Glossary
What are AI services? Pre-built AI functions for intelligent automation.
AI services (Artificial Intelligence services) are cloud-based or on-premises services that enable businesses and developers to utilize AI technologies without conducting extensive in-house research or development. They offer pre-built AI functionalities that can be integrated via APIs or software interfaces.
Types of AI Services
These AI services enable companies to make their processes more efficient, serve customers better, and make data-driven decisions often without deep AI expertise within their own teams.
Language Processing (NLP – Natural Language Processing)
Text Analysis, Sentiment Analysis,
Translations
Examples: Google Cloud Natural Language, AWS Comprehend, IBM Watson NLP
Speech Recognition & Speech Synthesis
Conversion of speech to text and vice versa
Examples: Google Speech-to-Text, Amazon Polly, Microsoft Azure Speech
Image Recognition & Computer Vision
Object Recognition, Face Recognition, Text Recognition (OCR)
Examples: AWS Rekognition, Google Vision AI, OpenCV
Machine Learning & Model Training
Provision of platforms for developing custom AI models
Examples: TensorFlow, PyTorch, AWS SageMaker, Google AutoML
Recommendation systems
Personalized recommendations based on user data
Examples: Amazon Personalize, Google Recommendations AI
Automation & RPA (Robotic Process Automation)
Business Process Automation with AI
Examples: UiPath, Automation Anywhere, Microsoft Power Automate
Machine Learning & Model training
Automated Customer Communication
Examples: Dialogflow, Amazon Lex, IBM Watson Assistant, DookuSense
These are the AI services the MDM Booster uses.
The MDM Booster utilizes various AI-powered services to optimize and automate master data management. Here are the key AI features:
1. Duplicate Detection & Data Cleaning (Computer Vision and NLP)
- Detection and removal of duplicates using artificial intelligence
- Automatic correction of erroneous, incomplete, or inconsistent master data
- Standardization of data formats (e.g., addresses, names, item numbers)
2. Automated Data Classification (Machine Learning and NLP)
- Identification of Data Patterns and Structures for the Categorization of Master Data
- Classification of customer data, supplier data, or item master data
- Improving the Searchability and Analysis of Master Data
3. Data Enrichment (AI-Powered Decision Support)
- Supplementing missing information through intelligent data linking
- Automatic data validation against external sources or corporate policies
4. Automated Data Merging (Entity Resolution & Matching Algorithms)
- Consolidation of inconsistent or duplicate master data records
- Identification of connections between different data sources
5. Process Automation & Real-Time Monitoring (RPA & AI-Powered Workflows)
- Automation of master data processes such as creation, maintenance, and migration
- Monitoring and Real-Time Optimization of Data Quality
6. Support for Data Migrations (Data Intelligence & Predictive Analytics)
- Optimization and acceleration of migrations, e.g., to SAP HANA or Dynamics 365
- Reduction of project duration by up to 80 percent through intelligent automation.
The MDM Booster combines various AI services to improve data quality, consistency, and automation in master data management.
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