SlideShare une entreprise Scribd logo
1  sur  12
i2tree - Smart Active Info Network

think different about the way we do distributing
      micro-work to our local community
                           Idea and implemented by: Nguyễn Tấn Triều
                           http://nguyentantrieu.info
Knowledge Economy => Knowledge Worker




       =>




            The Internet make the economy create lots of
            information very fast, and we get the "Information
            overload“ problems everyday.
Outsourcing your problems to micro-workers ?
How we solve suitable problems and
earn money actively ?
There some information (the answer for problem’s
 publisher) but they don’t know, they have to
 browse or search through the list to find
 someone, who’s suitable for their need.




       Captured from http://www.jobsfor10.com/page/2
Your answer or problem will be recommended
based on your profile (mining the Facebook data ?)
Benefits
 Near real-time problem-solutions matching could be
  done.
 The micro-workers will see it immediately when the
  system push the matched tasks to them
 The publisher will get response faster, because the
  tasks will be assigned to right people at right place.
Core business model for users
 Earn-as-you-impact your-friends (social media)
  – social viral marketing
 Earn-as-you-share (broadcast the message to
  your community) – social viral marketing
 Earn-as-you-solve localized-problems
  (someone in your living area can not do a tasks
  alone, they need your help) – do collaboration to
  solve problems.
 Earn-as-you-tell your experience about service
  or product (a company need do market research
  at your region, and you can help)
Core business model on i2tree platform
  Display text or banner ads based on the content of
   a question and geo-location
  Use referrals links to e-commerce mobile virtual
   store for products mentioned on the questions
  Offers an i2tree Credits system, ranking the best
   trusted users can solve problems on a specific
   category
Logic flow – how i2tree really work
Final thoughts and roadmap
 Build a effective way to monetize from finished
    answer to publisher (localized way)
   Mobile-accessible for everyone
   Open API for third-parties
   Organize the data at the backend (currently is
    mySQL) using Graph Database => Knowledge
    Graph
   Your feedback here …
             Thank you for your attention!

Contenu connexe

Plus de Trieu Nguyen

Building Your Customer Data Platform with LEO CDP
Building Your Customer Data Platform with LEO CDP Building Your Customer Data Platform with LEO CDP
Building Your Customer Data Platform with LEO CDP Trieu Nguyen
 
How to track and improve Customer Experience with LEO CDP
How to track and improve Customer Experience with LEO CDPHow to track and improve Customer Experience with LEO CDP
How to track and improve Customer Experience with LEO CDPTrieu Nguyen
 
[Notes] Customer 360 Analytics with LEO CDP
[Notes] Customer 360 Analytics with LEO CDP[Notes] Customer 360 Analytics with LEO CDP
[Notes] Customer 360 Analytics with LEO CDPTrieu Nguyen
 
Leo CDP - Pitch Deck
Leo CDP - Pitch DeckLeo CDP - Pitch Deck
Leo CDP - Pitch DeckTrieu Nguyen
 
LEO CDP - What's new in 2022
LEO CDP  - What's new in 2022LEO CDP  - What's new in 2022
LEO CDP - What's new in 2022Trieu Nguyen
 
Lộ trình triển khai LEO CDP cho ngành bất động sản
Lộ trình triển khai LEO CDP cho ngành bất động sảnLộ trình triển khai LEO CDP cho ngành bất động sản
Lộ trình triển khai LEO CDP cho ngành bất động sảnTrieu Nguyen
 
Why is LEO CDP important for digital business ?
Why is LEO CDP important for digital business ?Why is LEO CDP important for digital business ?
Why is LEO CDP important for digital business ?Trieu Nguyen
 
From Dataism to Customer Data Platform
From Dataism to Customer Data PlatformFrom Dataism to Customer Data Platform
From Dataism to Customer Data PlatformTrieu Nguyen
 
Data collection, processing & organization with USPA framework
Data collection, processing & organization with USPA frameworkData collection, processing & organization with USPA framework
Data collection, processing & organization with USPA frameworkTrieu Nguyen
 
Part 1: Introduction to digital marketing technology
Part 1: Introduction to digital marketing technologyPart 1: Introduction to digital marketing technology
Part 1: Introduction to digital marketing technologyTrieu Nguyen
 
Why is Customer Data Platform (CDP) ?
Why is Customer Data Platform (CDP) ?Why is Customer Data Platform (CDP) ?
Why is Customer Data Platform (CDP) ?Trieu Nguyen
 
How to build a Personalized News Recommendation Platform
How to build a Personalized News Recommendation PlatformHow to build a Personalized News Recommendation Platform
How to build a Personalized News Recommendation PlatformTrieu Nguyen
 
How to grow your business in the age of digital marketing 4.0
How to grow your business  in the age of digital marketing 4.0How to grow your business  in the age of digital marketing 4.0
How to grow your business in the age of digital marketing 4.0Trieu Nguyen
 
Video Ecosystem and some ideas about video big data
Video Ecosystem and some ideas about video big dataVideo Ecosystem and some ideas about video big data
Video Ecosystem and some ideas about video big dataTrieu Nguyen
 
Concepts, use cases and principles to build big data systems (1)
Concepts, use cases and principles to build big data systems (1)Concepts, use cases and principles to build big data systems (1)
Concepts, use cases and principles to build big data systems (1)Trieu Nguyen
 
Open OTT - Video Content Platform
Open OTT - Video Content PlatformOpen OTT - Video Content Platform
Open OTT - Video Content PlatformTrieu Nguyen
 
Apache Hadoop and Spark: Introduction and Use Cases for Data Analysis
Apache Hadoop and Spark: Introduction and Use Cases for Data AnalysisApache Hadoop and Spark: Introduction and Use Cases for Data Analysis
Apache Hadoop and Spark: Introduction and Use Cases for Data AnalysisTrieu Nguyen
 
Introduction to Recommendation Systems (Vietnam Web Submit)
Introduction to Recommendation Systems (Vietnam Web Submit)Introduction to Recommendation Systems (Vietnam Web Submit)
Introduction to Recommendation Systems (Vietnam Web Submit)Trieu Nguyen
 
Introduction to Recommendation Systems
Introduction to Recommendation SystemsIntroduction to Recommendation Systems
Introduction to Recommendation SystemsTrieu Nguyen
 
Giới thiệu cơ bản về Big Data và các ứng dụng thực tiễn
Giới thiệu cơ bản về Big Data và các ứng dụng thực tiễnGiới thiệu cơ bản về Big Data và các ứng dụng thực tiễn
Giới thiệu cơ bản về Big Data và các ứng dụng thực tiễnTrieu Nguyen
 

Plus de Trieu Nguyen (20)

Building Your Customer Data Platform with LEO CDP
Building Your Customer Data Platform with LEO CDP Building Your Customer Data Platform with LEO CDP
Building Your Customer Data Platform with LEO CDP
 
How to track and improve Customer Experience with LEO CDP
How to track and improve Customer Experience with LEO CDPHow to track and improve Customer Experience with LEO CDP
How to track and improve Customer Experience with LEO CDP
 
[Notes] Customer 360 Analytics with LEO CDP
[Notes] Customer 360 Analytics with LEO CDP[Notes] Customer 360 Analytics with LEO CDP
[Notes] Customer 360 Analytics with LEO CDP
 
Leo CDP - Pitch Deck
Leo CDP - Pitch DeckLeo CDP - Pitch Deck
Leo CDP - Pitch Deck
 
LEO CDP - What's new in 2022
LEO CDP  - What's new in 2022LEO CDP  - What's new in 2022
LEO CDP - What's new in 2022
 
Lộ trình triển khai LEO CDP cho ngành bất động sản
Lộ trình triển khai LEO CDP cho ngành bất động sảnLộ trình triển khai LEO CDP cho ngành bất động sản
Lộ trình triển khai LEO CDP cho ngành bất động sản
 
Why is LEO CDP important for digital business ?
Why is LEO CDP important for digital business ?Why is LEO CDP important for digital business ?
Why is LEO CDP important for digital business ?
 
From Dataism to Customer Data Platform
From Dataism to Customer Data PlatformFrom Dataism to Customer Data Platform
From Dataism to Customer Data Platform
 
Data collection, processing & organization with USPA framework
Data collection, processing & organization with USPA frameworkData collection, processing & organization with USPA framework
Data collection, processing & organization with USPA framework
 
Part 1: Introduction to digital marketing technology
Part 1: Introduction to digital marketing technologyPart 1: Introduction to digital marketing technology
Part 1: Introduction to digital marketing technology
 
Why is Customer Data Platform (CDP) ?
Why is Customer Data Platform (CDP) ?Why is Customer Data Platform (CDP) ?
Why is Customer Data Platform (CDP) ?
 
How to build a Personalized News Recommendation Platform
How to build a Personalized News Recommendation PlatformHow to build a Personalized News Recommendation Platform
How to build a Personalized News Recommendation Platform
 
How to grow your business in the age of digital marketing 4.0
How to grow your business  in the age of digital marketing 4.0How to grow your business  in the age of digital marketing 4.0
How to grow your business in the age of digital marketing 4.0
 
Video Ecosystem and some ideas about video big data
Video Ecosystem and some ideas about video big dataVideo Ecosystem and some ideas about video big data
Video Ecosystem and some ideas about video big data
 
Concepts, use cases and principles to build big data systems (1)
Concepts, use cases and principles to build big data systems (1)Concepts, use cases and principles to build big data systems (1)
Concepts, use cases and principles to build big data systems (1)
 
Open OTT - Video Content Platform
Open OTT - Video Content PlatformOpen OTT - Video Content Platform
Open OTT - Video Content Platform
 
Apache Hadoop and Spark: Introduction and Use Cases for Data Analysis
Apache Hadoop and Spark: Introduction and Use Cases for Data AnalysisApache Hadoop and Spark: Introduction and Use Cases for Data Analysis
Apache Hadoop and Spark: Introduction and Use Cases for Data Analysis
 
Introduction to Recommendation Systems (Vietnam Web Submit)
Introduction to Recommendation Systems (Vietnam Web Submit)Introduction to Recommendation Systems (Vietnam Web Submit)
Introduction to Recommendation Systems (Vietnam Web Submit)
 
Introduction to Recommendation Systems
Introduction to Recommendation SystemsIntroduction to Recommendation Systems
Introduction to Recommendation Systems
 
Giới thiệu cơ bản về Big Data và các ứng dụng thực tiễn
Giới thiệu cơ bản về Big Data và các ứng dụng thực tiễnGiới thiệu cơ bản về Big Data và các ứng dụng thực tiễn
Giới thiệu cơ bản về Big Data và các ứng dụng thực tiễn
 

Dernier

"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersRaghuram Pandurangan
 
unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxBkGupta21
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxLoriGlavin3
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfLoriGlavin3
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxLoriGlavin3
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESmohitsingh558521
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 

Dernier (20)

"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information Developers
 
unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptx
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdf
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 

I2tree - Smart Active Info Network

  • 1. i2tree - Smart Active Info Network think different about the way we do distributing micro-work to our local community Idea and implemented by: Nguyễn Tấn Triều http://nguyentantrieu.info
  • 2. Knowledge Economy => Knowledge Worker => The Internet make the economy create lots of information very fast, and we get the "Information overload“ problems everyday.
  • 3. Outsourcing your problems to micro-workers ?
  • 4. How we solve suitable problems and earn money actively ? There some information (the answer for problem’s publisher) but they don’t know, they have to browse or search through the list to find someone, who’s suitable for their need. Captured from http://www.jobsfor10.com/page/2
  • 5. Your answer or problem will be recommended based on your profile (mining the Facebook data ?)
  • 6. Benefits  Near real-time problem-solutions matching could be done.  The micro-workers will see it immediately when the system push the matched tasks to them  The publisher will get response faster, because the tasks will be assigned to right people at right place.
  • 7. Core business model for users  Earn-as-you-impact your-friends (social media) – social viral marketing  Earn-as-you-share (broadcast the message to your community) – social viral marketing  Earn-as-you-solve localized-problems (someone in your living area can not do a tasks alone, they need your help) – do collaboration to solve problems.  Earn-as-you-tell your experience about service or product (a company need do market research at your region, and you can help)
  • 8. Core business model on i2tree platform  Display text or banner ads based on the content of a question and geo-location  Use referrals links to e-commerce mobile virtual store for products mentioned on the questions  Offers an i2tree Credits system, ranking the best trusted users can solve problems on a specific category
  • 9. Logic flow – how i2tree really work
  • 10.
  • 11.
  • 12. Final thoughts and roadmap  Build a effective way to monetize from finished answer to publisher (localized way)  Mobile-accessible for everyone  Open API for third-parties  Organize the data at the backend (currently is mySQL) using Graph Database => Knowledge Graph  Your feedback here … Thank you for your attention!