SlideShare ist ein Scribd-Unternehmen logo

Alibaba Cloud AI Solutions - ET Brain

Eficode
Eficode
EficodeMarketing Communications Manager at Eficode Oy um Eficode

Xuan Jin Head of Cloud Architects – Alibaba Cloud UK Xuan Jin is an experienced solutions architect and technology evangelist. He then started his career in software engineering in Oracle UK and progressed to tech lead in software engineering and SRE in companies including Cisco.

Alibaba Cloud AI Solutions - ET Brain

1 von 18
Alibaba Cloud AI Solutions – ET Brain
Xuan Jin
Lead Solutions Architect
The Birth of ET Brains
2017.122017.062017.032016.102016.082016.04
Small Ai
ET Debut
ET City Brain
ET Industry Brain
ET Environment Brain
ET Aviation Brain
2018.6
ET Agriculture Brain
ET City Brain
Kuala Lumpur HangZhou ChongQing SuZhou Macau
The Structure of ET City Brain
Big Screen Dashboard
Data Resource
Monitoring
Crowd Distribution
Data Interface Service
3. Intelligent Algorithm Platform
Public Transport
Capacity Estimation
Traffic Video Analysis Road Network Modeling
Bus Stop Analysis Route Assessment Route Optimization
Vehicle Behavior
Modeling
Traffic condition
Forecasting
Traffic Strategy
Optimization
Buses
Taxis
Trucks
Shuttle Buses
Surveilance
System
Traffic Lights
Traffic Light
Control System
视
频
数
据
Images
Traffic Data
Computing
Cluster
Police Video
Network
Traffic Light
Control Systm
Traffic
Management
Taxi
Management
System
Management
Network
Internet
Companies
Map Data Traffic Data
Public Bus
Companies
Bus
Scheduling
System
Telecom
Companies
Traffic Light
Optimization
Private Wire
Intersection
Data
Network
Gateway
Real-Time
GPS Data
Historical
GPS Data
AP
Historical Data
Bus GPS
Historical Data
Bus GPS
Real-Time Data
Map Data
Videos
Command Center
Real-Time
Road Conditions Analysis
4. Intelligent Application Platform
2. Data Fusion Platform
Data Standard Physical Modeling Index Calculation Data Directory
Data Integration Data Cleaning Data Exchange Data Security
Bus
GPS Data
Map
Data
AP
Data
Bus
Route Data
Shuttle Bus
GPS Data
Traffic Light
Historical Data
Video / Image
Data
Taxi
GPS Data
Special Vehicle
GPS Data
Traffic
Data
AP
1. Data Collection Platform
Amap
China Mobile
China Unicom
Electronic
Police
System
Traffic Police
Department
1
2
3
4
5
Traffic Signal Optimization
ET City Brain
On-demand Green Wave for Ambulance
Downtown Hangzhou
500+ incident reports daily with 92% accuracy from video analysis
Average passing time dropped by 15.3%
Xiaoshan District
Average driving speed increased by 15%
Response time of emergency vehicles shortened by 50%
Su Zhou
Passenger volume increased by 17% on trial bus routes
Event Perception: Illegal Driving and Accidents
Suzhou City Brain

Recomendados

Alibaba Cloud’s ET City Brain - Empowering Cities to Think
Alibaba Cloud’s ET City Brain - Empowering Cities to ThinkAlibaba Cloud’s ET City Brain - Empowering Cities to Think
Alibaba Cloud’s ET City Brain - Empowering Cities to ThinkAlibaba Cloud
 
Locations big data its
Locations big data itsLocations big data its
Locations big data itsGeoMedeelel
 
Intelligent Transport Systems in Hong Kong
Intelligent Transport Systems in Hong KongIntelligent Transport Systems in Hong Kong
Intelligent Transport Systems in Hong KongCharles Mok
 
ITS and its history
ITS and its historyITS and its history
ITS and its historyIzhar Ullah
 
Artificial intelligence in transportation system
Artificial intelligence in transportation systemArtificial intelligence in transportation system
Artificial intelligence in transportation systemPoojaBele1
 
Big Data and Intel® Intelligent Systems Solution for Intelligent transportation
Big Data and Intel® Intelligent Systems Solution for Intelligent transportationBig Data and Intel® Intelligent Systems Solution for Intelligent transportation
Big Data and Intel® Intelligent Systems Solution for Intelligent transportationOdinot Stanislas
 

Más contenido relacionado

Was ist angesagt?

Are we giving BRT passengers what they want?
Are we giving BRT passengers what they want?Are we giving BRT passengers what they want?
Are we giving BRT passengers what they want?Tristan Wiggill
 
New Technologies to Shape The Future of Transport - It’s About the Data - Dav...
New Technologies to Shape The Future of Transport - It’s About the Data - Dav...New Technologies to Shape The Future of Transport - It’s About the Data - Dav...
New Technologies to Shape The Future of Transport - It’s About the Data - Dav...WRI Ross Center for Sustainable Cities
 
Open tech The Quest for Open Rail Data
Open tech The Quest for Open Rail DataOpen tech The Quest for Open Rail Data
Open tech The Quest for Open Rail DataJonathan Raper
 
7 Safety +1 COVID-19 Protection Lines
7 Safety +1 COVID-19 Protection Lines7 Safety +1 COVID-19 Protection Lines
7 Safety +1 COVID-19 Protection LinesJun Steed Huang
 
CUD Seoul - Smart Transportation Program
CUD Seoul  - Smart Transportation ProgramCUD Seoul  - Smart Transportation Program
CUD Seoul - Smart Transportation ProgramShane Mitchell
 
Transportation service innovation through big data
Transportation service innovation through big data Transportation service innovation through big data
Transportation service innovation through big data cityprojectdevelopment
 
Vehicle detection by using rear parts and tracking system
Vehicle detection by using rear parts and tracking systemVehicle detection by using rear parts and tracking system
Vehicle detection by using rear parts and tracking systemeSAT Journals
 
Importance of GIS and Remote Sensing in Modern Intelligent Transport System
Importance of GIS and Remote Sensing in Modern Intelligent Transport SystemImportance of GIS and Remote Sensing in Modern Intelligent Transport System
Importance of GIS and Remote Sensing in Modern Intelligent Transport SystemKam Raju
 
Smart City: Intelligent Traffic Management System
Smart City: Intelligent Traffic Management SystemSmart City: Intelligent Traffic Management System
Smart City: Intelligent Traffic Management SystemSuhas Motwani
 
IRJET- Traffic Congestion at Toll Plaza: A Case Study of Khed-Shivapur, Pune
IRJET-  	  Traffic Congestion at Toll Plaza: A Case Study of Khed-Shivapur, PuneIRJET-  	  Traffic Congestion at Toll Plaza: A Case Study of Khed-Shivapur, Pune
IRJET- Traffic Congestion at Toll Plaza: A Case Study of Khed-Shivapur, PuneIRJET Journal
 
IRJET- Smart Parking System using Internet of Things Technology
IRJET- Smart Parking System using Internet of Things TechnologyIRJET- Smart Parking System using Internet of Things Technology
IRJET- Smart Parking System using Internet of Things TechnologyIRJET Journal
 
Tutorial on AI-based Analytics in Traffic Management
Tutorial on AI-based Analytics in Traffic ManagementTutorial on AI-based Analytics in Traffic Management
Tutorial on AI-based Analytics in Traffic ManagementBiplav Srivastava
 
SC4 Workshop 1: Roberto Baldessari: The use of big data for public transport ...
SC4 Workshop 1: Roberto Baldessari: The use of big data for public transport ...SC4 Workshop 1: Roberto Baldessari: The use of big data for public transport ...
SC4 Workshop 1: Roberto Baldessari: The use of big data for public transport ...BigData_Europe
 
Innovations in London's Transport: Big Data for a Better Customer Service
Innovations in London's Transport: Big Data for a Better Customer ServiceInnovations in London's Transport: Big Data for a Better Customer Service
Innovations in London's Transport: Big Data for a Better Customer ServiceGovnet Events
 
Presentatie carlo vd weijer, tom tom
Presentatie carlo vd weijer, tom tomPresentatie carlo vd weijer, tom tom
Presentatie carlo vd weijer, tom tom#devdate
 

Was ist angesagt? (20)

BMTC Intelligent Transport System
BMTC Intelligent Transport SystemBMTC Intelligent Transport System
BMTC Intelligent Transport System
 
Are we giving BRT passengers what they want?
Are we giving BRT passengers what they want?Are we giving BRT passengers what they want?
Are we giving BRT passengers what they want?
 
New Technologies to Shape The Future of Transport - It’s About the Data - Dav...
New Technologies to Shape The Future of Transport - It’s About the Data - Dav...New Technologies to Shape The Future of Transport - It’s About the Data - Dav...
New Technologies to Shape The Future of Transport - It’s About the Data - Dav...
 
Open tech The Quest for Open Rail Data
Open tech The Quest for Open Rail DataOpen tech The Quest for Open Rail Data
Open tech The Quest for Open Rail Data
 
7 Safety +1 COVID-19 Protection Lines
7 Safety +1 COVID-19 Protection Lines7 Safety +1 COVID-19 Protection Lines
7 Safety +1 COVID-19 Protection Lines
 
CUD Seoul - Smart Transportation Program
CUD Seoul  - Smart Transportation ProgramCUD Seoul  - Smart Transportation Program
CUD Seoul - Smart Transportation Program
 
Transportation service innovation through big data
Transportation service innovation through big data Transportation service innovation through big data
Transportation service innovation through big data
 
Autonomous bus
Autonomous busAutonomous bus
Autonomous bus
 
Vehicle detection by using rear parts and tracking system
Vehicle detection by using rear parts and tracking systemVehicle detection by using rear parts and tracking system
Vehicle detection by using rear parts and tracking system
 
Importance of GIS and Remote Sensing in Modern Intelligent Transport System
Importance of GIS and Remote Sensing in Modern Intelligent Transport SystemImportance of GIS and Remote Sensing in Modern Intelligent Transport System
Importance of GIS and Remote Sensing in Modern Intelligent Transport System
 
Smart City: Intelligent Traffic Management System
Smart City: Intelligent Traffic Management SystemSmart City: Intelligent Traffic Management System
Smart City: Intelligent Traffic Management System
 
IRJET- Traffic Congestion at Toll Plaza: A Case Study of Khed-Shivapur, Pune
IRJET-  	  Traffic Congestion at Toll Plaza: A Case Study of Khed-Shivapur, PuneIRJET-  	  Traffic Congestion at Toll Plaza: A Case Study of Khed-Shivapur, Pune
IRJET- Traffic Congestion at Toll Plaza: A Case Study of Khed-Shivapur, Pune
 
IRJET- Smart Parking System using Internet of Things Technology
IRJET- Smart Parking System using Internet of Things TechnologyIRJET- Smart Parking System using Internet of Things Technology
IRJET- Smart Parking System using Internet of Things Technology
 
Tutorial on AI-based Analytics in Traffic Management
Tutorial on AI-based Analytics in Traffic ManagementTutorial on AI-based Analytics in Traffic Management
Tutorial on AI-based Analytics in Traffic Management
 
SC4 Workshop 1: Roberto Baldessari: The use of big data for public transport ...
SC4 Workshop 1: Roberto Baldessari: The use of big data for public transport ...SC4 Workshop 1: Roberto Baldessari: The use of big data for public transport ...
SC4 Workshop 1: Roberto Baldessari: The use of big data for public transport ...
 
Truck Platooning at TTI
Truck Platooning at TTI Truck Platooning at TTI
Truck Platooning at TTI
 
Innovations in London's Transport: Big Data for a Better Customer Service
Innovations in London's Transport: Big Data for a Better Customer ServiceInnovations in London's Transport: Big Data for a Better Customer Service
Innovations in London's Transport: Big Data for a Better Customer Service
 
I.T.S
I.T.SI.T.S
I.T.S
 
Presentatie carlo vd weijer, tom tom
Presentatie carlo vd weijer, tom tomPresentatie carlo vd weijer, tom tom
Presentatie carlo vd weijer, tom tom
 
Dynamic ridesharing
Dynamic ridesharingDynamic ridesharing
Dynamic ridesharing
 

Ähnlich wie Alibaba Cloud AI Solutions - ET Brain

Xuan Jin, Senior Evangelist, Alibaba Cloud International - Data technology en...
Xuan Jin, Senior Evangelist, Alibaba Cloud International - Data technology en...Xuan Jin, Senior Evangelist, Alibaba Cloud International - Data technology en...
Xuan Jin, Senior Evangelist, Alibaba Cloud International - Data technology en...Techsylvania
 
Ppt It In Manufacturing Industries 09 2000
Ppt It In Manufacturing Industries 09 2000Ppt It In Manufacturing Industries 09 2000
Ppt It In Manufacturing Industries 09 2000FNian
 
MODULE 1.pdf
MODULE 1.pdfMODULE 1.pdf
MODULE 1.pdfAnithaMC6
 
Jorge Sebastiao "Using AI for Smart traffic Management"
Jorge Sebastiao "Using AI for Smart traffic Management"Jorge Sebastiao "Using AI for Smart traffic Management"
Jorge Sebastiao "Using AI for Smart traffic Management"Lviv Startup Club
 
Simplified Machine Learning Architecture with an Event Streaming Platform (Ap...
Simplified Machine Learning Architecture with an Event Streaming Platform (Ap...Simplified Machine Learning Architecture with an Event Streaming Platform (Ap...
Simplified Machine Learning Architecture with an Event Streaming Platform (Ap...Kai Wähner
 
SMART SOLUTION FOR RESOLVING HEAVY TRAFFIC USING IOT
SMART SOLUTION FOR RESOLVING HEAVY TRAFFIC USING IOTSMART SOLUTION FOR RESOLVING HEAVY TRAFFIC USING IOT
SMART SOLUTION FOR RESOLVING HEAVY TRAFFIC USING IOTIRJET Journal
 
TrafikSense: Intelligent adaptive traffic signal
TrafikSense: Intelligent adaptive traffic signalTrafikSense: Intelligent adaptive traffic signal
TrafikSense: Intelligent adaptive traffic signalNavneet kumar
 
Key Imperatives for the CIO in Digital Age By Lalatendu Das Digital VP, Assoc...
Key Imperatives for the CIO in Digital Age By Lalatendu Das Digital VP, Assoc...Key Imperatives for the CIO in Digital Age By Lalatendu Das Digital VP, Assoc...
Key Imperatives for the CIO in Digital Age By Lalatendu Das Digital VP, Assoc...Rahul Neel Mani
 
Big data and public transport
Big data and public transportBig data and public transport
Big data and public transportTristan Wiggill
 
Ai and traffic management application v1.0
Ai and traffic management application v1.0Ai and traffic management application v1.0
Ai and traffic management application v1.0Jorge Sebastiao
 
ESWC SS 2012 - Tuesday Keynote John Domingue: Services, Semantics and Linked ...
ESWC SS 2012 - Tuesday Keynote John Domingue: Services, Semantics and Linked ...ESWC SS 2012 - Tuesday Keynote John Domingue: Services, Semantics and Linked ...
ESWC SS 2012 - Tuesday Keynote John Domingue: Services, Semantics and Linked ...eswcsummerschool
 
IRJET- Toll Collection Automation
IRJET-  	  Toll Collection AutomationIRJET-  	  Toll Collection Automation
IRJET- Toll Collection AutomationIRJET Journal
 
Traffic-O-meter - Traffic Optimization using GPS data
Traffic-O-meter - Traffic Optimization using GPS data Traffic-O-meter - Traffic Optimization using GPS data
Traffic-O-meter - Traffic Optimization using GPS data Saiyad Rasikh
 
Real time analytics in Azure IoT
Real time analytics in Azure IoT Real time analytics in Azure IoT
Real time analytics in Azure IoT Sam Vanhoutte
 
Baseride Technologies - solutions for smart transportation & logistics
Baseride Technologies - solutions for smart transportation & logisticsBaseride Technologies - solutions for smart transportation & logistics
Baseride Technologies - solutions for smart transportation & logisticsEvgeni
 
Simulation and optimization of dynamic ridesharing services
Simulation and optimization of dynamic ridesharing servicesSimulation and optimization of dynamic ridesharing services
Simulation and optimization of dynamic ridesharing servicesMahdi Zarg Ayouna
 
A Report On Vehicle Cloud Computing
A Report On Vehicle Cloud ComputingA Report On Vehicle Cloud Computing
A Report On Vehicle Cloud ComputingEmily James
 
Practices of AI guided traffic analysis
Practices of AI guided traffic analysisPractices of AI guided traffic analysis
Practices of AI guided traffic analysisJumpingJaq
 
The Future of Financial Information Services
The Future of Financial Information ServicesThe Future of Financial Information Services
The Future of Financial Information ServicesAmish Gandhi
 

Ähnlich wie Alibaba Cloud AI Solutions - ET Brain (20)

Xuan Jin, Senior Evangelist, Alibaba Cloud International - Data technology en...
Xuan Jin, Senior Evangelist, Alibaba Cloud International - Data technology en...Xuan Jin, Senior Evangelist, Alibaba Cloud International - Data technology en...
Xuan Jin, Senior Evangelist, Alibaba Cloud International - Data technology en...
 
Ppt It In Manufacturing Industries 09 2000
Ppt It In Manufacturing Industries 09 2000Ppt It In Manufacturing Industries 09 2000
Ppt It In Manufacturing Industries 09 2000
 
MODULE 1.pdf
MODULE 1.pdfMODULE 1.pdf
MODULE 1.pdf
 
Jorge Sebastiao "Using AI for Smart traffic Management"
Jorge Sebastiao "Using AI for Smart traffic Management"Jorge Sebastiao "Using AI for Smart traffic Management"
Jorge Sebastiao "Using AI for Smart traffic Management"
 
The Internet of Things
The Internet of ThingsThe Internet of Things
The Internet of Things
 
Simplified Machine Learning Architecture with an Event Streaming Platform (Ap...
Simplified Machine Learning Architecture with an Event Streaming Platform (Ap...Simplified Machine Learning Architecture with an Event Streaming Platform (Ap...
Simplified Machine Learning Architecture with an Event Streaming Platform (Ap...
 
SMART SOLUTION FOR RESOLVING HEAVY TRAFFIC USING IOT
SMART SOLUTION FOR RESOLVING HEAVY TRAFFIC USING IOTSMART SOLUTION FOR RESOLVING HEAVY TRAFFIC USING IOT
SMART SOLUTION FOR RESOLVING HEAVY TRAFFIC USING IOT
 
TrafikSense: Intelligent adaptive traffic signal
TrafikSense: Intelligent adaptive traffic signalTrafikSense: Intelligent adaptive traffic signal
TrafikSense: Intelligent adaptive traffic signal
 
Key Imperatives for the CIO in Digital Age By Lalatendu Das Digital VP, Assoc...
Key Imperatives for the CIO in Digital Age By Lalatendu Das Digital VP, Assoc...Key Imperatives for the CIO in Digital Age By Lalatendu Das Digital VP, Assoc...
Key Imperatives for the CIO in Digital Age By Lalatendu Das Digital VP, Assoc...
 
Big data and public transport
Big data and public transportBig data and public transport
Big data and public transport
 
Ai and traffic management application v1.0
Ai and traffic management application v1.0Ai and traffic management application v1.0
Ai and traffic management application v1.0
 
ESWC SS 2012 - Tuesday Keynote John Domingue: Services, Semantics and Linked ...
ESWC SS 2012 - Tuesday Keynote John Domingue: Services, Semantics and Linked ...ESWC SS 2012 - Tuesday Keynote John Domingue: Services, Semantics and Linked ...
ESWC SS 2012 - Tuesday Keynote John Domingue: Services, Semantics and Linked ...
 
IRJET- Toll Collection Automation
IRJET-  	  Toll Collection AutomationIRJET-  	  Toll Collection Automation
IRJET- Toll Collection Automation
 
Traffic-O-meter - Traffic Optimization using GPS data
Traffic-O-meter - Traffic Optimization using GPS data Traffic-O-meter - Traffic Optimization using GPS data
Traffic-O-meter - Traffic Optimization using GPS data
 
Real time analytics in Azure IoT
Real time analytics in Azure IoT Real time analytics in Azure IoT
Real time analytics in Azure IoT
 
Baseride Technologies - solutions for smart transportation & logistics
Baseride Technologies - solutions for smart transportation & logisticsBaseride Technologies - solutions for smart transportation & logistics
Baseride Technologies - solutions for smart transportation & logistics
 
Simulation and optimization of dynamic ridesharing services
Simulation and optimization of dynamic ridesharing servicesSimulation and optimization of dynamic ridesharing services
Simulation and optimization of dynamic ridesharing services
 
A Report On Vehicle Cloud Computing
A Report On Vehicle Cloud ComputingA Report On Vehicle Cloud Computing
A Report On Vehicle Cloud Computing
 
Practices of AI guided traffic analysis
Practices of AI guided traffic analysisPractices of AI guided traffic analysis
Practices of AI guided traffic analysis
 
The Future of Financial Information Services
The Future of Financial Information ServicesThe Future of Financial Information Services
The Future of Financial Information Services
 

Mehr von Eficode

Saving money with Consolidations
Saving money with ConsolidationsSaving money with Consolidations
Saving money with ConsolidationsEficode
 
DevOps Automation with Puppet Bolt & Puppet Enterprise
DevOps Automation with Puppet Bolt & Puppet EnterpriseDevOps Automation with Puppet Bolt & Puppet Enterprise
DevOps Automation with Puppet Bolt & Puppet EnterpriseEficode
 
Scaling DevOps: Pitfalls to avoid
Scaling DevOps: Pitfalls to avoidScaling DevOps: Pitfalls to avoid
Scaling DevOps: Pitfalls to avoidEficode
 
Microservices, IoT, DevOps: A Case Study
Microservices, IoT, DevOps: A Case StudyMicroservices, IoT, DevOps: A Case Study
Microservices, IoT, DevOps: A Case StudyEficode
 
Building a Knowledge Graph at Zalando
Building a Knowledge Graph at ZalandoBuilding a Knowledge Graph at Zalando
Building a Knowledge Graph at ZalandoEficode
 
How to build the Cloud Native applications the way you want – not the way the...
How to build the Cloud Native applications the way you want – not the way the...How to build the Cloud Native applications the way you want – not the way the...
How to build the Cloud Native applications the way you want – not the way the...Eficode
 
The Future of Enterprise Applications is Serverless
The Future of Enterprise Applications is ServerlessThe Future of Enterprise Applications is Serverless
The Future of Enterprise Applications is ServerlessEficode
 
Why Serverless is scary without DevSecOps and Observability
Why Serverless is scary without DevSecOps and ObservabilityWhy Serverless is scary without DevSecOps and Observability
Why Serverless is scary without DevSecOps and ObservabilityEficode
 
Securing Modern Applications: The Data Behind DevSecOps
Securing Modern Applications: The Data Behind DevSecOpsSecuring Modern Applications: The Data Behind DevSecOps
Securing Modern Applications: The Data Behind DevSecOpsEficode
 
Secure your Azure and DevOps in a smart way
Secure your Azure and DevOps in a smart waySecure your Azure and DevOps in a smart way
Secure your Azure and DevOps in a smart wayEficode
 
Can I Contain This?
Can I Contain This?Can I Contain This?
Can I Contain This?Eficode
 
The Mono-repo – a contradiction with Microservices
The Mono-repo – a contradiction with MicroservicesThe Mono-repo – a contradiction with Microservices
The Mono-repo – a contradiction with MicroservicesEficode
 
Using Go in DevOps
Using Go in DevOpsUsing Go in DevOps
Using Go in DevOpsEficode
 
Why Should You Be Thinking About DesignOps?
Why Should You Be Thinking About DesignOps?Why Should You Be Thinking About DesignOps?
Why Should You Be Thinking About DesignOps?Eficode
 
A beginners guide to scaling DevOps
A beginners guide to scaling DevOpsA beginners guide to scaling DevOps
A beginners guide to scaling DevOpsEficode
 
From Zero to SAFe
From Zero to SAFeFrom Zero to SAFe
From Zero to SAFeEficode
 
Bringing value to the business and for your customer through DevOps
Bringing value to the business and for your customer through DevOpsBringing value to the business and for your customer through DevOps
Bringing value to the business and for your customer through DevOpsEficode
 
Disconnected Pipelines: The Missing Link
Disconnected Pipelines: The Missing LinkDisconnected Pipelines: The Missing Link
Disconnected Pipelines: The Missing LinkEficode
 
The Best & Worst Uses of AI in Software Testing
The Best & Worst Uses of AI in Software TestingThe Best & Worst Uses of AI in Software Testing
The Best & Worst Uses of AI in Software TestingEficode
 
Model-based programming and AI-assisted software development
Model-based programming and AI-assisted software developmentModel-based programming and AI-assisted software development
Model-based programming and AI-assisted software developmentEficode
 

Mehr von Eficode (20)

Saving money with Consolidations
Saving money with ConsolidationsSaving money with Consolidations
Saving money with Consolidations
 
DevOps Automation with Puppet Bolt & Puppet Enterprise
DevOps Automation with Puppet Bolt & Puppet EnterpriseDevOps Automation with Puppet Bolt & Puppet Enterprise
DevOps Automation with Puppet Bolt & Puppet Enterprise
 
Scaling DevOps: Pitfalls to avoid
Scaling DevOps: Pitfalls to avoidScaling DevOps: Pitfalls to avoid
Scaling DevOps: Pitfalls to avoid
 
Microservices, IoT, DevOps: A Case Study
Microservices, IoT, DevOps: A Case StudyMicroservices, IoT, DevOps: A Case Study
Microservices, IoT, DevOps: A Case Study
 
Building a Knowledge Graph at Zalando
Building a Knowledge Graph at ZalandoBuilding a Knowledge Graph at Zalando
Building a Knowledge Graph at Zalando
 
How to build the Cloud Native applications the way you want – not the way the...
How to build the Cloud Native applications the way you want – not the way the...How to build the Cloud Native applications the way you want – not the way the...
How to build the Cloud Native applications the way you want – not the way the...
 
The Future of Enterprise Applications is Serverless
The Future of Enterprise Applications is ServerlessThe Future of Enterprise Applications is Serverless
The Future of Enterprise Applications is Serverless
 
Why Serverless is scary without DevSecOps and Observability
Why Serverless is scary without DevSecOps and ObservabilityWhy Serverless is scary without DevSecOps and Observability
Why Serverless is scary without DevSecOps and Observability
 
Securing Modern Applications: The Data Behind DevSecOps
Securing Modern Applications: The Data Behind DevSecOpsSecuring Modern Applications: The Data Behind DevSecOps
Securing Modern Applications: The Data Behind DevSecOps
 
Secure your Azure and DevOps in a smart way
Secure your Azure and DevOps in a smart waySecure your Azure and DevOps in a smart way
Secure your Azure and DevOps in a smart way
 
Can I Contain This?
Can I Contain This?Can I Contain This?
Can I Contain This?
 
The Mono-repo – a contradiction with Microservices
The Mono-repo – a contradiction with MicroservicesThe Mono-repo – a contradiction with Microservices
The Mono-repo – a contradiction with Microservices
 
Using Go in DevOps
Using Go in DevOpsUsing Go in DevOps
Using Go in DevOps
 
Why Should You Be Thinking About DesignOps?
Why Should You Be Thinking About DesignOps?Why Should You Be Thinking About DesignOps?
Why Should You Be Thinking About DesignOps?
 
A beginners guide to scaling DevOps
A beginners guide to scaling DevOpsA beginners guide to scaling DevOps
A beginners guide to scaling DevOps
 
From Zero to SAFe
From Zero to SAFeFrom Zero to SAFe
From Zero to SAFe
 
Bringing value to the business and for your customer through DevOps
Bringing value to the business and for your customer through DevOpsBringing value to the business and for your customer through DevOps
Bringing value to the business and for your customer through DevOps
 
Disconnected Pipelines: The Missing Link
Disconnected Pipelines: The Missing LinkDisconnected Pipelines: The Missing Link
Disconnected Pipelines: The Missing Link
 
The Best & Worst Uses of AI in Software Testing
The Best & Worst Uses of AI in Software TestingThe Best & Worst Uses of AI in Software Testing
The Best & Worst Uses of AI in Software Testing
 
Model-based programming and AI-assisted software development
Model-based programming and AI-assisted software developmentModel-based programming and AI-assisted software development
Model-based programming and AI-assisted software development
 

Último

Introduction to Serverless with AWS Lambda in C#.pptx
Introduction to Serverless with AWS Lambda in C#.pptxIntroduction to Serverless with AWS Lambda in C#.pptx
Introduction to Serverless with AWS Lambda in C#.pptxBrandon Minnick, MBA
 
Curtain Module Manual Zigbee Neo CS01-1C.pdf
Curtain Module Manual Zigbee Neo CS01-1C.pdfCurtain Module Manual Zigbee Neo CS01-1C.pdf
Curtain Module Manual Zigbee Neo CS01-1C.pdfDomotica daVinci
 
Q1 Memory Fabric Forum: Intel Enabling Compute Express Link (CXL)
Q1 Memory Fabric Forum: Intel Enabling Compute Express Link (CXL)Q1 Memory Fabric Forum: Intel Enabling Compute Express Link (CXL)
Q1 Memory Fabric Forum: Intel Enabling Compute Express Link (CXL)Memory Fabric Forum
 
Power of 2024 - WITforce Odyssey.pptx.pdf
Power of 2024 - WITforce Odyssey.pptx.pdfPower of 2024 - WITforce Odyssey.pptx.pdf
Power of 2024 - WITforce Odyssey.pptx.pdfkatalinjordans1
 
DNA LIGASE BIOTECHNOLOGY BIOLOGY STUDY OF LIFE
DNA LIGASE BIOTECHNOLOGY BIOLOGY STUDY OF LIFEDNA LIGASE BIOTECHNOLOGY BIOLOGY STUDY OF LIFE
DNA LIGASE BIOTECHNOLOGY BIOLOGY STUDY OF LIFEandreiandasan
 
Z-Wave Fan coil Thermostat Heltun_HE-HT01_User_Manual.pdf
Z-Wave Fan coil Thermostat Heltun_HE-HT01_User_Manual.pdfZ-Wave Fan coil Thermostat Heltun_HE-HT01_User_Manual.pdf
Z-Wave Fan coil Thermostat Heltun_HE-HT01_User_Manual.pdfDomotica daVinci
 
The Future of Product, by Founder & CEO, Product School
The Future of Product, by Founder & CEO, Product SchoolThe Future of Product, by Founder & CEO, Product School
The Future of Product, by Founder & CEO, Product SchoolProduct School
 
Bringing nullability into existing code - dammit is not the answer.pptx
Bringing nullability into existing code - dammit is not the answer.pptxBringing nullability into existing code - dammit is not the answer.pptx
Bringing nullability into existing code - dammit is not the answer.pptxMaarten Balliauw
 
5 Things You Shouldn’t Do at Salesforce World Tour Sydney 2024!
5 Things You Shouldn’t Do at Salesforce World Tour Sydney 2024!5 Things You Shouldn’t Do at Salesforce World Tour Sydney 2024!
5 Things You Shouldn’t Do at Salesforce World Tour Sydney 2024!XfilesPro
 
Early Tech Adoption: Foolish or Pragmatic? - 17th ISACA South Florida WOW Con...
Early Tech Adoption: Foolish or Pragmatic? - 17th ISACA South Florida WOW Con...Early Tech Adoption: Foolish or Pragmatic? - 17th ISACA South Florida WOW Con...
Early Tech Adoption: Foolish or Pragmatic? - 17th ISACA South Florida WOW Con...Adrian Sanabria
 
Zi-Stick UBS Dongle ZIgbee from Aeotec manual
Zi-Stick UBS Dongle ZIgbee from  Aeotec manualZi-Stick UBS Dongle ZIgbee from  Aeotec manual
Zi-Stick UBS Dongle ZIgbee from Aeotec manualDomotica daVinci
 
My self introduction to know others abut me
My self  introduction to know others abut meMy self  introduction to know others abut me
My self introduction to know others abut meManoj Prabakar B
 
21ST CENTURY LITERACY FROM TRADITIONAL TO MODERN
21ST CENTURY LITERACY FROM TRADITIONAL TO MODERN21ST CENTURY LITERACY FROM TRADITIONAL TO MODERN
21ST CENTURY LITERACY FROM TRADITIONAL TO MODERNRonnelBaroc
 
Enhancing SaaS Performance: A Hands-on Workshop for Partners
Enhancing SaaS Performance: A Hands-on Workshop for PartnersEnhancing SaaS Performance: A Hands-on Workshop for Partners
Enhancing SaaS Performance: A Hands-on Workshop for PartnersThousandEyes
 
Q1 Memory Fabric Forum: SMART CXL Product Lineup
Q1 Memory Fabric Forum: SMART CXL Product LineupQ1 Memory Fabric Forum: SMART CXL Product Lineup
Q1 Memory Fabric Forum: SMART CXL Product LineupMemory Fabric Forum
 
AWS reInvent 2023 recaps from Chicago AWS user group
AWS reInvent 2023 recaps from Chicago AWS user groupAWS reInvent 2023 recaps from Chicago AWS user group
AWS reInvent 2023 recaps from Chicago AWS user groupAWS Chicago
 
Manual sensor Zigbee 3.0 MOES ZSS-X-PIRL-C
Manual  sensor Zigbee 3.0 MOES ZSS-X-PIRL-CManual  sensor Zigbee 3.0 MOES ZSS-X-PIRL-C
Manual sensor Zigbee 3.0 MOES ZSS-X-PIRL-CDomotica daVinci
 
OTel Orientation_ How to Train Teams (OTel in Practice).pdf
OTel Orientation_ How to Train Teams (OTel in Practice).pdfOTel Orientation_ How to Train Teams (OTel in Practice).pdf
OTel Orientation_ How to Train Teams (OTel in Practice).pdfPaige Cruz
 
Building Products That Think- Bhaskaran Srinivasan & Ashish Gupta
Building Products That Think- Bhaskaran Srinivasan & Ashish GuptaBuilding Products That Think- Bhaskaran Srinivasan & Ashish Gupta
Building Products That Think- Bhaskaran Srinivasan & Ashish GuptaISPMAIndia
 
Evolution of Chatbots: From Custom AI Chatbots and AI Chatbots for Websites.pptx
Evolution of Chatbots: From Custom AI Chatbots and AI Chatbots for Websites.pptxEvolution of Chatbots: From Custom AI Chatbots and AI Chatbots for Websites.pptx
Evolution of Chatbots: From Custom AI Chatbots and AI Chatbots for Websites.pptxKyle Willson
 

Último (20)

Introduction to Serverless with AWS Lambda in C#.pptx
Introduction to Serverless with AWS Lambda in C#.pptxIntroduction to Serverless with AWS Lambda in C#.pptx
Introduction to Serverless with AWS Lambda in C#.pptx
 
Curtain Module Manual Zigbee Neo CS01-1C.pdf
Curtain Module Manual Zigbee Neo CS01-1C.pdfCurtain Module Manual Zigbee Neo CS01-1C.pdf
Curtain Module Manual Zigbee Neo CS01-1C.pdf
 
Q1 Memory Fabric Forum: Intel Enabling Compute Express Link (CXL)
Q1 Memory Fabric Forum: Intel Enabling Compute Express Link (CXL)Q1 Memory Fabric Forum: Intel Enabling Compute Express Link (CXL)
Q1 Memory Fabric Forum: Intel Enabling Compute Express Link (CXL)
 
Power of 2024 - WITforce Odyssey.pptx.pdf
Power of 2024 - WITforce Odyssey.pptx.pdfPower of 2024 - WITforce Odyssey.pptx.pdf
Power of 2024 - WITforce Odyssey.pptx.pdf
 
DNA LIGASE BIOTECHNOLOGY BIOLOGY STUDY OF LIFE
DNA LIGASE BIOTECHNOLOGY BIOLOGY STUDY OF LIFEDNA LIGASE BIOTECHNOLOGY BIOLOGY STUDY OF LIFE
DNA LIGASE BIOTECHNOLOGY BIOLOGY STUDY OF LIFE
 
Z-Wave Fan coil Thermostat Heltun_HE-HT01_User_Manual.pdf
Z-Wave Fan coil Thermostat Heltun_HE-HT01_User_Manual.pdfZ-Wave Fan coil Thermostat Heltun_HE-HT01_User_Manual.pdf
Z-Wave Fan coil Thermostat Heltun_HE-HT01_User_Manual.pdf
 
The Future of Product, by Founder & CEO, Product School
The Future of Product, by Founder & CEO, Product SchoolThe Future of Product, by Founder & CEO, Product School
The Future of Product, by Founder & CEO, Product School
 
Bringing nullability into existing code - dammit is not the answer.pptx
Bringing nullability into existing code - dammit is not the answer.pptxBringing nullability into existing code - dammit is not the answer.pptx
Bringing nullability into existing code - dammit is not the answer.pptx
 
5 Things You Shouldn’t Do at Salesforce World Tour Sydney 2024!
5 Things You Shouldn’t Do at Salesforce World Tour Sydney 2024!5 Things You Shouldn’t Do at Salesforce World Tour Sydney 2024!
5 Things You Shouldn’t Do at Salesforce World Tour Sydney 2024!
 
Early Tech Adoption: Foolish or Pragmatic? - 17th ISACA South Florida WOW Con...
Early Tech Adoption: Foolish or Pragmatic? - 17th ISACA South Florida WOW Con...Early Tech Adoption: Foolish or Pragmatic? - 17th ISACA South Florida WOW Con...
Early Tech Adoption: Foolish or Pragmatic? - 17th ISACA South Florida WOW Con...
 
Zi-Stick UBS Dongle ZIgbee from Aeotec manual
Zi-Stick UBS Dongle ZIgbee from  Aeotec manualZi-Stick UBS Dongle ZIgbee from  Aeotec manual
Zi-Stick UBS Dongle ZIgbee from Aeotec manual
 
My self introduction to know others abut me
My self  introduction to know others abut meMy self  introduction to know others abut me
My self introduction to know others abut me
 
21ST CENTURY LITERACY FROM TRADITIONAL TO MODERN
21ST CENTURY LITERACY FROM TRADITIONAL TO MODERN21ST CENTURY LITERACY FROM TRADITIONAL TO MODERN
21ST CENTURY LITERACY FROM TRADITIONAL TO MODERN
 
Enhancing SaaS Performance: A Hands-on Workshop for Partners
Enhancing SaaS Performance: A Hands-on Workshop for PartnersEnhancing SaaS Performance: A Hands-on Workshop for Partners
Enhancing SaaS Performance: A Hands-on Workshop for Partners
 
Q1 Memory Fabric Forum: SMART CXL Product Lineup
Q1 Memory Fabric Forum: SMART CXL Product LineupQ1 Memory Fabric Forum: SMART CXL Product Lineup
Q1 Memory Fabric Forum: SMART CXL Product Lineup
 
AWS reInvent 2023 recaps from Chicago AWS user group
AWS reInvent 2023 recaps from Chicago AWS user groupAWS reInvent 2023 recaps from Chicago AWS user group
AWS reInvent 2023 recaps from Chicago AWS user group
 
Manual sensor Zigbee 3.0 MOES ZSS-X-PIRL-C
Manual  sensor Zigbee 3.0 MOES ZSS-X-PIRL-CManual  sensor Zigbee 3.0 MOES ZSS-X-PIRL-C
Manual sensor Zigbee 3.0 MOES ZSS-X-PIRL-C
 
OTel Orientation_ How to Train Teams (OTel in Practice).pdf
OTel Orientation_ How to Train Teams (OTel in Practice).pdfOTel Orientation_ How to Train Teams (OTel in Practice).pdf
OTel Orientation_ How to Train Teams (OTel in Practice).pdf
 
Building Products That Think- Bhaskaran Srinivasan & Ashish Gupta
Building Products That Think- Bhaskaran Srinivasan & Ashish GuptaBuilding Products That Think- Bhaskaran Srinivasan & Ashish Gupta
Building Products That Think- Bhaskaran Srinivasan & Ashish Gupta
 
Evolution of Chatbots: From Custom AI Chatbots and AI Chatbots for Websites.pptx
Evolution of Chatbots: From Custom AI Chatbots and AI Chatbots for Websites.pptxEvolution of Chatbots: From Custom AI Chatbots and AI Chatbots for Websites.pptx
Evolution of Chatbots: From Custom AI Chatbots and AI Chatbots for Websites.pptx
 

Alibaba Cloud AI Solutions - ET Brain

  • 1. Alibaba Cloud AI Solutions – ET Brain Xuan Jin Lead Solutions Architect
  • 2. The Birth of ET Brains 2017.122017.062017.032016.102016.082016.04 Small Ai ET Debut ET City Brain ET Industry Brain ET Environment Brain ET Aviation Brain 2018.6 ET Agriculture Brain
  • 3. ET City Brain Kuala Lumpur HangZhou ChongQing SuZhou Macau
  • 4. The Structure of ET City Brain Big Screen Dashboard Data Resource Monitoring Crowd Distribution Data Interface Service 3. Intelligent Algorithm Platform Public Transport Capacity Estimation Traffic Video Analysis Road Network Modeling Bus Stop Analysis Route Assessment Route Optimization Vehicle Behavior Modeling Traffic condition Forecasting Traffic Strategy Optimization Buses Taxis Trucks Shuttle Buses Surveilance System Traffic Lights Traffic Light Control System 视 频 数 据 Images Traffic Data Computing Cluster Police Video Network Traffic Light Control Systm Traffic Management Taxi Management System Management Network Internet Companies Map Data Traffic Data Public Bus Companies Bus Scheduling System Telecom Companies Traffic Light Optimization Private Wire Intersection Data Network Gateway Real-Time GPS Data Historical GPS Data AP Historical Data Bus GPS Historical Data Bus GPS Real-Time Data Map Data Videos Command Center Real-Time Road Conditions Analysis 4. Intelligent Application Platform 2. Data Fusion Platform Data Standard Physical Modeling Index Calculation Data Directory Data Integration Data Cleaning Data Exchange Data Security Bus GPS Data Map Data AP Data Bus Route Data Shuttle Bus GPS Data Traffic Light Historical Data Video / Image Data Taxi GPS Data Special Vehicle GPS Data Traffic Data AP 1. Data Collection Platform Amap China Mobile China Unicom Electronic Police System Traffic Police Department 1 2 3 4 5 Traffic Signal Optimization
  • 5. ET City Brain On-demand Green Wave for Ambulance Downtown Hangzhou 500+ incident reports daily with 92% accuracy from video analysis Average passing time dropped by 15.3% Xiaoshan District Average driving speed increased by 15% Response time of emergency vehicles shortened by 50% Su Zhou Passenger volume increased by 17% on trial bus routes Event Perception: Illegal Driving and Accidents
  • 7. Public transportation passengers increase 17%+ Travel time reduce 6% Cars are reduced / Day 50,000 Suzhou City Brain Suzhou City Brain Public Transportation System
  • 8. Machine Data QC Data Environment Data Expertise Equipment Parameters Machine Neural Network Industrial AIRules Features Experience ET Industrial Brain
  • 9. Machine Data QC Data Environment Data Expertise Equipment Parameters x0 x1 x2 x3 x4 y1 y2 y3 y4 Yield rate of silicon wafer slicing +1% Fossil fuel consumption -3% Yield rate of rubber compounding +5% Proportion of Grade A cell products +7% Machine Neural Network Industrial AIRules Features Experience ET Industrial Brain
  • 11. Beijing Capital International Airport Flights / Day 1700+ Gate Planning 50seconds Time Saved / Day 5000+ hours Beijing Capital International Airport
  • 12. Ele.me – How to make 9 Million Delivery a Day ET Aviation Brain
  • 13. Orders / Day 9+ million Order Response 0.5seconds Avg. Delivery Time 29minutes Ele.me O2O Platform Ele.me O2O platform
  • 14. A real demonstration from 3:47 to 4:12 3:47 Purchase 3:49 Accept 3:50 Delivery Plan 4:00 Deliver 4:12 Finish Ele.me O2O platform
  • 15. Make sure the dispatch system is extensible with business growth Reduce the waiting duration of consumers Reduce the delivery cost Apply prediction model by taking into account food preparation duration / waiting duration at consumers location Ele.me O2O platform Dispatch tasks according to delivery network status x mins later Apply parallel computing and cloud computing technologies in the system
  • 17. Orders / Day / Store 4,000+ Travel distance reduce 15% Hema online and offline experiential shopping center Hema Dispatch System Delivery Time 30minutes

Hinweis der Redaktion

  1. 交通管理面临4个“不知道” “容量不知道”-即难以了解城市交通系统的承载能力。 “需求不知道”-即难以了解城市交通人、货时空出行目的、路径。 “对象不知道”-即难以精准定位需求调控的“人、车、路”对象。 “状态不知道”-即难以全面、及时了解道路、线路、枢纽拥堵状况
  2. 支持使用GA/T 1049.2+,SCATS ITS Interface,NTCIP C2C和C2F信号系统的对接 支持单路口、多路口优化、多路口绿波协调 路口高精地图显示,支持视频远程巡查 IOT-Based Environment Brain Detection of Nature Ecosystem -> Detection of Natural Ecosystem Ecological Co-exist -> Ecological Coexistence
  3. 全面感知快速路与相邻道路之间的实时路况 实现快速路匝道出入口与相邻交叉路况之间的协调联动,避免快速路或交叉口堵死 支持控制方案实时显示 能够回放历史交通路况及控制方案
  4. 优化公交排班,让更多的人放弃开车。
  5. 17%公交出行增加 减少6%时间
  6. Human, Machine, Material, Methodology, Environment
  7. 首都航空停机位分配。原来有一个人在排,但是飞机会晚点,人工效率不高。人工智能排班,Ganter图可以动太来排。最大化gate使用率,考虑到 gate 大小和飞机大小,滑行的跑道taxi way的冲突,避免临时的方案比如小飞机放在大位置上。
  8. 一天1700架,50秒一次排班,节省5000个小时总时间
  9. ELEME Inc. is a platform that offers online food delivery service. 
  10. Elem一天9m,骑手3m,不固定. 可能这个业务模式也适合rentokil
  11. 河马就是rentokil这个同一个team. 30mins 3km.
  12. 一天单店4000单,上线后节约了15% travel distance, 30分钟3公里全送到。