In our previous posts, we have gone through in detail “What is SAP AI Business Services?”, “SAP AI Business Services: Document Classification“, “SAP AI Business Services – Invoice Object Recommendation“,  “SAP AI Business Services – Service Ticket Intelligence“, “SAP AI Business Services – Document Information Extraction“, and “SAP AI Business Services – Business Entity Recognition“.

This blog will see the SAP AI Business Services – Data Attribute Recommendation and its benefits and features in detail.

Data Attribute Recommendation:

Data attribute recommendation uses a machine-learning algorithm to detect and predict entities, whether products, users, and any other data entity in master or transactions data.

Data Attribute Recommendation Features:
  • Manage Training Data – Create machine=learning model based on organization business requirements data attribute.
  • Manage Machine Learning Model – The trained machine-learning model then we can predict to classify those records.
  • Classify Records – Assign trained machine-learning models to the different data attributes.

Technical Info:

SAP AI Business Services – Data Attribute Recommendation runs on Amazon AWS Platform. In addition, it runs in the SAP Cloud Foundry.

Source: SAP

Further Reading

Posts on SAP:

SAP AI Business Services – Business Entity Recognition

SAP AI Business Services – Document Information Extraction

SAP AI Business Services – Service Ticket Intelligence

SAP AI Business Services: Document Classification

SAP AI Business Services

SAP Intelligent Robotic Process Automation, Use Case, Benefits, and Available Features

SAP Conversational AI

A simple wireframe design for SAP FIORI UI Chatbot

Simplified SAP GTS Customs Export/Import Documentation with SAP Event Management

How to create your own SAP Fiori Chatbot in 10 days?

The Unknown truth of SAP TM, SAP EM, and SAP CRM

Preconfigured Visibility Process Scenarios in SAP Event Management – Part I

Why we like the SAP Business Rule Framework Plus (SAP BRF+) Recipe?

Posts on Artificial Intelligence, Deep Learning, Machine Learning, and Design Thinking articles:

Rasa X Open Source Conversational AI UI Walk-through

Artificial Intelligence Chatbot Using Neural Network and Natural Language Processing

Code Example: Import EMNIST Dataset and Print Handwritten Letters

Forecasting a Time Series and Recurrent Neural Network(RNNs)

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MNIST Largest Handwritten Digits Database

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