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Table of Contents

Overview

Technology around Business Intelligence (BI) has been developed since 1990s. Most of the BI tools was built because of the sprout of Relation Database Management System (RDBMS). After many years of development and evolution, BI is now a pretty mature area that most modern corporations embrace and has a long history to help human to understand data in an intuited way.

On the other hand, the growth of AI has been exploded since 2010s. AI models can now run on Big Data much more cost effective than years ago by ever-improving algorithms in a lightening speed. However, speed without correct direction can lead to issues such as bias results, if not disaster.

Hence, there is a need for the convergence of traditional BI and AI disciplines including Machine Learning, Deep Learning by this equation AI + BI = CI.

The goal of this committee is to integrate the power of AI and BI to make it CI (Cognitive Intelligence) by combing the speed machines accelerate (AI) with the direction intuited by human insight (BI). We have the following mission:

  • Increase the interoperability for the BI vendors and AI technology
  • Propose industry best practices and standard for how BI and AI can work together
  • Promote practical guidelines on how to run AI model on BI tools
2021 Initiative Open

Open BI/AI Connectivity

OBAIC
  • “AI ODBC for BI”
  • Once this is defined and developed, BI vendors can connect to any AI framework (TensorFlow, PyTorch… etc) freely without concerning about the underlying implementation, just like what we used to have for database with ODBC
  • As a BI platform, what specific call do I need this standard to provide so that I can better leverage any underlying AI/ML framework?
  • As an AI practitioner, what should be the common denominator an AI framework should provide to support this standard?

OBAIC Initiative

Mailing Mailing Lists

Participants

Chairperson: Cupid Chan 

Name

Affiliation

Email

LF ID

Travis AddairPredibase
Cupid ChanPistevo Decisioncchan@pistevodecision
tgaddair@gmail
.com 

Cupid Chan

Deepak Karuppiah
4C Decision
MicroStrategy
cchan@pistevodecisionPiero MolinoPredibasepiero.molino@gmail.comPrashant NatarajanH2O.aiprashant.natarajan@gmail.com Deepak KaruppiahMicroStrategydnesmith@microstrategy.com Nancy RauschSASNancy.Rausch@sas.comDalton RuerQlikDalton.Ruer@qlik.comSachin SinhaMicrosoftsachin.sinha@microsoft.com
dnesmith@microstrategy.com 

Cupid Chan

Xiangxiang MengRedfinxiangxiang.meng@redfin.com

Stu Sztukowski

SASstu.sztukowski@sas.comStu Sztukowski
Joe MaddenSASjoseph.madden@sas.com
Dalton RuerQlikDalton.Ruer@qlik.com


Sachin SinhaMicrosoftsachin.sinha@microsoft.com
Yi ShaoIBMshaoyi@cn.ibm.com
Gerard Valerio

Jeffrey Tang
Tableau
Predibaes
gvalerio@tableau
jeffreyftang@gmail.com
Lingyan YinSalesforcelingyan.yin@salesforce.com

Past Publication

Human-Centered AI for BI Industry:  https://lfaidata.foundation/wp-content/uploads/sites/68/2020/12/2020-LF-AI-%5E0-Data-Human_Centered-AI.pdf

BI Endgame - When BI Meets AI: https://www.odpi.org/wp-content/uploads/sites/9/2019/11/BI-Endgame-When-AI-Meets-BI.pdf

“BI”g Data: https://www.odpi.org/wp-content/uploads/sites/9/2018/12/ODPi_Whitepaper_BIGData.pdf 

Data Science Notebook Guideline: https://lfaidata.foundation/wp-content/uploads/sites/68/2020/12/odpi_wp_data_science_notebook_guidelines_111617.pdf 

Meetings

How to Join:

Bi-weekly meeting every other Wednesday at 4PM ET: https://lists.lfaidata.foundation/g/biai-discussion/ics/9276550/1026026445/feed.ics

https://umd.zoom.us/j/96695340839?pwd=Z1o5bUR1VkhJRFJmcW83bDdrTjA0dz09 

Meeting Content (minutes / recording / slides / other):

Effective BI Visualization for AI Prediction 

Part 1: Continuous Prediction

View file
name2023 effective_bi_visualization_for_ai_pred_part1rev3.pdf
height250

Part 2: Forecasting

View file
name2023 effective_bi_visualization_for_ai_pred_part2rev3.pdf
height250

Part 3: Text Analytics

View file
nameeffective_bi_visualization_for_ai_pred_part3_rev3.pdf
height250

Part 4: What-if Analysis

View file
nameeffective_bi_visualization_for_ai_pred_part4rev3.pdf
height250

Convergence of AI, BI and Data Analytics Future

View file
nameOBAIC_Report_110922.pdf
height250

Human-Centered AI for BI Industry

View file
name2020 LF AI & Data Human_Centered AI.pdf
height250

BI Endgame - When BI Meets AI

View file
nameBI Endgame - When AI meet BI.pdf
height250

“BI”g Data

View file
nameODPi_Whitepaper_BIGData.pdf
height250

Data Science Notebook Guideline

View file
name2017 ODPi_WP_DataScienceNotebookGuidelines_20171116.pdf
height250

Meetings

How to Join:

Bi-weekly meeting every other Wednesday at 4PM ET: https://lists.lfaidata.foundation/g/biai-discussion/ics/9276550/1026026445/feed.ics

Meeting Content (minutes / recording / slides / other):


20230726202307

  • 2024-03-06:

  • 2021-02-03 

    Widget Connector
    urlhttp://youtube.com/watch?v=KTdr2OkLl-o

  • 2020-02-17 
    Widget Connector
    urlhttp://youtube.com/watch?v=ktDPN6xwJAs
  • 2020-03-03 
    Widget Connector
    urlhttps://www.youtube.com/watch?v=hpVOpyFfoSE
  • 2020-03-17 
    Widget Connector
    urlhttps://www.youtube.com/watch?v=HfHnHcDcOio
  • 2021-04-14: 
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    urlhttp://youtube.com/watch?v=7qXhXa9iQ9o
  • 2021-04-28: 
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    urlhttp://youtube.com/watch?v=aGdBgjOWgHk
  • 2021-05-12: 
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    urlhttp://youtube.com/watch?v=_wE_szFLV6I
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    urlhttp://youtube.com/watch?v=DbJhiNZzAPs4GFVm2ubNLM
    2021
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Table of Contents

Overview

Technology around Business Intelligence (BI) has been developed since 1990s. Most of the BI tools was built because of the sprout of Relation Database Management System (RDBMS). After many years of development and evolution, BI is now a pretty mature area that most modern corporations embrace and has a long history to help human to understand data in an intuited way.

On the other hand, the growth of AI has been exploded since 2010s. AI models can now run on Big Data much more cost effective than years ago by ever-improving algorithms in a lightening speed. However, speed without correct direction can lead to issues such as bias results, if not disaster.

Hence, there is a need for the convergence of traditional BI and AI disciplines including Machine Learning, Deep Learning by this equation AI + BI = CI.

The goal of this committee is to integrate the power of AI and BI to make it CI (Cognitive Intelligence) by combing the speed machines accelerate (AI) with the direction intuited by human insight (BI). We have the following mission:

  • Increase the interoperability for the BI vendors and AI technology
  • Propose industry best practices and standard for how BI and AI can work together
  • Promote practical guidelines on how to run AI model on BI tools

2021 Initiative Open BI/AI Connectivity OBAIC

  • “AI ODBC for BI”
  • Once this is defined and developed, BI vendors can connect to any AI framework (TensorFlow, PyTorch… etc) freely without concerning about the underlying implementation, just like what we used to have for database with ODBC
  • As a BI platform, what specific call do I need this standard to provide so that I can better leverage any underlying AI/ML framework?
  • As an AI practitioner, what should be the common denominator an AI framework should provide to support this standard?

Mailing Lists

Participants

Chairperson: Cupid Chan 

Name

Affiliation

Email

LF ID

  • ob__EUNWVwo
  • 2023-09-20:
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    urlhttp://youtube.com/watch?v=lfvLCzf3WJk
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    urlhttp://youtube.com/watch?v=krIpsyu1CMM
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    urlhttp://youtube.com/watch?v=a6RzzdWWhn8
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    urlhttp://youtube.com/watch?v=4DGcK9b2L4U
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    urlhttp://youtube.com/watch?v=YSqv-vroPDU
  • 2022-03-17: 
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    urlhttp://youtube.com/watch?v=bnHyJwEmdw4
  • 2020-02-16: 
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    urlhttp://youtube.com/watch?v=LCF-OY8pjtU
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    urlhttp://youtube.com/watch?v=oNxX5z-RR9c
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    urlhttp://youtube.com/watch?v=CxBib-LyMHo
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    urlhttp://youtube.com/watch?v=R65mUU6Vwzg
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    urlhttp://youtube.com/watch?v=f-Aqizogrl0
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  • 2021-10-13: 
Travis AddairPredibasetgaddair@gmail.comCupid Chan4C Decisioncchan@4cdecision.com 

Cupid Chan

Xiangxiang MengRedfinxiangxiang.meng@redfin.comPiero MolinoPredibasepiero.molino@gmail.comPrashant NatarajanH2O.aiprashant.natarajan@gmail.com Deepak KaruppiahMicroStrategydnesmith@microstrategy.com Nancy RauschSASNancy.Rausch@sas.comDalton RuerQlikDalton.Ruer@qlik.comSachin SinhaMicrosoftsachin.sinha@microsoft.comYi ShaoIBMshaoyi@cn.ibm.comGerard ValerioTableaugvalerio@tableau.comLingyan YinSalesforcelingyan.yin@salesforce.com

Past Publication

Human-Centered AI for BI Industry:  https://lfaidata.foundation/wp-content/uploads/sites/68/2020/12/2020-LF-AI-%5E0-Data-Human_Centered-AI.pdf

BI Endgame - When BI Meets AI: https://www.odpi.org/wp-content/uploads/sites/9/2019/11/BI-Endgame-When-AI-Meets-BI.pdf

“BI”g Data: https://www.odpi.org/wp-content/uploads/sites/9/2018/12/ODPi_Whitepaper_BIGData.pdf 

Data Science Notebook Guideline: https://lfaidata.foundation/wp-content/uploads/sites/68/2020/12/odpi_wp_data_science_notebook_guidelines_111617.pdf 

Meetings

How to Join:

Bi-weekly meeting every other Wednesday at 4PM ET: https://lists.lfaidata.foundation/g/biai-discussion/ics/9276550/1026026445/feed.ics

https://umd.zoom.us/j/96695340839?pwd=Z1o5bUR1VkhJRFJmcW83bDdrTjA0dz09 

Meeting Content (minutes / recording / slides / other):

  • 2021-02-03 

    Widget Connector
    urlhttp://youtube.com/watch?v=KTdr2OkLl-o

  • 2020-02-17 
    Widget Connector
    urlhttp://youtube.com/watch?v=ktDPN6xwJAs
  • 2020-03-03 
    Widget Connector
    urlhttps://www.youtube.com/watch?v=hpVOpyFfoSE
  • 2020-03-17 
    Widget Connector
    urlhttps://www.youtube.com/watch?v=HfHnHcDcOio
  • 2021-04-14: 
    Widget Connector
    urlhttp://youtube.com/watch?v=7qXhXa9iQ9o
  • 2021-04-28: 
    Widget Connector
    urlhttp://youtube.com/watch?v=aGdBgjOWgHk
  • 2021-05-12: 
    Widget Connector
    urlhttp://youtube.com/watch?v=_wE_szFLV6I
  • 2021-06-09: 
    Widget Connector
    urlhttp://youtube.com/watch?v=DbJhiNZzAPs
  • 2021-06-23: 
    Widget Connector
    urlhttp://youtube.com/watch?v=dYFqfXq1YWY
  • 2021-07-07: 
    Widget Connector
    urlhttp://youtube.com/watch?v=3oFKhtezLgs
  • 2021-08-04: 
    Widget Connector
    urlhttp://youtube.com/watch?v=oWfWfipUyF4
  • 2021-08-18: 
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    urlhttp://youtube.com/watch?v=BITthXQ0SPA
  • 2021-09-01: 
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    urlhttp://youtube.com/watch?v=vY6ZuTwlksA
  • 2021-09-15: 
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    urlhttp://youtube.com/watch?v=ActWTuC9FDY
  • 2021-09-29: 
    Widget Connector
    urlhttp://youtube.com/watch?v=FM1p_0FVIHo

Table of Contents

Overview

Technology around Business Intelligence (BI) has been developed since 1990s. Most of the BI tools was built because of the sprout of Relation Database Management System (RDBMS). After many years of development and evolution, BI is now a pretty mature area that most modern corporations embrace and has a long history to help human to understand data in an intuited way.

On the other hand, the growth of AI has been exploded since 2010s. AI models can now run on Big Data much more cost effective than years ago by ever-improving algorithms in a lightening speed. However, speed without correct direction can lead to issues such as bias results, if not disaster.

Hence, there is a need for the convergence of traditional BI and AI disciplines including Machine Learning, Deep Learning by this equation AI + BI = CI.

The goal of this committee is to integrate the power of AI and BI to make it CI (Cognitive Intelligence) by combing the speed machines accelerate (AI) with the direction intuited by human insight (BI). We have the following mission:

  • Increase the interoperability for the BI vendors and AI technology
  • Propose industry best practices and standard for how BI and AI can work together
  • Promote practical guidelines on how to run AI model on BI tools

2021 Initiative Open BI/AI Connectivity OBAIC

  • “AI ODBC for BI”
  • Once this is defined and developed, BI vendors can connect to any AI framework (TensorFlow, PyTorch… etc) freely without concerning about the underlying implementation, just like what we used to have for database with ODBC
  • As a BI platform, what specific call do I need this standard to provide so that I can better leverage any underlying AI/ML framework?
  • As an AI practitioner, what should be the common denominator an AI framework should provide to support this standard?

Mailing Lists

Participants

Chairperson: Cupid Chan 

Name

Affiliation

Email

LF ID

Travis AddairPredibasetgaddair@gmail.comCupid Chan4C Decisioncchan@pistevodecision.com 

Cupid Chan

Xiangxiang MengRedfinxiangxiang.meng@redfin.comPiero MolinoPredibasepiero.molino@gmail.comPrashant NatarajanH2O.aiprashant.natarajan@gmail.com Deepak KaruppiahMicroStrategydnesmith@microstrategy.com Nancy RauschSASNancy.Rausch@sas.comDalton RuerQlikDalton.Ruer@qlik.comSachin SinhaMicrosoftsachin.sinha@microsoft.comYi ShaoIBMshaoyi@cn.ibm.comGerard ValerioTableaugvalerio@tableau.comLingyan YinSalesforcelingyan.yin@salesforce.com

Past Publication

Human-Centered AI for BI Industry:  https://lfaidata.foundation/wp-content/uploads/sites/68/2020/12/2020-LF-AI-%5E0-Data-Human_Centered-AI.pdf

BI Endgame - When BI Meets AI: https://www.odpi.org/wp-content/uploads/sites/9/2019/11/BI-Endgame-When-AI-Meets-BI.pdf

“BI”g Data: https://www.odpi.org/wp-content/uploads/sites/9/2018/12/ODPi_Whitepaper_BIGData.pdf 

Data Science Notebook Guideline: https://lfaidata.foundation/wp-content/uploads/sites/68/2020/12/odpi_wp_data_science_notebook_guidelines_111617.pdf 

Meetings

How to Join:

Bi-weekly meeting every other Wednesday at 4PM ET: https://lists.lfaidata.foundation/g/biai-discussion/ics/9276550/1026026445/feed.ics

https://umd.zoom.us/j/96695340839?pwd=Z1o5bUR1VkhJRFJmcW83bDdrTjA0dz09 

Meeting Content (minutes / recording / slides / other):

  • 2021-02-03 

    Widget Connector
    urlhttp://youtube.com/watch?v=KTdr2OkLl-o

  • 2020-02-17 
    Widget Connector
    urlhttp://youtube.com/watch?v=ktDPN6xwJAs
  • 2020-03-03 
    Widget Connector
    urlhttps://www.youtube.com/watch?v=hpVOpyFfoSE
  • 2020-03-17 
    Widget Connector
    urlhttps://www.youtube.com/watch?v=HfHnHcDcOio
  • 2021-04-14: 
    Widget Connector
    urlhttp://youtube.com/watch?v=7qXhXa9iQ9o
  • 2021-04-28: 
    Widget Connector
    urlhttp://youtube.com/watch?v=aGdBgjOWgHk
  • 2021-05-12: 
    Widget Connector
    urlhttp://youtube.com/watch?v=_wE_szFLV6I
  • 2021-06-09: 
    Widget Connector
    urlhttp://youtube.com/watch?v=DbJhiNZzAPs
  • 2021-06-23: 
    Widget Connector
    urlhttp://youtube.com/watch?v=dYFqfXq1YWY
  • 2021-07-07: 
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    urlhttp://youtube.com/watch?v=3oFKhtezLgs
  • 2021-08-04: 
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    urlhttp://youtube.com/watch?v=oWfWfipUyF4
  • 2021-08-18: 
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    urlhttp://youtube.com/watch?v=BITthXQ0SPA
  • 2021-09-01: 
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    urlhttp://youtube.com/watch?v=vY6ZuTwlksA
  • 2021-09-15: 
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    urlhttp://youtube.com/watch?v=ActWTuC9FDY

Table of Contents

Overview

Technology around Business Intelligence (BI) has been developed since 1990s. Most of the BI tools was built because of the sprout of Relation Database Management System (RDBMS). After many years of development and evolution, BI is now a pretty mature area that most modern corporations embrace and has a long history to help human to understand data in an intuited way.

On the other hand, the growth of AI has been exploded since 2010s. AI models can now run on Big Data much more cost effective than years ago by ever-improving algorithms in a lightening speed. However, speed without correct direction can lead to issues such as bias results, if not disaster.

Hence, there is a need for the convergence of traditional BI and AI disciplines including Machine Learning, Deep Learning by this equation AI + BI = CI.

The goal of this committee is to integrate the power of AI and BI to make it CI (Cognitive Intelligence) by combing the speed machines accelerate (AI) with the direction intuited by human insight (BI). We have the following mission:

  • Increase the interoperability for the BI vendors and AI technology
  • Propose industry best practices and standard for how BI and AI can work together
  • Promote practical guidelines on how to run AI model on BI tools

2021 Initiative Open BI/AI Connectivity OBAIC

  • “AI ODBC for BI”
  • Once this is defined and developed, BI vendors can connect to any AI framework (TensorFlow, PyTorch… etc) freely without concerning about the underlying implementation, just like what we used to have for database with ODBC
  • As a BI platform, what specific call do I need this standard to provide so that I can better leverage any underlying AI/ML framework?
  • As an AI practitioner, what should be the common denominator an AI framework should provide to support this standard?

Mailing Lists

Participants

Chairperson: Cupid Chan 

Name

Affiliation

Email

LF ID

Travis AddairPredibasetgaddair@gmail.comCupid Chan4C Decisioncchan@4cdecision.com 

Cupid Chan

Xiangxiang MengRedfinxiangxiang.meng@redfin.comPiero MolinoPredibasepiero.molino@gmail.comPrashant NatarajanH2O.aiprashant.natarajan@gmail.com Deepak KaruppiahMicroStrategydnesmith@microstrategy.com Nancy RauschSASNancy.Rausch@sas.comDalton RuerQlikDalton.Ruer@qlik.comSachin SinhaMicrosoftsachin.sinha@microsoft.comYi ShaoIBMshaoyi@cn.ibm.comGerard ValerioTableaugvalerio@tableau.comLingyan YinSalesforcelingyan.yin@salesforce.com

Past Publication

Human-Centered AI for BI Industry:  https://lfaidata.foundation/wp-content/uploads/sites/68/2020/12/2020-LF-AI-%5E0-Data-Human_Centered-AI.pdf

BI Endgame - When BI Meets AI: https://www.odpi.org/wp-content/uploads/sites/9/2019/11/BI-Endgame-When-AI-Meets-BI.pdf

“BI”g Data: https://www.odpi.org/wp-content/uploads/sites/9/2018/12/ODPi_Whitepaper_BIGData.pdf 

Data Science Notebook Guideline: https://lfaidata.foundation/wp-content/uploads/sites/68/2020/12/odpi_wp_data_science_notebook_guidelines_111617.pdf 

Meetings

How to Join:

Bi-weekly meeting every other Wednesday at 4PM ET: https://lists.lfaidata.foundation/g/biai-discussion/ics/9276550/1026026445/feed.ics

https://umd.zoom.us/j/96695340839?pwd=Z1o5bUR1VkhJRFJmcW83bDdrTjA0dz09 

Meeting Content (minutes / recording / slides / other):

  • 2021-02-03 
    Widget Connector
    urlhttp://youtube.com/watch?v=
    KTdr2OkLl-o
    fIj3Bop0FkE
     
  • 2021-09-15: 2020-02-17 
    Widget Connector
    urlhttp://youtube.com/watch?v=ktDPN6xwJAsActWTuC9FDY
  • 20202021-0309-03 01: 
    Widget Connector
    urlhttpshttp://www.youtube.com/watch?v=hpVOpyFfoSEvY6ZuTwlksA
    2020
  • 2021-0308-17 18: 
    Widget Connector
    urlhttpshttp://www.youtube.com/watch?v=HfHnHcDcOioBITthXQ0SPA
  • 2021-08-04-14: 
    Widget Connector
    urlhttp://youtube.com/watch?v=7qXhXa9iQ9ooWfWfipUyF4
  • 2021-0407-2807: 
    Widget Connector
    urlhttp://youtube.com/watch?v=aGdBgjOWgHk3oFKhtezLgs
  • 2021-0506-1223: 
    Widget Connector
    urlhttp://youtube.com/watch?v=_wE_szFLV6IdYFqfXq1YWY
  • 2021-06-09: 
    Widget Connector
    urlhttp://youtube.com/watch?v=DbJhiNZzAPs
  • 2021-0605-2312: 
    Widget Connector
    urlhttp://youtube.com/watch?v=dYFqfXq1YWY_wE_szFLV6I
  • 2021-0704-0728: 
    Widget Connector
    urlhttp://youtube.com/watch?v=3oFKhtezLgsaGdBgjOWgHk
  • 2021-0804-0414: 
    Widget Connector
    urlhttp://youtube.com/watch?v=oWfWfipUyF47qXhXa9iQ9o
    2021
  • 2020-0803-18: 17 
    Widget Connector
    urlhttphttps://www.youtube.com/watch?v=BITthXQ0SPAHfHnHcDcOio
    2021
  • 2020-0903-01: 03 
    Widget Connector
    urlhttphttps://www.youtube.com/watch?v=vY6ZuTwlksAhpVOpyFfoSE
    2021
  • 2020-0902-15: 17 
    Widget Connector
    urlhttp://youtube.com/watch?v=ActWTuC9FDYktDPN6xwJAs
  • 2021-0902-29: 03 
    Widget Connector
    urlhttp://youtube.com/watch?v=FM1p_0FVIHoKTdr2OkLl-o