Twenty years ago, my development team built a natural language processing engine that scanned employment, auto, and real estate advertisements for searchable categories. I knew that we had a difficult ...

Every decade seems to have its database. During the 1990s, the relational database became the principal data environment, its ease of use and tabular arrangement making it a natural for the growing ...

Data.world, a vendor offering a knowledge graph powered, cloud-native enterprise data catalog solution, has announced it has closed a $26 million round of venture capital funding led by Tech Pioneers ...

First, you get the software: Operating systems, search engines, browsers, and social networks. Then, you get the hardware: Mobile phones, data centers, cloud. Then, you get a gradually expanding ...

Part I of our series on graph analytics introduced us to graph analytics, and its brethren graph databases. We talked about the use of graph analytics to understand and visualize relationships between ...

Unpacking the next data platform is a crucial process in the constantly changing world of data and artificial intelligence. It involves understanding metadata knowledge graphs and how different layers ...

Alexander Jarasch, head of data management and knowledge management at the DZD (Deutsches Zentrum für Diabetesforschung), the German Centre for Diabetes Research, hopes the effort that scientists, ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now The graph database stands as one of the ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...