Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
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...
Search
maroon1st
July 19, 2019
Technology
910
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
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
More Decks by maroon1st
See All by maroon1st
ついに来た!本格的なマルチクラウド時代の Google Cloud
maroon1st
0
570
JAWS-UG横浜 #100 祝・第100回スペシャルAWS は VPC レスの時代へ
maroon1st
0
310
re:Invent 2025 のイケてるサービスを紹介する
maroon1st
0
320
Graviton と Nitro と私
maroon1st
0
370
実は歴史的なアップデートだと思う AWS Interconnect - multicloud
maroon1st
0
830
業務自動化プラットフォーム Google Agentspace に入門してみる #devio2025
maroon1st
0
410
[JAWS DAYS 2025] 最近の DB の競合解決の仕組みが分かった気になってみた
maroon1st
0
640
ハワイアン航空 ステータスへの道 #HAairstudy
maroon1st
0
510
[JAWS-UG横浜 #79] re:Invent 2024 の DB アップデートは Multi-Region!
maroon1st
1
560
Other Decks in Technology
See All in Technology
作って終わりにしない タイミーのセマンティックレイヤー育成の現在地
chanyou0311
4
2.4k
AIっぽい文章を採点して人間らしく直すアプリを作ってみた
yama3133
2
190
入門!AWS Blocks
ysuzuki
1
130
【セミナー資料】Claude Code をセキュアに使うための考え方と設定の勘どころ / Claude Code Webinar 20260616
masahirokawahara
2
350
就職⽀援サービスにおけるキャリアアドバイザーのシフトスケジューリング
recruitengineers
PRO
1
150
「エンジニア進化論」2028年の開発完全自動化、エンジニアはどう進化するか
cyberagentdevelopers
PRO
6
5.2k
Claude Codeとのおしゃべりでセマンティックモデルの定義からダッシュボード作成まで完成させる
nic_sugiyama
0
110
小さく始める AI 活用推進 ― 日経電子版 Web チームの事例/nikkei-tech-talk47
nikkei_engineer_recruiting
0
270
AIのReact習熟度を測る
uhyo
2
590
自律型AIエージェントは何を破壊するのか
kojira
0
160
白金鉱業Meetup_Vol.24_「AIエージェントは分けるほど良い」は本当か? / Is it true that “the more you divide AI agents, the better”?
brainpadpr
1
390
AGENTS.mdとSkillsで始めるAIエージェント活用
sonoda_mj
3
220
Featured
See All Featured
Building Adaptive Systems
keathley
44
3.1k
Navigating the moral maze — ethical principles for Al-driven product design
skipperchong
2
390
Building a Scalable Design System with Sketch
lauravandoore
463
34k
How People are Using Generative and Agentic AI to Supercharge Their Products, Projects, Services and Value Streams Today
helenjbeal
1
210
Unlocking the hidden potential of vector embeddings in international SEO
frankvandijk
0
840
We Are The Robots
honzajavorek
0
250
The Director’s Chair: Orchestrating AI for Truly Effective Learning
tmiket
1
190
HDC tutorial
michielstock
2
710
Exploring the Power of Turbo Streams & Action Cable | RailsConf2023
kevinliebholz
37
6.5k
Mind Mapping
helmedeiros
PRO
1
250
Statistics for Hackers
jakevdp
799
230k
Exploring the relationship between traditional SERPs and Gen AI search
raygrieselhuber
PRO
2
4k
Transcript
ຊ͔ΒಘΒΕͳ͍ SF."34ใΛऩूͯ͠Έͨ +"846(౦ژSF."343FDBQ ݄ Ϋϥεϝιουגࣜձࣾ"84ࣄۀຊ෦ γχΞιϦϡʔγϣϯΞʔΩςΫτɹେ܀फ
8IPBN* େ܀फ !NBSPPOTU ϝʔΧʔܥ4*FSʹ΄Ͳࡏ੶ͯ͠ લʹΫϥεϝιουʹδϣΠϯ "84ಋೖίϯαϧςΟϯάΛ ϝΠϯʹΠϯϑϥߏங
͖ͳ"84αʔϏε "NB[PO"VSPSB
EJTDMBJNFS ͝ΊΜͳ͍͞
EJTDMBJNFS ຊLT ʮre:MARSߦͬͯͳ͍͚Ͳ AI,ML,RoboticsͰLTʯͷ Ͱ͢ɻ
EJTDMBJNFS ࣮re:MARSʹߦͬͯ·ͨ͠ʂ
ͪͳΈʹ
΄ͱΜͲͷηογϣϯ ಈը͕ެ։͞Ε͍ͯ·͢
"NB[POSF."34ͷ:PV5VCFνϟϯωϧ https://www.youtube.com/channel/UCgkkeHebGYy7udnkNAeBv0w/featured
ͳͷͰ
ಈը্͕͕͍ͬͯͳ͍ࣄʹ ͍ͭͯ͠·͢
: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
: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 ༡ͼ৯ࣄ ηογϣϯྨ
: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 ༡ͼ৯ࣄ ηογϣϯྨ
,&: 0QFOJOH3FNBSLT*OOPWBUJPO4QPUMJHIUT
,&: 0QFOJOH3FNBSLT*OOPWBUJPO4QPUMJHIUT
,&: 0QFOJOH3FNBSLT*OOPWBUJPO4QPUMJHIUT
,&: 0QFOJOH3FNBSLT*OOPWBUJPO4QPUMJHIUT
,&: 0QFOJOH3FNBSLT*OOPWBUJPO4QPUMJHIUT
,&: 0QFOJOH3FNBSLT*OOPWBUJPO4QPUMJHIUT
,&: 8FEOFTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT
,&: 8FEOFTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT
"NB[PO $&0PG(MPCBM$POTVNFS
,&: 8FEOFTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT
,&: 8FEOFTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT
,&: 5IVSTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT
,&: 5IVSTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT
,&: 5IVSTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT
,&: 5IVSTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT
,&: 5IVSTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT
,&: 5IVSTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT
,&: 5IVSTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT
,&: 5IVSTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT
,&: 5IVSTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT
,&: 5IVSTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT
,&: 5IVSTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT
,&: 5IVSTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT https://dev.classmethod.jp/report/remars-keynote-jb/
,&: 5IVSTEBZ,FZOPUF*OOPWBUJPO4QPUMJHIUT
: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 ༡ͼ৯ࣄ ηογϣϯྨ
8 5VFTEBZ8PSLTIPQT
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$POUSPMGPS"OZ5IJOH 81SBDUJDBM.BDIJOF-FBSOJOH 'SPN6OMBCFMFE%BUBUPB1SPEVDUJPO.PEFM
8 5VFTEBZ8PSLTIPQT ҎԼͷ8PSLTIPQ͔Βબ 8#VJMEJOHUIF4UBSTIJQ&OUFSQSJTF$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
8SF7FHBT#MBDLKBDL
8SF7FHBT#MBDLKBDL
8SF7FHBT#MBDLKBDL
8SF7FHBT#MBDLKBDL
8SF7FHBT#MBDLKBDL
8SF7FHBT#MBDLKBDL
8SF7FHBT#MBDLKBDL
8SF7FHBT#MBDLKBDL
8SF7FHBT#MBDLKBDL
8SF7FHBT#MBDLKBDL
8SF7FHBT#MBDLKBDL https://github.com/laithalsaadoon/remars2019-revegas-workshop
8SF7FHBT#MBDLKBDL
8SF7FHBT#MBDLKBDL
8SF7FHBT#MBDLKBDL
8SF7FHBT#MBDLKBDL
8SF7FHBT#MBDLKBDL
8SF7FHBT#MBDLKBDL
8#VJME*OUFMMJHFOU"QQMJDBUJPOT2VJDLMZXJUI"84"*
8#VJME*OUFMMJHFOU"QQMJDBUJPOT2VJDLMZXJUI"84"*
8#VJME*OUFMMJHFOU"QQMJDBUJPOT2VJDLMZXJUI"84"*
8#VJME*OUFMMJHFOU"QQMJDBUJPOT2VJDLMZXJUI"84"* IUUQTBJTFSWJDFTHPBXTDPN
8#VJME*OUFMMJHFOU"QQMJDBUJPOT2VJDLMZXJUI"84"* #VJME"4PDJBM.FEJB%BTICPBSE 5XJUUFSͷ4USFBN"1*ͷ σʔλΛ$PNQSFIFOEͰ Ωʔϫʔυݕग़͢Δɻ "UIFOBͰݕࡧͯ͠ 2VJDL4JHIUͰදࣔΛߦ͏ɻ https://ai-services.go-aws.com/30_social-media-analytics/20_architecture.html
8#VJME*OUFMMJHFOU"QQMJDBUJPOT2VJDLMZXJUI"84"* #VJME"4PDJBM.FEJB%BTICPBSE https://ai-services.go-aws.com/30_social-media-analytics/60_quicksight_dashboards.html
8#VJME*OUFMMJHFOU"QQMJDBUJPOT2VJDLMZXJUI"84"* #VJMEBO"*1PXFSFE$POUBDU$FOUFS "NB[PO$POOFDUͰిΛ ड͚ΔɻԻΛ,74ܦ༝Ͱ จࣈى͜͠͠$PNQSFIFOE ͷײੳ༁ΛϦΞϧ λΠϜͰߦ͏ɻ https://ai-services.go-aws.com/40_connect-transcribe/10_overview.html
8#VJME*OUFMMJHFOU"QQMJDBUJPOT2VJDLMZXJUI"84"* #VJMEBO"*1PXFSFE$POUBDU$FOUFS https://ai-services.go-aws.com/40_connect-transcribe/50_agent-interface.html
8#VJME*OUFMMJHFOU"QQMJDBUJPOT2VJDLMZXJUI"84"* #VJMEB1FSTPOBM3FDPNNFOEBUJPO&OHJOF https://ai-services.go-aws.com/50_personalize/70_appconfig/90_pluginmodels.html
%FNP ͕࣌ؒ͋ͬͨΒ σϞ͠·͢ʂ
None