Best Practices in What’s Ahead in AI, Machine Learning, and Knowledge Graphs

Understanding, Knowing, and Connecting via Knowledge Graphs

Knowledge graphs grant us new and different ways of visualizing our data. The technology connects disparate entities and surfaces the relationships among them. It’s a semantic network comprised of nodes, edges, attributes, and labels. It’s not a spreadsheet with columns and rows, nor a hierarchical listing of folders, subfolders, and sub-subfolders...

Using Knowledge Graphs for Ultimate Business Knowledge  

Data and key business information can continuously be extracted with the help of specialized AI techniques and machine learning models. However, extraction versus comprehension are two very different things, making it critical to have a knowledge base to integrate numerous datasets and show the relationship between different data points...

Flexible AI Knowledge Fabrics with AllegroGraph

Ubiquitous AI requires a new data model approach that unifies typical enterprise data with knowledge bases such as taxonomies, ontologies, industry terms, and other domain knowledge. Franz’s Knowledge Graph approach encapsulates a novel Entity-Event Model, natively integrated with domain ontologies and metadata, and dynamic ways of setting the analytics focus...