Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
札幌で孤独にトイレIoTをピッチしてきた件
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
myou
October 11, 2017
Business
470
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
札幌で孤独にトイレIoTをピッチしてきた件
ある要望によりアップ。
去年とあるピッチコンテストに参加してきた話をまとめたものです。
みんなも、ピッチ、しよう!
myou
October 11, 2017
More Decks by myou
See All by myou
ゆるくカイゼンをはじめよう
myou1985
0
430
Other Decks in Business
See All in Business
大規模フロントエンド開発におけるmonorepoという選択肢
recruitengineers
PRO
2
110
事業本部紹介資料_261001
mwktp
0
590
Session 2 - Teknik Lobby dan Negosiasi
adeputra13
0
120
データ基盤を Athena _ Glue から Databricks へ移行しました - 第4回 Youは何しにDatabricksへ!?
stanby_inc
0
250
ログラス会社紹介資料 新卒採用 ビジネス職[経営幹部候補]/ Loglass Company Deck
loglass2019
2
26k
Supermarket Floral Ad Roundup Week 43
karnelson84
0
130
28新卒採用:日和山観光会社紹介
hiyoriyamakankou
0
220
アドバリスター株式会社 プロフェッショナルサービス事業
advalistar
0
18k
Clarity for Product People (short version)
arnekittler
0
440
(スライド版) 全社AI推進プロジェクト開始から半年で 組織に起きた5つの変化 〜kubellのkube-AIで見えた成果と課題〜 / ai-project-progress
takeshisumida_
1
290
AI時代、ホワイトワーカーは結局どうすれば良いのか?環境解説とOODA型キャリア戦略
makaibito
5
460
会社説明資料
xinghr
0
3.8k
Featured
See All Featured
Put a Button on it: Removing Barriers to Going Fast.
kastner
60
4.6k
Utilizing Notion as your number one productivity tool
mfonobong
4
620
Statistics for Hackers
jakevdp
799
230k
How To Stay Up To Date on Web Technology
chriscoyier
790
250k
A Soul's Torment
seathinner
8
3.8k
The Director’s Chair: Orchestrating AI for Truly Effective Learning
tmiket
1
340
JavaScript: Past, Present, and Future - NDC Porto 2020
reverentgeek
52
6.1k
VelocityConf: Rendering Performance Case Studies
addyosmani
331
25k
[Rails World 2026] Durable orchestration on Rails: from continuation to workflow
palkan
1
900
Measuring Dark Social's Impact On Conversion and Attribution
stephenakadiri
2
310
WCS-LA-2024
lcolladotor
0
910
Future Trends and Review - Lecture 12 - Web Technologies (1019888BNR)
signer
PRO
0
3.8k
Transcript
ࡳຈͰݽಠʹτΠϨ*P5 Λϐον͖ͯͨ݅͠ ෭ɿ ͨͩͷ͓ͬ͞Μ͚ͩͲɺͪΐͬͱҟੈքߦ͖ͬͯͨʢνʔτͳ͠ʣ ΏΔ͍ษڧձ ΏΔ͘8FCΛษڧ͠Α͏ˏѴ
͡Ίʹ • ຊൃදɺ࠷ۙྲྀߦΓ࢝ΊͨϐονίϯςετʹͻΐΜͳࣄ͔Β ී௨ͷ͓ͬ͞Μ͕ࢀՃͨ͠هͰ͢ • ͍͠ࣄͳ͍ͷͰɺ಄ͷதΛۭͬΆʹͯ͠ฉ͍ͯԼ͍͞ • ٕज़ཁૉ͋Γ·ͤΜബ͍Ͱ͢ 2
ࣗݾհ • ٶલ ༎ • ѴʹۈΊΔ*5ܥαϥϦʔϚϯ • ΤϯδχΞͱͯ͠࢈ഇҎԼ • ·ͱΊΔͱɺͪΐͬͱ*5ʹৄͦ͠͏ͳײ͡ͷ͓ͬ͞Μ
• ৄ͍͠ܦྺ'BDFCPPLΈͯͶʂ 3
͘͡ ংষ ͓ͬ͞Μେʹཱͭ ୈ̍ষ આͷىۀՈ ୈ̎ষ ϏδωεϞσϧ ୈ̏ষ ϝϯλʔ ऴষ
ൃදɺͦͯ͠ʜ ͨ͠ײ 4
ংষ ͓ͬ͞Μେʹཱͭ 5
ಈػ B+- 0*3%/* B7<>6?-#4:=2&&
@ A"1(3'$? B*39>(#,* (+!)3)3 $1. B5>8=;6@ -CA 6
ಈػ - " . -+%#!#+
/,* / -"#&$. -%$'$ # )+( 7
ಈػ ԿނɺఏҊ௨Βͳ͍ݟΒΕͳ͍ͷ͔ʁ •ͭ·ΜͶʔ͔ΒͩΑʂʢਅཧ Ͱ໘ന͍ఏҊͱʁ • ࣾʹྫ͕ͳ͘ɺΘ͔Βͳ͍ • ໘ന͍ఏҊ୳͠ͷཱྀʜ 8
ϐονίϯςετʁ ϐονͱɿ • ࢿՈ͔Βͷࢿۚ֫ಘͷҝɺ࣌ؒͰࣗࣾΛΞϐʔϧ͢Δ͜ ͱ • ҰൠతʹϓϨθϯΑΓ͘ɺdఔ • ͕͓ۚΛՔ͛ΔͷͰ͋ΔࣄɺܭըΛ࣮ߦ͢Δೳྗ͕͋Δ͜ ͱΛ࣌ؒͰࢿՈূ໌͠ͳ͚ΕͳΒͳ͍
9
“No Maps NEDO Dream Pitch“ with ւಓىۀՈສത • ւಓʹΏ͔Γͷ͋Δํ͕ٕज़γʔζΛݩʹ ࣄۀΛ্ཱͪ͛ΔͷΛࢧԉ͢Δίϯςετ
• ॻྨ৹ࠪΛ௨ա͢ΔͱɺίϯςετࢀՃ·Ͱʹ ηϛφʔϝϯλϦϯά͕ड͚ΒΕΔɻަ௨අग़Δʂ ʢॏཁʣ • ॻྨ৹ࠪʹམͪͯɺ ࣄۀԽʹ͚ͯͷΞυόΠε͕ड͚ΒΕΔʂʢॏཁʣ 10
େࣄͳͷ͍ τΠϨ͕ࠞΜͰͯࠔΔ͜ͱ͕ଟ͍͔ΒɺͦΕΛղܾ͠Α͏ʂ શਓྨ͔ΒτΠϨͷΈΛୣ͍ڈͬͯΔʂ -18"Ξπ͍ʂ͜ΕΖͨͰʂ ͱ͍ͬͨײ͡Ͱ࣌ؒఔͰਃॻΛॻ্͖͛ɺԠื -18"ɿϩύϫʔϫΠυΤϦΞɻిྗͰҬ௨৴͕Ͱ͖Δɻ ͓ͨͩ͠͠ɻ*P5ʹ͘ͱ͞ΕΔɻ
11
Ͱ͖͕͋ͬͨͷ 12
৹ࠪ௨աʂࡳຈ ɺԠืͨ͜͠ͱΕͯࣗͰΰϩΰϩͯ͠Δͱ̍௨ͷϝʔϧ͕ ʮॻྨ৹ࠪ௨աͷ͓Βͤʯ
13
͜͏ͯ͠ɺ͓ͬ͞ΜىۀՈ͕ͻ͠Ί͘ ҟੈքཱཱྀͭ͜ͱʹͳͬͨͷͩͬͨʜ 14
ୈ̍ষ આͷىۀՈ 15
ू߹ݚम ߨࢣɿ גࣜձࣾΧϐΦϯ දऔక ીզ ߂ ࢯ΄͔ ܦྺɿ ৽ୀ৬ޙɺؒγϦίϯόϨʔʹҠॅɻ ɺࣗࣾͷ%7%੍࡞γεςϜ
ޙͷJ%7% ͱڞʹࣗࣾΛ"QQMFʹച٫ɻ ʮަবʹδϣϒζ͕ҰਓͰ͖ͬͯͨʯ ௨শɺઆͷىۀՈɻࡀɻ 16
େࣄͳ͜ͱ λϝʹͳΔ͓͔Γ͕ͩͬͨɺগ͠ൈਮ αϓϦͰμϝɻϖΠϯΩϥʔ ௧ࡎ Λ࡞Εʂ ݸਓʹ୭ࢿ͠ͳ͍ɻόϥϯεͷྑ͍̏ਓνʔϜΛ࡞Εʂ ٕज़ऀͷΈͷूஂେاۀͷԼ͚ۀऀͱԽ͢ɻ$.0Λ୳ͤʂ
ϐονʹआΓͷσʔλ͏ͳʂσʔλࣗͰूΊΖʂ 17
લઓ • લʹʮൃද͍ͨ͠ํͲ͏ͧʯͷҊ͕ճΔ • વࢿྉͳΜ͔ͳ͍ͷͰɺேʹελόͰ࡞ʢυϠϦϯάʣ • ֖Λ։͚ͯΈΔͱɺൃදऀؚࣗΊͨͬͨνʔϜ ͔ͭࣗҎ֎શһଞΠϕϯτͰࢿྉ࡞ࡁΈ ˠϑϧϘοί ʘ
?P? ʗ ʢਫ਼ਆతμϝʔδʹΑΓ̍৸ࠐΉʣ ીզࢯίϝϯτɿ ʮτΠϨͷष͍͢Δ͕ɺۚͷ͍͕͠Ͷ͑ʯ 18
ୈ̎ষ ϏδωεϞσϧ 19
ܭը͍ͩ͡ • ͋ΒΏΔ͕Γͳ͍ͱؾͮ͘ • ·ͣҰൠతͳʮىۀʯͷྲྀΕʹԊͬͯɺܭըΛͨͯͯΈΔ ˠࣄۀܭըॻΛͭ͘Ζ͏ʂ • ࣈΛೖΕΔ͜ͱͰઆಘྗ͕૿͢ˍʮ͜͏͠ͳ͍ͱࢮ͵ʯͬͯ෦ ଛӹذ͕ݟ͑ͯ͘Δ 20
͜Μͳ͔Μ͡ 21
ࣗͱͷઓ͍ ڝ߹ௐࠪἚͷಓ • ࣗͷΞΠσΞͱͷԥΓ߹͍ʹͳΔ • ߹ʹΑͬͯϐϘοτʢൃͷసʣΛ͢Δඞཁ͕ग़ͯ͘Δ ݽಠ •
ࢀՃνʔϜͰશιϩϓϨΠ͚ࣗͩɺͱݴ͏͜ͱʹؾͮ͘ • ؒͷ୳͠ํ͕Θ͔Β͵ʜͱશવؔͳ͍ͱ͜ΖͰ৺ંΕ͔͚Δ 22
ୈ̏ষ ϝϯλʔ 23
౦େଔίϯαϧλϯτͷ࣮ྗ • ୲ͯ͘͠ΕΔϝϯλʔͷํɺຊ૯ݚͱ͍͏ίϯαϧλϯτ ձࣾͷݚڀһͰͨ͠ɻ • ౦େཧֶ෦ଔɺٕज़ίϯαϧλϯτͱݴ͏͔Γ͍͢ΤϦʔτ • ීஈେख௨৴ձࣾͳͲΛ૬खʹɺٕज़γʔζΛࣄۀԽ͢ΔͨΊͷαϙʔ τΛͨ͠Γɻ •
ଟ • ͦͯ͠Լ 24
ʮຯํʯͷཔ͠͞ • ϝϯλʔ͞Μ͋ͳͨͷʮຯํʯͰ͢ • ઈ͑ͣલ͖ͳఏҊɺΞυόΠεΛͯ͘͠Ε·͢ • ͔Βͳ͍ͱ͜Ζฉ͍ͨΒڭ͑ͯ͘Ε·͢ɻҰॹʹௐͯ͘Ε·͢ɻ • ͨͩ͠ɺେମຊۀ͕͍͠ͷͰɺʮ࣌ؒΛͿΜͲΔʯ͘Β͍ͷؾ ͕࣋ͪඞཁͰ͢ɻ
25
্͛ • ʮϋʔυશ෦Δͱɺεέʔϧ͠ͳ͍ͷͰʁʯͱ͍͏Ξυό ΠεʹΑΓɺΞϓϦʹॏΛஔ͍ͯϓϥϯΛ࡞͍ͯ͘͜͠ͱʹ • ࠞࡶදࣔػثΛഇࢭ • ಋೖϋʔυϧΛԼ͛Δ͜ͱɺڝ߹ௐࠪͷ݁Ռɺڝ߹͕·ͩͬͯ ͍ͳ͍ʮ࠷τΠϨҊʯΛॏతʹΞϐʔϧ͢Δ͜ͱʹ •
ʮ̑ʹऩΊΔʯͱݴ͏ʹҙ֎ͱۤ࿑ 26
ऴষ ൃදɺͦͯ͠ʜ 27
ίϯςετ • ։͖͍͔ͬͨͤɺख़ਭͰ͖ίϯσΟγϣϯສશʂ • ͔͠͠ίϯςετ͕࢝·Δͱʜ • ଓʑೖ͢Δஶ໊ਓͨͪ • ഭΔॱ൪ •
໌Β͔ʹQualityͷҧ͏ࢿྉͨͪ ˠϠόΠʂΊͬͪΌۓு͖ͯͨ͠ʂ 28
ۓுͷରॲ ʮΦϨམͪண͍ͯΏͬ͘ΓൃදͰ͖Δʯͱ۩ମతͳΠϝʔδΛ ޱʹग़ͯ̏͠ճʙࣗʹݴ͍ฉ͔ͤΔ ʰલͷਓͷൃදɺେͨ͜͠ͱͳ͘Ͷʁʱͱࢥ͍ࠐΉ ૣ͘ൃද͍ͨ͠ʂࠓ·ͰͷՌΛݟ͚ͤͯΔʂͱࢥ͍ࠐΉ ݁ߏམͪண͚·ͨ͠ɻಛʹ͕̍ޮՌతͰ͢ɻ 29
͍͟ൃදʂ ԼهͷΛ৺͕͚Δ͜ͱ͕Ͱ͖·ͨ͠ɻ • Ώͬ͘Γա͗Δ΄ͲΏͬ͘Γ͢ • ΞΫγϣϯΛେ͛͞ʹ͢Δ • ؍٬ΛࢀՃͤ͞Δ ձ༙͖ɺͱͯؾ࣋ͪΑ͔ͬͨͰ͢ ͔͠͠ऴ൫ɺ༻ҙͯͨ͠௨Γʹ࣭ʹճͰ͖ͳ͍ͱݴ͏େࣦଶʜPS[
30
݁ • ೦ͳ͕Βɺೖग़དྷ·ͤΜͰͨ͠ ʘ ?P? ʗ • ʮ৹ࠪһ͕ᎍΊΔ͘Β͍ΪϦΪϦͩͬͨΑʂʯͱݴΘΕ͚ͨͲʜ • ࠓ࣮ͷૉΒ͍͠νʔϜ͔ΓͰɺ్தʮ͜ΕϜϦήʔ
͡ΌͶʁʯͱࢥͬͯͨͷॹ 31
Πχϯάϥϯʢ˞ݸਓͷໝͰ͢ʣ • ൃදࣗମ͔ͳΓྑ͍ग़དྷͩͬͨ • ձͷํɺલճ༏উऀͳͲ৭Μͳํ͔ΒʮൃදࣗମҰ൪Γ্͕ͬͨΑ ͶʯͱݴΘΕͨɻ͓ͦΒ͘ձͷஆΊͰ͋ͬͨɻ • ͳ͔ͥཌͷಓ৽ʹࢲͷϐον໘ͷࣸਅ͕ࡌͬͨɻ • ͦͷޙʹग़ͨץۀ৽ฉʹͪΐͬͱհ͞Εͨɻ
32
ͨ͠ײ • ࢀՃ͢Δ͚ͩͳΒָউ ഒഒͩͬͨ • ۀքͰ༗໊ͳํͱ͓Ͱ͖ͨΓͯ͠ɺ݁ߏָ͍͠ • ೖΛࢦ͢ͳΒɺੋඇνʔϜͰ • ͰνʔϜΛ࡞Δͷͬͯɺ͍͠
͠ʮͬͯΈ͍ͨʯͬͯਓ͕͍Εαϙʔτ͠·͢ͷͰɺྑ͚Ε $POOQBTT4MBDLͰ͔͚͍ͯͩ͘͠͞ɻ 33