{"id":559,"date":"2021-06-21T11:14:17","date_gmt":"2021-06-21T11:14:17","guid":{"rendered":"http:\/\/www.skybridgeinfotech.com\/blog\/?p=559"},"modified":"2024-11-13T06:07:03","modified_gmt":"2024-11-13T06:07:03","slug":"sitecore-machine-learning-sitecore-ai-auto-personalization-services","status":"publish","type":"post","link":"https:\/\/www.skybridgeinfotech.com\/blog\/sitecore-machine-learning-sitecore-ai-auto-personalization-services\/","title":{"rendered":"Sitecore Machine Learning | Sitecore AI Auto Personalization Services"},"content":{"rendered":"

Sitecore Machine Learning | Sitecore AI Auto Personalization Services<\/strong><\/h2>\n

Sitecore AI:<\/strong><\/p>\n

Automation Personalization is a SaaS-based feature, it is hosted in Azure Cloud. It enables the personalization experience of our websites.<\/p>\n

It uses machine learning to gain insights from previous visitors’ experiences on the website.<\/p>\n

It gives a personalized experience for each visitor based on their activities on websites and also visitor\u2019s characteristics such as country, browser.<\/p>\n

It simplifies the Content, Experience editor tasks with personalized experiences to end-users.<\/p>\n

Its main duty is to handle the Sitecore machine learning engine and Sitecore machine learning service.<\/p>\n

Sitecore Cortex:<\/strong><\/p>\n

It is Machine Learning Engine with Sitecore. It built on the top of Sitecore DXP and users analyze any data with DXP.<\/p>\n

Cortex using all the Machine Learning Algorithms and provide all the analysis data and timely content.<\/p>\n

With Cortex, brands can analyze data that has been successful in the past and replicate it every step of the customer experience.<\/p>\n

Sitecore Cortex Processing Engine:<\/strong><\/p>\n

Sitecore Cortex Processing Engine’s role is to perform data processing tasks. Because<\/p>\n

1)The processing engine is built for scale.<\/p>\n

2)It allows you to bind complex jobs to smaller tasks.<\/p>\n

3)It allows you to schedule tasks from a content management instance using task manager API.<\/p>\n

4)Use Task Manager API to register tasks handled by the processing Engine. Register a task to project data from XConnect.<\/p>\n

Extending the Processing Engine:<\/strong><\/p>\n

The developer using the following steps to extend the processing engine.<\/p>\n

1)Create a custom worker.<\/p>\n

2)Create a custom data source that used by the project worker.<\/p>\n

3)Create a custom data projection.<\/p>\n

4)Implement custom model training and model evaluation logic.<\/p>\n

5)Create a custom agent.<\/p>\n

Sitecore Cortex Elements:<\/strong><\/p>\n

It is composed of 3 parts. namely,<\/p>\n

1)DATA<\/p>\n

When a user interacts with your website or digital experience that time XConnect collects data automatically. Those data are custom types, contacts, and interaction points.<\/p>\n

2)FRAMING<\/p>\n

It simplifies the business goals and transforming them into predictable features.<\/p>\n

3)MODEL<\/p>\n

It defines the relationship between the features and labels.<\/p>\n

It uses statistical programming language so that marketers easily and deep understanding of the building of the Cortex model.<\/p>\n

Processing Engine Default Functionality:<\/strong><\/p>\n

1)Build personalization rules and reporting to the database<\/p>\n

2)Content Testing does not use the Machine Learning Server Integration.<\/p>\n

3)Processing Engine has a default integration with Microsoft Learning Server.<\/p>\n

Advantages of Automated Personalization:<\/strong><\/p>\n