Artificial intelligence (AI) creates abundant opportunities for a wide range of intelligent, automated business operations. Two vital capabilities--metadata extraction and data enrichment--rank among the most valuable, commonly used functions for businesses seeking to harness immediate value from organizational data and content. AI-driven techniques for rapidly sorting, filtering, categorizing, and adding context to massive volumes of data can help deliver a distinct business advantage. By combining accessible, cloud-based AI services and customizable, specialized AI tools and training, businesses can shape data and content services to better meet their objectives. Despite the accelerating, never-ending spiral of accumulating content, most businesses aren't gaining the insights they need nor seeing visible operational benefits, as asserted in a Software Development Times article.

One year ago, we launched our Nuxeo Insight service and became the first and, at that time, only Content Services Platform to offer a trainable cloud service for machine learning. For those who might not be familiar with this unique service, Nuxeo Insight is an AI offering that enables our clients to use their own data and content to train custom, machine-learning (ML) models. Custom ML models can be used for a variety of business purposes, including enriching content with new metadata, auto-classifying vital records, identifying products and talent, and even automating forms processing. But the critical thing with Nuxeo Insight is that, because these models are trained with each customer's own data, they are much more accurate, insightful and therefore valuable than the commodity AI services that are available as public cloud offerings. If you are interested in learning more about the distinction between custom and commodity ML models, please refer back to a previous Nuxeo blog posting entitled, "The Difference Between Generic & Contextual AI." Today, we are very pleased to announce another first for Nuxeo Insight.