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20180119_AIを支えるクラウド技術

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Engineer Lab Fukuoka #1 での登壇資料です
https://www.facebook.com/events/171044080320197/

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20180119_AIを支えるクラウド技術

  1. 1. AI を支える クラウド技術 株式会社ISAO 秋山 康平
  2. 2. Who am I あきやま こうへい 秋山 康平 エンジニア Tw:kheiakiyama 好きなAzure: Web App, Functions, Logic App 好きな言語: C# 好きなエディタ: Visual Studio Code 最近読んだ本: Hit Refresh(サティア・ナデラ)
  3. 3. 開発者 ベンダー Cognitive ServiceCustom Vision Machine Learning Workbench Machine Learning Studio LUIS Cloud AutoML Vision (Google) Computer Vision API(Google) 機械学習/DLアルゴリズムを直接扱う 画像・音声・言語認識の部品として扱う Data Science VM Image Chat Bot を実現する技術 QnA Maker Bot Service ハンドリングの比重 Bot Builder SDK Azure Batch AI Training
  4. 4. 開発者がハンドリングする技術で尖らせて ベンダーマネージド技術でラクをする
  5. 5. 機械学習アルゴリズム
  6. 6. Machine Learning Studio
  7. 7. Machine Learning Workbench
  8. 8. Machine Learning Workbench • マルチプラットフォーム • Windows : https://aka.ms/azureml-wb-msi • macOS : https://aka.ms/azureml-wb-dmg • 利用されている技術 Electron Jupyter Notebook
  9. 9. Machine Learning Workbench • OSS を中心としたエコシステム上で構成
  10. 10. 画像・音声・言語認識
  11. 11. ベンダーマネージドサービス Cognitive Service を掘り下げる • Cognitive Service / Face API の場合 $ dig westus.api.cognitive.microsoft.com (省略) ;; ANSWER SECTION: westus.api.cognitive.microsoft.com. 3600 IN CNAME cognitive-wu.trafficmanager.net. cognitive-wu.trafficmanager.net. 30 IN CNAME cognitive-wu.azure-api.net. cognitive-wu.azure-api.net. 900 IN CNAME apimgmthstrxl2b0lioniaqkbwbdjwpoczy4b0w6wkwphputob.cloudapp.net. apimgmthstrxl2b0lioniaqkbwbdjwpoczy4b0w6wkwphputob.cloudapp.net. 60 IN A 40.112.254.71
  12. 12. ベンダーマネージドサービス Cognitive Service を掘り下げる • 利用されている技術 API Management (L7 のフロント, Rate Limit と API 定義管理) Traffice Manager (DNS レベルでの負荷分散) Azure Cloud Service (Web サーバーの PaaS) • Web で培われた技術から何も変わっていない 学習モデルへのアクセスを Web で提供しただけ
  13. 13. Custom Vision API を掘り下げる • 独自の画像分類機を簡単に構築 • 専用ポータルからのGUI操作 / REST API • タグ1つあたり画像数枚から学習可能、 https://blog.isao.co.jp/try-cognitive-custom-vision/
  14. 14. Custom Vision API を掘り下げる • API Management によるホスト • APIリファレンス有り、ポータルからテスト可能
  15. 15. Custom Vision API を掘り下げる • 判定結果
  16. 16. この先生き残るには OSS の流行り廃りを広く浅く追いつつ ブキとなる一部の技術にフォーカスするのがいい? ベンダーがサービス提供したら次へ
  17. 17. みなさんへのお願い • 直接あるいはパートナーやコミュニティを通じてベンダーに フィードバックをしましょう 例)日本リージョン早く出して! • 例)日本語のプライオリティが低い!
  18. 18. みなさんへのお願い • We are hiring !! 「ISAO 採用」 https://recruit.isao.co.jp/

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