diff --git a/modules/mfd-about-mlops-fraud-detection.adoc b/modules/mfd-about-mlops-fraud-detection.adoc index 0a409ec34..71b8f4f6f 100644 --- a/modules/mfd-about-mlops-fraud-detection.adoc +++ b/modules/mfd-about-mlops-fraud-detection.adoc @@ -33,8 +33,7 @@ This architecture pattern demonstrates four strengths: * *Cost Efficiency*: By automating the detection process, AI reduces the need for extensive manual review of transactions, which can be time-consuming and costly. * *Flexibility and Agility*: An cloud native architecture that supports the use of microservices, containers, and serverless computing, allowing for more flexible and agile development and deployment of AI models. This means faster iteration and deployment of new fraud detection algorithms. +== Demo Video -// video link to a presentation on the use case -.Overview of the solution in credit card fraud detection -* video link coming soon -// video::VHjpKIeviFE[youtube] \ No newline at end of file +.Overview of the solution for credit card fraud detection +video::S4gVUclXlT8[youtube] \ No newline at end of file diff --git a/modules/mfd-architecture.adoc b/modules/mfd-architecture.adoc index ea1eb60e3..54bf20bbe 100644 --- a/modules/mfd-architecture.adoc +++ b/modules/mfd-architecture.adoc @@ -19,11 +19,11 @@ Description of each component: image::mlops-fraud-detection/mfd-reference-architecture.png[link="/images/mlops-fraud-detection/mfd-reference-architecture.png"] //figure 2 logical -.Logical Architecture -//image::mlops-fraud-detection/mfd-logical-architecture-legend.png[link="/images/mlops-fraud-detection/mfd-logical-architecture-legend.png", width=940] +//.Logical Architecture +//image::mlops-fraud-detection/mfd-logical-architecture.png[link="/images/mlops-fraud-detection/mfd-logical-architecture.png", width=940] //figure 3 Schema -.Data Flow Architecture +//.Data Flow Architecture //image::mlops-fraud-detection/mfd-schema-dataflow.png[link="/images/mlops-fraud-detection/mfd-schema-dataflow.png", width=940] [id="about-technology"]