHIUT

  15. ,&: 0QFOJOH3FNBSLT*OOPWBUJPO4QPUMJHIUT  

  16. ,&: 0QFOJOH3FNBSLT*OOPWBUJPO4QPUMJHIUT  

  17. ,&: 0QFOJOH3FNBSLT*OOPWBUJPO4QPUMJHIUT  

  18. ,&: 0QFOJOH3FNBSLT*OOPWBUJPO4QPUMJHIUT  

  19. ,&: 0QFOJOH3FNBSLT*OOPWBUJPO4QPUMJHIUT  

  20.   ,&: 8FEOFTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT

  21. ,&: 8FEOFTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT  

  22.   "NB[PO $&0PG(MPCBM$POTVNFS

  23. ,&: 8FEOFTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT  

  24. ,&: 8FEOFTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT  

  25.   ,&: 5IVSTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT

  26. ,&: 5IVSTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT  

  27. ,&: 5IVSTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT  

  28. ,&: 5IVSTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT  

  29. ,&: 5IVSTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT  

  30. ,&: 5IVSTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT  

  31. ,&: 5IVSTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT  

  32. ,&: 5IVSTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT  

  33. ,&: 5IVSTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT  

  34. ,&: 5IVSTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT  

  35. ,&: 5IVSTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT  

  36. ,&: 5IVSTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT   https://dev.classmethod.jp/report/remars-keynote-jb/

  37. ,&: 5IVSTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT  

  38. :PV5VCFʹࡌ͍ͬͯͳ͍ηογϣϯҰཡ   (GEN1) Welcome Reception (GEN2) Networking Reception (GEN3)

    re:MARS Party (MEAL1) Wednesday Breakfast (MEAL2) Wednesday Lunch (MEAL3) Thursday Breakfast (MEAL4) Thursday Lunch (MEAL5) Friday Breakfast (KEY1) Opening Remarks & Innovation Spotlights (KEY2) Wednesday Keynote & Innovation Spotlights (KEY3) Thursday Keynote & Innovation Spotlights (W00) Tuesday Workshops (A16) Futuring the Farm to Improve Crop Health (M03) Amazon Go: A Technology Deep Dive (M46) NFL Media – AI for Metadata (R05-L) Year 2030: Emerging Technologies and the Future of Robotics (R15) Simulating Reality for Robotic Delivery ༡ͼ΍৯ࣄ ηογϣϯྨ

  39.   8 5VFTEBZ8PSLTIPQT

  40. 8 5VFTEBZ8PSLTIPQT   ҎԼͷ8PSLTIPQ͔Βબ୒ 8#VJMEJOHUIF4UBSTIJQ&OUFSQSJTF$PNQVUFS5PEBZ 8(FU4UBSUFEXJUI.BDIJOF-FBSOJOH6TJOH"84%FFQ3BDFS 8#VJME*OUFMMJHFOU"QQMJDBUJPOT2VJDLMZXJUI"84"* 84NBSU$JUJFT"SF5IF'VUVSF 8'JOEJOH.BSUJBOTXJUI"843PCP.BLFSBOEUIF+1-0QFO4PVSDF3PWFS

    8SF7FHBT#MBDLKBDL 87PJDF$POUSPMGPS"OZ5IJOH 81SBDUJDBM.BDIJOF-FBSOJOH 'SPN6OMBCFMFE%BUBUPB1SPEVDUJPO.PEFM

  41. 8 5VFTEBZ8PSLTIPQT   ҎԼͷ8PSLTIPQ͔Βબ୒ 8#VJMEJOHUIF4UBSTIJQ&OUFSQSJTF$PNQVUFS5PEBZ 8(FU4UBSUFEXJUI.BDIJOF-FBSOJOH6TJOH"84%FFQ3BDFS 8#VJME*OUFMMJHFOU"QQMJDBUJPOT2VJDLMZXJUI"84"* 84NBSU$JUJFT"SF5IF'VUVSF 8'JOEJOH.BSUJBOTXJUI"843PCP.BLFSBOEUIF+1-0QFO4PVSDF3PWFS

    8SF7FHBT#MBDLKBDL 87PJDF$POUSPMGPS"OZ5IJOH 81SBDUJDBM.BDIJOF-FBSOJOH 'SPN6OMBCFMFE%BUBUPB1SPEVDUJPO.PEFM

  42.   8SF7FHBT#MBDLKBDL

  43. 8SF7FHBT#MBDLKBDL  

  44. 8SF7FHBT#MBDLKBDL  

  45. 8SF7FHBT#MBDLKBDL  

  46. 8SF7FHBT#MBDLKBDL  

  47. 8SF7FHBT#MBDLKBDL  

  48. 8SF7FHBT#MBDLKBDL  

  49. 8SF7FHBT#MBDLKBDL  

  50. 8SF7FHBT#MBDLKBDL  

  51. 8SF7FHBT#MBDLKBDL  

  52. 8SF7FHBT#MBDLKBDL   https://github.com/laithalsaadoon/remars2019-revegas-workshop

  53. 8SF7FHBT#MBDLKBDL  

  54. 8SF7FHBT#MBDLKBDL  

  55. 8SF7FHBT#MBDLKBDL  

  56. 8SF7FHBT#MBDLKBDL  

  57. 8SF7FHBT#MBDLKBDL  

  58. 8SF7FHBT#MBDLKBDL  

  59.   8#VJME*OUFMMJHFOU"QQMJDBUJPOT2VJDLMZXJUI"84"*

  60. 8#VJME*OUFMMJHFOU"QQMJDBUJPOT2VJDLMZXJUI"84"*  

  61. 8#VJME*OUFMMJHFOU"QQMJDBUJPOT2VJDLMZXJUI"84"*  

  62. 8#VJME*OUFMMJHFOU"QQMJDBUJPOT2VJDLMZXJUI"84"*   IUUQTBJTFSWJDFTHPBXTDPN

  63. 8#VJME*OUFMMJHFOU"QQMJDBUJPOT2VJDLMZXJUI"84"*   #VJME"4PDJBM.FEJB%BTICPBSE 5XJUUFSͷ4USFBN"1*ͷ
 σʔλΛ$PNQSFIFOEͰ
 Ωʔϫʔυݕग़͢Δɻ "UIFOBͰݕࡧͯ͠
 2VJDL4JHIUͰදࣔΛߦ͏ɻ https://ai-services.go-aws.com/30_social-media-analytics/20_architecture.html

  64. 8#VJME*OUFMMJHFOU"QQMJDBUJPOT2VJDLMZXJUI"84"*   #VJME"4PDJBM.FEJB%BTICPBSE https://ai-services.go-aws.com/30_social-media-analytics/60_quicksight_dashboards.html

  65. 8#VJME*OUFMMJHFOU"QQMJDBUJPOT2VJDLMZXJUI"84"*   #VJMEBO"*1PXFSFE$POUBDU$FOUFS "NB[PO$POOFDUͰి࿩Λ
 ड͚ΔɻԻ੠Λ,74ܦ༝Ͱ
 จࣈى͜͠͠$PNQSFIFOE
 ͷײ৘෼ੳ΍຋༁ΛϦΞϧ
 λΠϜͰߦ͏ɻ https://ai-services.go-aws.com/40_connect-transcribe/10_overview.html

  66. 8#VJME*OUFMMJHFOU"QQMJDBUJPOT2VJDLMZXJUI"84"*   #VJMEBO"*1PXFSFE$POUBDU$FOUFS https://ai-services.go-aws.com/40_connect-transcribe/50_agent-interface.html

  67. 8#VJME*OUFMMJHFOU"QQMJDBUJPOT2VJDLMZXJUI"84"*   #VJMEB1FSTPOBM3FDPNNFOEBUJPO&OHJOF https://ai-services.go-aws.com/50_personalize/70_appconfig/90_pluginmodels.html

  68. %FNP   ͕࣌ؒ͋ͬͨΒ σϞ͠·͢ʂ

  69. None