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Capability

Metadata is part of a feedback loop to optimize AI RPA training

A business' core assets and associated metadata are part of a continuous optimization loop, where SMEs confirm or correct predictions, and the system learns from this.
Solves the problems
Lack of a training corpus for AI systems
Important for these Maturity Models
Digital Media Metadata Maturity Model
Stage 5: Knowledge Graph Metadata as a Platform - Maturity Stage
Your Knowledge Graph enables seamless journeys around the core business information model, and provides essential information management tools to human and machine users.
Digital Media Metadata Maturity Model
Involves these Technologies
Machine Learning (ML)
Artificial Intelligence (AI)
AI is a core discipline at Data Language, with an expert team skilled in machine learning, deep learning, and scalable Production AI engineering. AI is advancing as the key technology that all businesses need to master.
Training Corpus
A training corpus is a collection of digital assets and associated metadata that is used to train a machine learning model. This is an essential part of AI automation.