AI/DL for the Future of Smart Transportation Intumit, Inc. Herb Jiang po@intumit.com

Agenda About Intumit Trend Intumit Solution Application Scenarios Deep Learning Examples Cases

About Trend Solution Scenarios Deep Learning Cases About Intumit. Founded in 1999, a leading A.I. and big data technology company Gartner Cool Vendors in Analytics, Greater China, 2017 Microsoft Top Valuable ISV Partner, 2017 No.1 enterprise VCA brand in Taiwan Microsoft Teams global 150 partner NVIDIA Deep Learning ISV partner Numerous honors and awards from government 500+ customers in greater China area Over 20 patents worldwide CMU SEI CMMI maturity level 3 經濟部創新研究獎 與國際集團攜手合作

Microsoft Top Valuable ISV Partner About Trend Solution Scenarios Deep Learning Cases Microsoft Top Valuable ISV Partner Microsoft Top Valuable ISV, FY17 Microsoft Teams Global 150+ Partner

Gartner Cool Vendors in Analytics About Trend Solution Scenarios Deep Learning Cases Gartner Cool Vendors in Analytics Named by Gartner as Cool Vendors in Analytics, Greater China, 2017 Source:https://www.gartner.com/doc/3733917/cool-vendors-analytics-greater-china

What AI can do for Smart Transportation About Trend Solution Scenarios Deep Learning Cases What AI can do for Smart Transportation Smart Infrastructure Monitoring Smart Traffic Light and Route Recommendation Smart Driver Advisory Autonomous, driverless cars

INTUMIT A.I. Solutions SmartVision SmartWord WiVo SmartRobot About Trend Solution Scenarios Deep Learning Cases INTUMIT A.I. Solutions SmartVision SmartWord WiVo SmartRobot SmartRecommend SmartKYC SmartOMS

SmartRobot AI Platform About Trend Solution Scenarios Deep Learning Cases SmartRobot -Omni-Channel Intelligent Virtual Customer Assistant Text, Speech NLP, NLU ML, DL Vision ANN, DNN NLP API WIVO API Vision API SmartRobot AI Platform Machine Learning Smart Speaker Mobile/App/SNS Smart Branch Humanoid Robots & Digital Signage PC/NB/Web App Conversation API 24/7 AI VCA

-Deep Learning based Visual Recognition Solution About Trend Solution Scenarios Deep Learning Cases SmartVison -Deep Learning based Visual Recognition Solution Accurately identify things in images and give semantic meanings to them Turning video content into searchable assets Empower the robot vision to understand the surroundings

Intumit AI for Transportation About Trend Solution Scenarios Deep Learning Cases Intumit AI for Transportation Deep learning methods on the field of network traffic identification Traffic prediction - make predictions for the fastest route. Computer vision and accurate traffic counts could further optimize traffic light algorithms beyond what exists today

SmartRobot for Route Guide About Trend Solution Scenarios Deep Learning Cases SmartRobot for Route Guide Incorporate with various of open data about traffic and public transportation Access real-time dynamic train/bus route and estimate train/bus arriving time. Purchase tickets on line or reserve a seat for train/bus directly via conversation Suggest related events/promotion for user based on their route How can I get to Mitsui Outlet from THSR Taoyuan Station? There are 3 ways for you: Free shuttle bus Local bus Taxi Which one would you recommend? You just missed a shuttle bus. The local bus No. 98 will soon arrive in 3 minutes. I would suggest you to take the local bus. It will take you 15 minutes to get there. Great, where can I take the bus? Please wait at bus stop No.2. Here is the direction…

SmartVision for Traffic Route Optimization About Trend Solution Scenarios Deep Learning Cases SmartVision for Traffic Route Optimization 11 Traffic Monitoring Plan A: 2hr Plan B:1.5hr Plan C:2.5hr Section Analysis Data Visualization Route Suggestion Smart Traffic

Based on Deep Learning Platform About Trend Solution Scenarios Deep Learning Cases Based on Deep Learning Platform TF Learn

Based on Deep Learning Platform About Trend Solution Scenarios Deep Learning Cases Based on Deep Learning Platform Artificial Neural Networks Data Accumulation Rule Discovery Recommendation Engine User Behavior Analysis Feedback and Reinforcement Learning Text、Speech、Vision Self-Learing and Enhancement Association Rule Learning Multiple Collaborative Filtering Algorithm Context-Sensitive Word Segmentation

Virtual Customer Assistant(VCA) for Financial Services About Solution Structure Core Value Scenarios Cases Virtual Customer Assistant(VCA) for Financial Services Various Knowledge Sources Omni Channel Services(Web, Mobile Apps , Line, FB Messenger…) User Behavior Analysis 建置期間約 4 個月 ， 上線至現在未滿1個月 ，平圴每日進線人數約1000 ～1500 ，尚未正式公開宣告 後續 ： Opendata 、答案優化 、通路整合 預計6月底 帳務整合 、

Softbank Robotics Pepper Integration About Solution Structure Core Value Scenarios Cases Softbank Robotics Pepper Integration Enhance the natural language understanding capability Enable ability of various front desk services Improve customer experience and engagement

Okinawa OMOTENASHI BOT About Solution Structure Core Value Scenarios Cases Okinawa OMOTENASHI BOT Prepare for service to Chinese tourists and online shoppers Catch the huge opportunity of China’s outbound travel market

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