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Azure TechDay Party
1955 年 John McCarthy 召集對人
工智慧志同道合的夥伴,共同參與
達特矛斯夏季人工智慧研究計劃。
發想主題有:
✓ Automatic Computers
✓ How Can a Computer be Programmed to Use a
Language
✓ Neuron Nets
✓ Theory of the Size of a Calculation
✓ Self-Improvement
✓ Abstractions
✓ Randomness and Creativity
https://1drv.ms/b/s!Aiwtjhj5fofrkNBZXcZNC_X_xweqQQ
2 次 AI 寒冬
1975年的第一次 AI 寒冬
✓ 越戰、石油危機,經濟無法支持
✓ 這時的電腦又貴效能又不足,無法解決計算問題
1990年 AI 又第二次遇冷
✓ 專家知識的建立,耗費巨大成本
✓ 訓練機器學習的數據不足
自從有了雲…
這朵 雲 在世界各地都看的到也摸得著,擁有無限的計算能力
與資源,並且不斷的茁壯。
這些裝置能力發展得越來越強,Edge 邊緣運算
的想法也應運而生,越來越多的應用開始從雲端往物
聯網設備延伸。
人類的終極目標:AI 這突破性的智能功能,
強化了雲端與邊緣各種裝置。
人們從自動化運動的過程中,學會利用傳感器和 可連網的
IoT 裝置,將收集到的數據交由雲集中管理。
各式各樣的感測器,收集了龐
大的數據,物聯網 (IoT) 已經
在我們身邊悄然發生
資料科學家們有著取之不盡,
用之不竭的材料,研究並建立
有意義的知識模型
開發者們將裝置與知識結合,
打造出更勝以往的工作能力,
更快速的反應,更有效的應變
事件的變化
AI + IoT
KEY Takeaway
商業模型
解決方案數據與學習
講者介紹
Poy Chang
目前任職於全美 100 大私人企業,負責企業內部 IT 解
決方案設計與開發,專注於 Angular、ASP.NET Core、
Azure 等技術研究
✓ Angular Taiwan 社群核心成員
✓ Microsoft MVP Developer Technologies
✓ Global Azure Bootcamp@北京2018 講師
IoT
3 層架構
智慧工廠 智慧家庭 智慧交通 智慧醫療
應用層
感測器 GPS 讀碼器 攝像頭
感知層
網路層 2G 3G 4G
HTTP MQTT AMQP
智慧工廠 智慧家庭 智慧交通 智慧醫療
應用層
感測器 GPS 讀碼器 攝像頭
感知層
網路層 2G 3G 4G
HTTP MQTT AMQP
人工智慧 大數據 雲運算 機器學習
平台層
AIoT
4 層架構
AIoT
4+1層架構
感測器 GPS 讀碼器 攝像頭
感知層
網路層 3G 4G 5G
HTTP MQTT AMQP
人工智慧 大數據 雲運算 機器學習
平台層
智慧工廠 智慧家庭 智慧交通 智慧醫療
應用層
邊緣智慧
六大類應用
影像辨識 聲音辨識 自然語言
趨勢分析 深度學習 主動決策趨勢分析
成本 獲得
關鍵合作夥伴 關鍵活動 價值主張 客戶關係 目標客層
關鍵資源 通路
成本 獲得
關鍵合作夥伴 關鍵活動 價值主張 客戶關係 目標客層
關鍵資源 通路
成本
✓ 技術開發能力
✓ 人才薪資成本
✓ 系統成本
獲得
✓ 良率提高省下成本
✓ 及時管理,有效控制生產成本
關鍵合作夥伴
✓ 資料收集的設備
廠商
✓ 資料儲存方式或
設備廠商
關鍵活動
✓ 大數據系統開發
✓ 系統規劃開發與
資料收集器硬體
搭配
價值主張
✓ 透過大數據分析
提高良率
✓ 即時反應機台的
生產狀態
✓ 異常回饋
客戶關係
✓ 直接關係
目標客層
✓ 線上製造及管理
相關人員
關鍵資源
✓ 機器學習的軟體
能力
✓ 系統能力
通路
✓ 直接溝通
行動認知感知
學習循環
回饋
影像知識
語言
語音
搜尋
機器學習
認知服務
AI as a Service
認知服務
辨識
Computer Vision
臉部辨識
影片索引器
內容仲裁
自訂視覺
知識
QnA Maker
語言
文字分析
文字翻譯
Bing 拼字檢查
內容仲裁
語言理解 LUIS
語音
語音轉換文字
說話者辨識
文字轉換語音
語音翻譯
搜尋
Bing Web 搜尋
Bing 圖像式搜尋
Bing 自訂搜尋
Bing 實體搜尋
Bing 影片搜尋
Bing 新聞搜尋
Bing 影像搜尋
Bing 自動建議
https://azure.microsoft.com/zh-tw/services/cognitive-services/directory/
無法加裝感測傳輸器時…
http://poychang.github.io/use-file-system-watcher-collect-iot-log/
使用 FileSystemWatcher
監看檔案或資料夾變化
機台持續將狀態
寫入紀錄檔
學習有四種
監督式學習 非監督式學習
強化學習 深度學習
監督式學習
ML.NET
https://www.slideshare.net/alantsai2007/2018-net-conf-machine-learning-net
IoT Edge
雲端上的 IoT
✓ 遠端監控與管理
✓ 合併來自多個 IoT 的遠端數據
✓ 無限的計算力和儲存空間
邊緣的 IoT
✓ 低延遲控制與接近實時回應
✓ 協議轉換與資料標準化
✓ 數據隱私與保護智慧財產權
雲端與邊緣的協作
IoT Edge 雲端部署
✓ 透過 IoT Edge 執行階段與
IoT Hub 來提供完整的裝
置生命週期管理
✓ 組態設定的變更作業
✓ 指定特定目標裝置
✓ 部署功能模組
✓ 監控設備狀態
Azure IoT Edge Runtime
Azure IoT Edge device
擷取
資料
資料
清理
ML
IoT Edge 功能模組
✓ IoT Edge 執行階段管理所有功能模組
✓ 透過模組來擴充功能
✓ 每個模組可獨立運作
✓ 透過模組路由將數據做串接
✓ 使用 Docker 容器化技術
✓ 使用任何語言撰寫你的功能模組
✓ 低延遲的 AI 能力
Azure IoT Edge device
Azure IoT Edge Runtime
擷取
資料
Module
資料
清理
Module
ML
PresentationDevice
IoTEdgeonWindows
Collection
Gateway
Ingestion
IoT Hub
DeviceTwin
Stream
Analysis
Stream Analysis
Machine Learning
Event Hub
Storage &
Batch Analysis
Cosmos DB
SQL Database
Storage
In CloudOn GatewayOn Device
IoTEdgeonWindows
Gateway
IoT Hub
DeviceTwin
Stream Analysis
Machine Learning
Event Hub
Cosmos DB
SQL Database
Storage
藉由 Azure 儀錶板
幫助開發/維運人員
監控解決方案
藉由 Power BI 儀錶板
幫助線上使用者/管理者
監控設備狀態
Apps StoreDevices
Azure
Cloud
Feature
Module
IoT
Devices
Azure IoT Edge Module Marketplace
對於解決方案的開發者
✓探索 有認證過的功能模組
✓整合 有認證過的功能模組
對於功能模組的開發者
✓分享 有趣功能功能
✓用你的有趣功能模組 賺錢
https://azuremarketplace.microsoft.com/en-us/marketplace/apps/category/internet-of-things
更多 IoT 訊息
https://aka.ms/IoTShow https://aka.ms/IoTSchool https://github.com/Azure/iot
Sample &
Resources
Azure TechDay Party

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Azure TechDay Party - AIoT 智慧物聯網時代