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

TCCtour agenda for AliEatersOsaka

Youkey
October 04, 2018

TCCtour agenda for AliEatersOsaka

Yuichi Ohishi - SB Cloud marketing - wrote.

Youkey

October 04, 2018
Tweet

More Decks by Youkey

Other Decks in Technology

Transcript

  1. 2 2009 2011 2015 2017 ೥ ݄ ʙ೔ ͷࠃͱ஍Ҭ͔Β ສਓ͕ࢀՃͨ͠΄͔ɺ

    ͷࠃͱ஍Ҭͷ  ສਓ͕ϥΠϒ഑৴Λࢹௌͨ͠ 5IF$PNQVUJOH$POGFSFODFPG"MJCBCB$MPVEͷઆ໌
  2. BMJFBUFST AliEaters"(< 9/18 9/19 9/20 9/21 AliEaters in .' 19:00~20:30

    .'D*A% TCC 3C/9EG7@# Alipay> F Alibaba-;@# ;@#1 0+;  ;@#I Kyligence 4/=617:00-)" B 8 2H 4/=6 10:30-5: Alibaba Cloud.'TCC Alibaba-;1@#I?, $ !&
  3. BMJFBUFST Tour (15+ 2)  27% /  13% 

    20%  13%  7%  20%    , 1  , 1  , 2 , 13
  4. BMJFBUFST TCC Executive summary 7 1.,198/,1-'047OE l = ]bQ;L IeVWiIeT_

    7%.*H  >ZX#&5f`T_[,9$H )9&fBG ]bQ;S 2.SAPOP 3.City Brain 2.0(.69+ l <a^KcP dM<aAUCYN l :FjdM/69"357.95 L@RJ  l SAP Business Suite 4 SAP HANAgS/4HANAhSAP Cloud Platform O?  l Alibaba Cloud 29!9 SAP Cloud PlatformL@D\
  5. BMJFBUFST "(DX Summit&( #4!$12(3# 8 1.  -Business Middle End

    -AIMiddle End -One ID/One service/One Data 2. Alibaba Ecosystem%) -   # -Middle EndInternet# -,*- # 1. "(  ./' -      l       Alibaba Cloud CEO Simon+0
  6. BMJFBUFST SAP on Alibaba Cloud 10 1. IaaS  

    • ERP Business One • ERP S/4HANA 2. PaaS SAP HANA 3. SaaS • S/4HANA Cloud • Business ByDesign l SAP SaaS & PaaS on Alibaba Cloud Kevin Zhang Alibaba Cloud Strategy Dep. Head of SAP Cloud SAP SaaS & PaaS on Alibaba Cloud
  7. BMJFBUFST City Brain Summit ET City Brain Data Intelligence 13

     2016" Internet ! •  -19.3%  -8.2% 2017XiaoShan" Internet+Camera! • +50%-30% 2018" City Brain Transportation Data Platform! • -3.5%   l City Brain    l City BrainDeep Learning PID  
  8. BMJFBUFST 14 City Brain AI Open Platform • -! •

    Thin"0  ' , • Fat":  '*+ )& # , • "0   '*+* +. / )   l City Brain    l City BrainDeep Learning PID   City Brain AI Open Platform$ %( City Brain Summit ET City BrainData Intelligence
  9. BMJFBUFST 9/19 AliEaters TCC7( 7(1 SBC Qiu 7(2 +, SB9$

    17:30~17:45 C:602 Alibaba Cloud 10:00~12:00 C:Alibaba Cloud #-7( 13:30~17:00 SB"3 9:30~10:00 C:602 SB9$ 17:30~17:45 C:602 Alibaba Cloud 10:00~12:00 C:Alibaba Cloud #-7( 13:30~17:00 SB"3 %8Native >2 Alibaba Cloud .7( )1 AI,Bigdata,IoT !; !;&*4' % /53*<60=
  10. BMJFBUFST AliOS 18  l AliOS   l 

    AlibabaAmazon x Google AliOS
  11. BMJFBUFST 20 1. D,QM S5 DX -A)=93UVD,QM AI G ',2I

    W • -&N(/ " RK;:L O77U G4FJ • -D,QM T? S5  #"$% %!$* 1> 2. 1B -Alibaba AI Lab.938+ D ,QM"$<6 l Alibaba   l  !!  938+ D,QM""$?E>0 AI Summit D,QMX$#@C.H@C P-
  12. BMJFBUFST AI Summit1%*4 Volvo/" 21 1. Tmall&2 CAR AI+ ,$

    • Tmall&2HCI(.  • ' )(#+- • 3!"  ! •    2. VolvoBenzBMWAudi /"0 l Tmall CAR AI+   l  VolvoTmall   1%*
  13. BMJFBUFST /306)3*Apsara Stack 34 Apsara Stack!5'+(2$5%6 1. Apsara Stack 2.0

    Alibaba Cloud,.4& /306)< >J#%& < API8C;H 2. Apsara Stack Demo Center Intel#15"6Apsara Stack Demo CenterPN 3. L?DC8 DR(2 7 DCQBI 6# (2MDataV36) KEOCGDR: DC9@?10F9@A =-(M
  14. BMJFBUFST ,2E AI!SL76F% 35 1. Machine Learning*"Q:*R • < 

     • DMIJ • #+=8 0 2.   3. ?@19/> • PKGH$. • 45I>,) 6. CO (  BQ' 3NA;& -&R 7. etc l AI  l #% l !AI $'&' MI("
  15. BMJFBUFST 36 1. DeepStream SDK 2.0 -'*+Deep Learning &$/! Framework

    2.  #, • Tesla  (") • Jetson  ()-") 3. Framework #, • CUDA9.2 • TensorRT4.0 • GStreamer1.8.3 l Alibaba GroupNVIDIA!!! l  Taobao Cainiao !    DeepStream*+ NVIDIA SummitAI%(  .!
  16. BMJFBUFST BMJFBUFST 1 ”+&” 1  "#   

    Alibaba   ! Alibaba ,.-3  2'/ %)*$No.1 Alibaba,.0(
  17. BMJFBUFST Alibaba Cloud # 40 1. Alibaba Cloud # Alibaba

    HQ CC,- * % Alibaba Cloud & #  2. $" (!  HQ+ (! $"*% ' ) Alibaba Cloud & (! 
  18. BMJFBUFST 07 %0!`N d9/18 Agendae 954(D =J Bigdata"52:38^A 9<[PHWiFi.7:-@ZaW>E 案件1)データ可視化

    © 2018 Shanghai New Seagull Software Co.,Ltd 24 アリクラウドのDataVデータ可視化ソリューションを利用し、ビッグスクリーン上でリアルタイムに客流デ ータを表示します。 22 案件1)客流データの収集 © 2018 Shanghai New Seagull Software Co.,Ltd Wi-Fiスポット範囲内のクライアントデバイスのWi-Fi電波を検知しますが、 それだけでは入店顧客かどうかの判断ができません。 システム上の対策として「受信信号強度と受信時間により選別」を行うことで入店判断を行います。 ※建物の内部構造等により、顧客判断基準となる閾値は変化する為、事前調査が必要になることがあります。 受 信 信 号 強 度 受信時間 非顧客 顧客 (秒) (-dbm) 入店判断概念図 イメージ図 SB4(*:'): UV TLXB/:' CY <[ =J Top10G?bMN\]cS300;@IK Grand Gateway Plaza 3$,81:6@ZaWL+$&:#"52:38RF O_Q 
  19. BMJFBUFST ,ZMJHFODF ˔ ೥ɺ"QBDI ,ZMJOͷίΞϝϯόʔ͕࡞ͬ ͨձࣾ ˔ ैۀһ਺໿ਓ ˔ "QBDI

    ,ZMJOϕʔεͷΤϯλϓϥΠζ൛ͱΫϥ ΢υ൛ɺٕज़αϙʔτɺϓϩϑΣογϣφϧαʔ ϏεΛఏڙ ˔ ੈքத།Ұ"QBDIF,ZMJOͷϏδωεαϙʔτ Λఏڙ ˔ )BEPPQϕʔεͷ0-"1πʔϧ ෼ੳΤϯδϯ ˔ தࠃॳͷτοϓϨϕϧϓϩδΣΫτ ˔ ੈքதʹ ϦʔσΟϯάΧϯύχʔ͕ར༻த 
  20. BMJFBUFST KyligencefO http://kyligence.io/ Aab^` ?5>)?&4, -?*h[Apache Kylin">% 1BTc@ 6>+9?F\2016Sic$=?'B<>/Uk >%1Ng]-?*(,.mjJ_Le

    Big Data Analytics)=: ?$;>WHYZYahoo JapanQI <9/21 Agenda> Alibaba CloudK` BigData)=:?$;>CGdE YZRl#7?.3?.0?F\V  DM4%2&8,+>!PX
  21. BMJFBUFST $"!'(  ! Alibaba#* )    &

    SUMMIT HIGHLIGHTS  https://www.alibabacloud.com/the-computing-conference-2018 the computing conference 2018 %&