Dear SAP Community,
Let’s have an overview of the latest features and improvements introduced in each of our SAP AI Business Services in this third quarter of the year! – including:
Get recommendations based on users’ browsing history and/or item description.
Users can return personalized search results based on each user's past behavior with this new intelligent search engine using context-driven and NLP techniques.
This engine performs text preprocessing such as spell-check and correction to select and rank items based on an aggregated score.
Users can:
Learn more about smart-search results >
In case you missed it, our product experts recently hosted an SAP Community Call on Personalized Recommendation including guided demos on how to train and use ML models to deliver these recommendations across a wide range of business scenarios. Have a look at the replay!
Apply machine learning to predict and classify data records.
Users are now able to train and deploy larger models without running into runtime issues . With the approach of dynamic resource allocation , appropriate resource group is selected depending upon the size of the model.
Users can:
Use machine learning to automate your document information extraction processes.
Read this blog by our product manager to set up your free tier option for Document Information Extraction. Start in your production environment right away, try out Document Information Extraction, up to a specific capacity limit, and easily switch to the paid service plan, without losing your work.
Handwriting recognition
Increase efficiency by enabling the automatic extraction of handwritten information in the English language! Users can extract handwritten information in the English language through the API end point /document/jobs/<id>/pages/text or when using the template feature.
Learn more >
The pre-trained model for business cards within Document Information Extraction now supports the Hebrew language.
Detect and highlight entities in unstructured text using machine learning.
Business Entity Recognition is now available in the Amazon Web Services Asia Pacific Northeast region (Tokyo).
Join us on November 15–16, 2022, for a fresh, new virtual and in-person event experience for developers and IT professionals!
Register now >
Explore the catalog of AI sessions >
See you next quarter!
Let’s have an overview of the latest features and improvements introduced in each of our SAP AI Business Services in this third quarter of the year! – including:
- Personalized Recommendation
- Data Attribute Recommendation
- Document Information Extraction
- Business Entity Recognition
Personalized Recommendation
Get recommendations based on users’ browsing history and/or item description.
Intelligent search: natural language processing (NLP) and text preprocessing features
Users can return personalized search results based on each user's past behavior with this new intelligent search engine using context-driven and NLP techniques.
This engine performs text preprocessing such as spell-check and correction to select and rank items based on an aggregated score.
Users can:
- increase search relevancy to enable users and consumers to quickly discover products matching their interests
- improve overall clickthrough rate, conversion rate, and boost sales so that merchants and administrators can meet their business KPIs
Learn more about smart-search results >
In case you missed it, our product experts recently hosted an SAP Community Call on Personalized Recommendation including guided demos on how to train and use ML models to deliver these recommendations across a wide range of business scenarios. Have a look at the replay!
Data Attribute Recommendation
Apply machine learning to predict and classify data records.
Support of Big Data models: avoiding runtime issues and adjusting computation resources
Users are now able to train and deploy larger models without running into runtime issues . With the approach of dynamic resource allocation , appropriate resource group is selected depending upon the size of the model.
Users can:
- Now deploy models with size up to 1.3 GB
Document Information Extraction
Use machine learning to automate your document information extraction processes.
SAP BTP free tier availability
Read this blog by our product manager to set up your free tier option for Document Information Extraction. Start in your production environment right away, try out Document Information Extraction, up to a specific capacity limit, and easily switch to the paid service plan, without losing your work.
Handwriting recognition
Increase efficiency by enabling the automatic extraction of handwritten information in the English language! Users can extract handwritten information in the English language through the API end point /document/jobs/<id>/pages/text or when using the template feature.
Learn more >
Business Card Hebrew support
The pre-trained model for business cards within Document Information Extraction now supports the Hebrew language.
Business Entity Recognition
Detect and highlight entities in unstructured text using machine learning.
Availability in a new region
Business Entity Recognition is now available in the Amazon Web Services Asia Pacific Northeast region (Tokyo).
Join the SAP Community and engage with our AI experts
- SAP AI Business Services
- Business Document Processing
- Personalized Recommendation
- Data Attribute Recommendation
- Service Ticket Intelligence
Save the date for SAP TechEd
Join us on November 15–16, 2022, for a fresh, new virtual and in-person event experience for developers and IT professionals!
Register now >
Explore the catalog of AI sessions >
See you next quarter!
- SAP Managed Tags:
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