From e67382a20f5ff66441597e7b254b3d61e0fd9caf Mon Sep 17 00:00:00 2001 From: Jesse Casman Date: Thu, 10 Oct 2024 21:26:27 -0700 Subject: [PATCH 1/6] adding r-insurance series --- webinars/RInsuranceSeries.qmd | 99 --------------- webinars/images/benedickt.jpg | Bin 121972 -> 94240 bytes ....png => r-insurance-series-main-image.png} | Bin webinars/r-insurance-series.qmd | 120 ++++++++++++++++++ webinars/webinars.qmd | 2 +- 5 files changed, 121 insertions(+), 100 deletions(-) delete mode 100644 webinars/RInsuranceSeries.qmd rename webinars/images/{R Validation Mini-Series Part I & II Youtube.png => r-insurance-series-main-image.png} (100%) create mode 100644 webinars/r-insurance-series.qmd diff --git a/webinars/RInsuranceSeries.qmd b/webinars/RInsuranceSeries.qmd deleted file mode 100644 index 01e0c27..0000000 --- a/webinars/RInsuranceSeries.qmd +++ /dev/null @@ -1,99 +0,0 @@ ---- -title: "R/Insurance Series: For Everyone in Insurance or Actuarial Science" -format: html ---- - ------------------------------------------------------------------------- - -![](R Validation Mini-Series Part I & II Youtube.png) - -# **Summary** - -These four webinars focused on insurance and actuarial science. The webinars were led by two experts in the field, Georgios Bakoloukas, Head Model Development and Analytics at Swiss Re, and Benedikt Schamberger, Head Atelier Technology & AI Consulting at Swiss Re. - -These sessions offered a hands-on exploration of the transition from Excel to basic R, highlighting the benefits of working with R and one possible way to straddle across Excel and R. The subsequent webinars then moved to production-level R, and ultimately to high-performance R applications. - -The webinars were tailored to be accessible to all, requiring no previous experience with the R programming language or specialized knowledge in insurance or actuarial science. Anyone with basic spreadsheet experience or who is considering applying for a bank loan has the necessary background to benefit from these webinars. - -# **All of the webinar recordings are now available!** - -## First Webinar  - -*From Excel to Programming in R* - -Speaker: Georgios Bakoloukas, Head Model Development & Analytics, Group Risk Management, Swiss Re - -{{< video https://www.youtube.com/watch?v=whE6DHMr0AY >}} - -**Quick summary:** - -This video provided an in-depth exploration into the enduring relevance of Excel in the workplace while also emphasizing the benefits of learning to code for increased flexibility and resilience. It highlighted the common working patterns shared between Excel and R, demonstrating how transitioning from traditional spreadsheet computing to best-practice programming can be highly beneficial. - -The webinar featured a straightforward, specific example from the insurance industry to illustrate the advantages of using the R programming language. It also presented a practical approach for integrating the thought processes and methodologies of both Excel and R, showcasing how professionals can effectively straddle these two powerful tools in their work. - ------------------------------------------------------------------------- - -## Second Webinar  - -*From programming in R to putting R into production* - -Speaker: Georgios Bakoloukas, Head Model Development & Analytics, Group Risk Management, Swiss Re - -{{< video https://www.youtube.com/watch?v=UzpeG20eA8o >}} - -**Quick summary:** \ -We could solve problems using coding, but how could we help others solve the same problem in the future? Sharing data and solutions was critical for real-world insurance professionals and actuarial scientists. - -Continuing the example from the first webinar, Georgios illustrated ways to document and test the solution and made it available to others using R’s frameworks for packaging, Web API creation, and graphical user interface generation (Shiny). - ------------------------------------------------------------------------- - -## Third Webinar - -*R performance culture* - -Speaker: Benedikt Schamberger, Head Atelier Technology & AI Consulting, Swiss Re - -{{< video https://www.youtube.com/watch?v=1mGZRHoS62A >}} - -**Quick summary:** - -Premature optimization was the root of all evil. But there were occasions when we needed to improve the performance of critical code. Benedikt covered how performance fit into R’s design, what tools were available to tune it, and examples of what other aspects should be considered beyond pure runtime. - ------------------------------------------------------------------------- - -## Fourth Webinar - -*High performance programming in R* - -Speaker: Benedikt Schamberger, Head Atelier Technology & AI Consulting, Swiss Re - -{{< video https://www.youtube.com/watch?v=oDBAlLHPgrM >}} - -**Quick summary:** - -In this webinar, Benedikt discussed how comma-separated values (CSV) files were commonly used when working with data files, as they were easy to read for humans and supported by tools like Excel or R. However, these files had a downside in terms of performance and file size. To address this, the industry developed binary formats that were more efficient. Benedikt focused on the Arrow R package and the Parquet file format and how they could help save time and disk space. - ------------------------------------------------------------------------- - -# **Speakers** - -![](georgios.png){width="300"} - -> **Georgios Bakoloukas**, Head Model Development & Analytics, Group Risk Management, Swiss Re -> -> Georgios’ team enables actuarial teams across the group to adopt best-practice programming and data science skills in daily work. Georgios is a Fellow of the Institute of Actuaries (IFoA) and Chair of IFoAs’ Programming for Actuarial Work Working Party. - -![](benedickt.jpg){width="300"} - -> **Benedikt Schamberger**, Head Atelier Technology & AI Consulting, Swiss Re -> -> Benedikt recently joined the Model Development & Analytics team as a Senior Data Science Actuary. Previously, he worked for several years in Swiss Re’s Quantitative Financial Risk Management, validating financial models and risk aggregation methodologies. He supports the Atelier and R programming communities with questions surrounding infrastructure and other everyday challenges. He has an academic background in financial and actuarial mathematics. - ------------------------------------------------------------------------- - -# **The R Adoption Series** - -This is a series of webinars focused on the adoption of R.  Each session will include a case study and often include panels or discussions to enable those starting their journey to ask questions. - -R Consortium will keep this page updated with information on future webinars in the R Adoption series. 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+![](images/r-insurance-series-main-image.png) + +## Summary + +These four webinars focused on insurance and actuarial science. The webinars were led by two experts +in the field, Georgios Bakoloukas, Head Model Development and Analytics at Swiss Re, and Benedikt +Schamberger, Head Atelier Technology & AI Consulting at Swiss Re. + +These sessions offered a hands-on exploration of the transition from Excel to basic R, highlighting the +benefits of working with R and one possible way to straddle across Excel and R. The subsequent webinars +then moved to production-level R, and ultimately to high-performance R applications. + +The webinars were tailored to be accessible to all, requiring no previous experience with the R +programming language or specialized knowledge in insurance or actuarial science. Anyone with basic +spreadsheet experience or who is considering applying for a bank loan has the necessary background to +benefit from these webinars. + +### From Excel to Programming in R + +Speaker: Georgios Bakoloukas, Head Model Development & Analytics, Group Risk Management, Swiss Re + +{{< video https://www.youtube.com/watch?v=whE6DHMr0AY >}} + +#### Quick summary: + +This video provided an in-depth exploration into the enduring relevance of Excel in the workplace while +also emphasizing the benefits of learning to code for increased flexibility and resilience. It highlighted +the common working patterns shared between Excel and R, demonstrating how transitioning from traditional +spreadsheet computing to best-practice programming can be highly beneficial. + +The webinar featured a straightforward, specific example from the insurance industry to illustrate the +advantages of using the R programming language. It also presented a practical approach for integrating +the thought processes and methodologies of both Excel and R, showcasing how professionals can effectively +straddle these two powerful tools in their work. + +------------------------------------------------------------------------ + +### From programming in R to putting R into production + +Speaker: Georgios Bakoloukas, Head Model Development & Analytics, Group Risk Management, Swiss Re + +{{< video https://www.youtube.com/watch?v=UzpeG20eA8o >}} + +#### Quick summary: +We could solve problems using coding, but how could we help others solve the same problem in the future? +Sharing data and solutions was critical for real-world insurance professionals and actuarial scientists. + +Continuing the example from the first webinar, Georgios illustrated ways to document and test the +solution and made it available to others using R’s frameworks for packaging, Web API creation, and +graphical user interface generation (Shiny). + +------------------------------------------------------------------------ + +### R performance culture + +Speaker: Benedikt Schamberger, Head Atelier Technology & AI Consulting, Swiss Re + +{{< video https://www.youtube.com/watch?v=1mGZRHoS62A >}} + +#### Quick summary: + +Premature optimization was the root of all evil. But there were occasions when we needed to improve +the performance of critical code. Benedikt covered how performance fit into R’s design, what tools +were available to tune it, and examples of what other aspects should be considered beyond pure runtime. + +------------------------------------------------------------------------ + +### High performance programming in R + +Speaker: Benedikt Schamberger, Head Atelier Technology & AI Consulting, Swiss Re + +{{< video https://www.youtube.com/watch?v=oDBAlLHPgrM >}} + +#### Quick summary: + +In this webinar, Benedikt discussed how comma-separated values (CSV) files were commonly used when +working with data files, as they were easy to read for humans and supported by tools like Excel or +R. However, these files had a downside in terms of performance and file size. To address this, the +industry developed binary formats that were more efficient. Benedikt focused on the Arrow R package +and the Parquet file format and how they could help save time and disk space. + +------------------------------------------------------------------------ + +## Speakers + +![](images/georgios.png){width="300"} + +> **Georgios Bakoloukas**, Head Model Development & Analytics, Group Risk Management, Swiss Re +> +> Georgios’ team enables actuarial teams across the group to adopt best-practice programming and +data science skills in daily work. Georgios is a Fellow of the Institute of Actuaries (IFoA) and +Chair of IFoAs’ Programming for Actuarial Work Working Party. + +![](images/benedickt.jpg){width="300"} + +> **Benedikt Schamberger**, Head Atelier Technology & AI Consulting, Swiss Re +> +> Benedikt recently joined the Model Development & Analytics team as a Senior Data Science Actuary. +Previously, he worked for several years in Swiss Re’s Quantitative Financial Risk Management, +validating financial models and risk aggregation methodologies. He supports the Atelier and R +programming communities with questions surrounding infrastructure and other everyday challenges. +He has an academic background in financial and actuarial mathematics. + +------------------------------------------------------------------------ + +## The R Adoption Series + +This is a series of webinars focused on the adoption of R. Each session will include a case study +and often include panels or discussions to enable those starting their journey to ask questions. + +R Consortium will [keep this page updated](webinars.html) with information on future webinars in the R Adoption series. +If there is some information that you are looking for specifically and you don’t see it here, feel +free to email us at info\@r-consortium.org. diff --git a/webinars/webinars.qmd b/webinars/webinars.qmd index 7db3bd7..218e5da 100644 --- a/webinars/webinars.qmd +++ b/webinars/webinars.qmd @@ -52,7 +52,7 @@ Learn more: [From Vision to Action: The Pfizer R Center of Excellence-led journe ![](https://archive.r-consortium.org/wp-content/uploads/sites/13/2023/12/R-Validation-Mini-Series-Part-I-II-Youtube-1-4-1024x576.png){width=50%} -Learn more: [R/Insurance Series:  For Everyone in Insurance or Actuarial Science](https://archive.r-consortium.org/r-insurance-series-for-everyone-in-insurance-or-actuarial-science) +Learn more: [R/Insurance Series: For Everyone in Insurance or Actuarial Science](r-insurance-series.qmd) The R/Insurance Series is offered four webinars this January. The video recordings of the previous R/Insurance Series webinar, “From Excel to Programming in R,” “From programming in R to putting R into production,” and “R performance culture,” are now available at the link above. From 73cf445bb7b9f98da9615dd2f2d5fde7f054783a Mon Sep 17 00:00:00 2001 From: Jesse Casman Date: Thu, 10 Oct 2024 21:32:55 -0700 Subject: [PATCH 2/6] adding oracle webinar --- webinars/EscapeTheDataDungeon.qmd | 41 -------------- webinars/escape-the-data-dungeon.qmd | 56 +++++++++++++++++++ ...y-finance-and-accessing-financial-data.qmd | 2 +- webinars/webinars.qmd | 2 +- 4 files changed, 58 insertions(+), 43 deletions(-) delete mode 100644 webinars/EscapeTheDataDungeon.qmd create mode 100644 webinars/escape-the-data-dungeon.qmd diff --git a/webinars/EscapeTheDataDungeon.qmd b/webinars/EscapeTheDataDungeon.qmd deleted file mode 100644 index c545bac..0000000 --- a/webinars/EscapeTheDataDungeon.qmd +++ /dev/null @@ -1,41 +0,0 @@ ---- -title: "Escape the Data Dungeon: Unlock Scalable R Analytics and ML" ---- - -{{< video https://www.youtube.com/watch?v=CNl3BmJiW7c >}} - -## **Summary:** - -Tired of sluggish R data processing and limited Machine Learning (ML) options with large databases? Imagine swiftly predicting customer churn and deploying solutions with ease. Watch our in-depth Oracle Machine Learning for R (OML4R) webinar to learn more! - -Key topics included: - -- Seamless In-Database Access: Jump straight into your data without the drag of extractions. - -- Scalable High-Performance Data Processing: Handle huge datasets effortlessly. - -- Integrated In-Database ML: Develop and deploy potent models right within your database. - -- Effortless Production Deployment: Streamline your R scripts from development to production. - -Found out more about OML4R through practical examples in product bundling, demand forecasting, and customer churn prediction. Escape the data grind and transformed your R experience. - -## **Speaker** - -![](MarkHornick.jpg) - -> Mark Hornick, Senior Director, Oracle Machine Learning. -> -> Mark Hornick is senior director of product management for Oracle Machine Learning. Mark has more than 20 years of experience integrating and leveraging machine learning with Oracle software as well as working with internal and external customers to apply Oracle’s machine learning technologies. He has been involved with R technology for the past 15 years.  Mark is Oracle’s representative to the R Consortium and is an Oracle Adviser of the Analytics and Data Oracle User Community. He has been issued seven US patents. Mark holds a bachelor’s degree from Rutgers University and a master’s degree from Brown University, both in computer science. Follow him on Twitter \@MarkHornick and connect on LinkedIn. - -![](SherryLaMonica.png) - -> Sherry LaMonica, Consulting MTS, Oracle Machine Learning. -> -> Sherry is a member of the Oracle Machine Learning Product Management team. She has 20 years of software experience focused on enabling the commercial use of the open-source data analysis software systems with R and Python for data science and machine learning projects. She has worked with customers in fields as diverse as pharmaceutical research, financial analysis, manufacturing, and healthcare IT. - -## **The R Adoption Series** - -This is a series of webinars focused on the adoption of R.  Each session will include a case study and often include panels or discussions to enable those starting their journey to ask questions. - -R Consortium will keep this page updated with information on future webinars in the R Adoption series. If there is some information that you are looking for specifically and you don’t see it here, feel free to email us at info\@r-consortium.org. diff --git a/webinars/escape-the-data-dungeon.qmd b/webinars/escape-the-data-dungeon.qmd new file mode 100644 index 0000000..11e1817 --- /dev/null +++ b/webinars/escape-the-data-dungeon.qmd @@ -0,0 +1,56 @@ +--- +title: "Escape the Data Dungeon: Unlock Scalable R Analytics and ML" +--- + +{{< video https://www.youtube.com/watch?v=CNl3BmJiW7c >}} + +## Summary: + +Tired of sluggish R data processing and limited Machine Learning (ML) options with large databases? +Imagine swiftly predicting customer churn and deploying solutions with ease. Watch our in-depth Oracle +Machine Learning for R (OML4R) webinar to learn more! + +Key topics included: + +- Seamless In-Database Access: Jump straight into your data without the drag of extractions. + +- Scalable High-Performance Data Processing: Handle huge datasets effortlessly. + +- Integrated In-Database ML: Develop and deploy potent models right within your database. + +- Effortless Production Deployment: Streamline your R scripts from development to production. + +Found out more about OML4R through practical examples in product bundling, demand forecasting, and +customer churn prediction. Escape the data grind and transformed your R experience. + +## Speaker + +![](images/MarkHornick.jpg){width=40%} + +> #### Mark Hornick, Senior Director, Oracle Machine Learning +> +> Mark Hornick is senior director of product management for Oracle Machine Learning. Mark has +more than 20 years of experience integrating and leveraging machine learning with Oracle software +as well as working with internal and external customers to apply Oracle’s machine learning technologies. +He has been involved with R technology for the past 15 years.  Mark is Oracle’s representative to the +R Consortium and is an Oracle Adviser of the Analytics and Data Oracle User Community. He has been +issued seven US patents. Mark holds a bachelor’s degree from Rutgers University and a master’s degree +from Brown University, both in computer science. Follow him on Twitter \@MarkHornick and connect on LinkedIn. + +![](images/SherryLaMonica.png){width=40%} + +> #### Sherry LaMonica, Consulting MTS, Oracle Machine Learning +> +> Sherry is a member of the Oracle Machine Learning Product Management team. She has 20 years of software +experience focused on enabling the commercial use of the open-source data analysis software systems with R +and Python for data science and machine learning projects. She has worked with customers in fields as +diverse as pharmaceutical research, financial analysis, manufacturing, and healthcare IT. + +## The R Adoption Series + +This is a series of webinars focused on the adoption of R. Each session will include a case study +and often include panels or discussions to enable those starting their journey to ask questions. + +R Consortium will [keep this page updated](webinars.html) with information on future webinars in the R Adoption series. +If there is some information that you are looking for specifically and you don’t see it here, feel +free to email us at info\@r-consortium.org. \ No newline at end of file diff --git a/webinars/new-webinar-tidy-finance-and-accessing-financial-data.qmd b/webinars/new-webinar-tidy-finance-and-accessing-financial-data.qmd index f579cf9..81dc4d6 100644 --- a/webinars/new-webinar-tidy-finance-and-accessing-financial-data.qmd +++ b/webinars/new-webinar-tidy-finance-and-accessing-financial-data.qmd @@ -29,6 +29,6 @@ Christoph Scheuch introduces Tidy Finance and illustrates the underlying princip ## The R Adoption Series -This is a series of webinars focused on the adoption of R.  Each session will include a case study and often include panels or discussions to enable those starting their journey to ask questions. +This is a series of webinars focused on the adoption of R. Each session will include a case study and often include panels or discussions to enable those starting their journey to ask questions. R Consortium will keep this page updated with information on future webinars in the R Adoption series. If there is some information that you are looking for specifically and you don’t see it here, feel free to email us at info@r-consortium.org. \ No newline at end of file diff --git a/webinars/webinars.qmd b/webinars/webinars.qmd index 218e5da..159439a 100644 --- a/webinars/webinars.qmd +++ b/webinars/webinars.qmd @@ -42,7 +42,7 @@ Learn more: [Tidy Finance and Accessing Financial Data](new-webinar-tidy-finance ![](https://archive.r-consortium.org/wp-content/uploads/sites/13/2024/01/R-Validation-Mini-Series-Part-I-II-Youtube-1-4-1024x576.png){width=50%} -Learn more: [Escape the Data Dungeon: Unlock Scalable R Analytics and ML](https://archive.r-consortium.org/escape-the-data-dungeon-unlock-scalable-r-analytics-and-ml) +Learn more: [Escape the Data Dungeon: Unlock Scalable R Analytics and ML](escape-the-data-dungeon.qmd) ![](https://archive.r-consortium.org/wp-content/uploads/sites/13/2024/01/R-Validation-Mini-Series-Part-I-II-Youtube-1-1.54.34%E2%80%AFPM-1024x576.png){width=50%} From 6e3653d75754bdf32b09fcdccf55c5fa8d6029ff Mon Sep 17 00:00:00 2001 From: Jesse Casman Date: Thu, 10 Oct 2024 21:39:32 -0700 Subject: [PATCH 3/6] adding pfizer webinar --- webinars/FromVisionToAction.qmd | 22 ------------ ...tion-the-pfizer-r-center-of-excellence.qmd | 35 +++++++++++++++++++ webinars/webinars.qmd | 2 +- 3 files changed, 36 insertions(+), 23 deletions(-) delete mode 100644 webinars/FromVisionToAction.qmd create mode 100644 webinars/from-vision-to-action-the-pfizer-r-center-of-excellence.qmd diff --git a/webinars/FromVisionToAction.qmd b/webinars/FromVisionToAction.qmd deleted file mode 100644 index 34c3bd4..0000000 --- a/webinars/FromVisionToAction.qmd +++ /dev/null @@ -1,22 +0,0 @@ ---- -title: "From Vision to Action: The R Pfizer R Center of Excellence-led Journey to R Adoption" -format: html ---- - -{{< video https://www.youtube.com/watch?v=_f-JyLDcPXE&t=6s >}} - -## **Summary** - -The webinar by the R consortium titled “From Vision to Action: The R Pfizer R Center of Excellence-led Journey to R Adoption” was not just a case study of Pfizer’s journey. It was a platform for sharing valuable insights and strategies applicable across industries and experience levels. Viewers can learn about the importance of an engaged R community and practical approaches to building and maintaining such a community within their organizations. - -## **Speaker** - -![](Andriychuk_Natalia_ProfilePic.jpg) - -> Natalia Andriychuk is a Statistical Data Scientist in the R Center of Excellence SWAT (Scientific Workflows and Analytic Tools) team at Pfizer. In her current role, Natalia provides robust technical solutions to business lines across Pfizer utilizing strong technical knowledge of R, R packages, Shiny, and other associated data science and data analytics tools. She develops training on R and associated tools for Pfizer colleagues and helps to build an R community at Pfizer. Natalia is an advocate for the open source development as she passionately believes in the transformative power collaborative innovation and knowledge sharing. - -## **The R Adoption Series** - -This is a series of webinars focused on the adoption of R.  Each session will include a case study and often include panels or discussions to enable those starting their journey to ask questions. - -R Consortium will keep this page updated with information on future webinars in the R Adoption series. If there is some information that you are looking for specifically and you don’t see it here, feel free to email us at info\@r-consortium.org. diff --git a/webinars/from-vision-to-action-the-pfizer-r-center-of-excellence.qmd b/webinars/from-vision-to-action-the-pfizer-r-center-of-excellence.qmd new file mode 100644 index 0000000..9fceb26 --- /dev/null +++ b/webinars/from-vision-to-action-the-pfizer-r-center-of-excellence.qmd @@ -0,0 +1,35 @@ +--- +title: "From Vision to Action: The R Pfizer R Center of Excellence-led Journey to R Adoption" +format: html +--- + +{{< video https://www.youtube.com/watch?v=_f-JyLDcPXE&t=6s >}} + +## Summary + +The webinar by the R consortium titled “From Vision to Action: The R Pfizer R Center of Excellence-led +Journey to R Adoption” was not just a case study of Pfizer’s journey. It was a platform for sharing +valuable insights and strategies applicable across industries and experience levels. Viewers can learn +about the importance of an engaged R community and practical approaches to building and maintaining +such a community within their organizations. + +## Speaker + +![](images/Andriychuk_Natalia_ProfilePic.jpg){width=40%} + +> Natalia Andriychuk is a Statistical Data Scientist in the R Center of Excellence SWAT +(Scientific Workflows and Analytic Tools) team at Pfizer. In her current role, Natalia provides +robust technical solutions to business lines across Pfizer utilizing strong technical knowledge of +R, R packages, Shiny, and other associated data science and data analytics tools. She develops +training on R and associated tools for Pfizer colleagues and helps to build an R community at Pfizer. +Natalia is an advocate for the open source development as she passionately believes in the transformative +power collaborative innovation and knowledge sharing. + +## The R Adoption Series + +This is a series of webinars focused on the adoption of R. Each session will include a case study +and often include panels or discussions to enable those starting their journey to ask questions. + +R Consortium will [keep this page updated](webinars.html) with information on future webinars in the R Adoption series. +If there is some information that you are looking for specifically and you don’t see it here, feel +free to email us at info\@r-consortium.org. \ No newline at end of file diff --git a/webinars/webinars.qmd b/webinars/webinars.qmd index 159439a..53fe3e7 100644 --- a/webinars/webinars.qmd +++ b/webinars/webinars.qmd @@ -47,7 +47,7 @@ Learn more: [Escape the Data Dungeon: Unlock Scalable R Analytics and ML](escape ![](https://archive.r-consortium.org/wp-content/uploads/sites/13/2024/01/R-Validation-Mini-Series-Part-I-II-Youtube-1-1.54.34%E2%80%AFPM-1024x576.png){width=50%} -Learn more: [From Vision to Action: The Pfizer R Center of Excellence-led journey to R Adoption](https://archive.r-consortium.org/from-vision-to-action-the-r-pfizer-r-center-of-excellence-led-journey-to-r-adoption) +Learn more: [From Vision to Action: The Pfizer R Center of Excellence-led journey to R Adoption](from-vision-to-action-the-pfizer-r-center-of-excellence.qmd) ![](https://archive.r-consortium.org/wp-content/uploads/sites/13/2023/12/R-Validation-Mini-Series-Part-I-II-Youtube-1-4-1024x576.png){width=50%} From 9de71171cad59e0d35c5fe2ebf662a12cb816f86 Mon Sep 17 00:00:00 2001 From: Jesse Casman Date: Thu, 10 Oct 2024 21:44:16 -0700 Subject: [PATCH 4/6] moving oracle main image locally --- ...acle-main-image-escape-the-date-dungeon.png | Bin 0 -> 485149 bytes 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