Resources

Point72 Partners with Cambridge Semantics to Deliver Next-Generation Compliance Solut …

Global Asset Management firm, Point72, is deploying a suite of compliance applications spanning surveillance, investigations, and analysis built on Cambridge Semantics’ Anzo knowledge graph platform.

Why There’s A Need for Knowledge Graphs

This blog post explores how a knowledge graph has the ability to support agile development and data integration while connecting data across the enterprise.

What’s Holding You Back? 5 Common Barriers

In this video, our technical team shares common obstacles to launching a knowledge graph project shared across industries. Here are the common barriers and how to avoid them.

5 Common Barriers to Launching a Knowledge Graph Project

Across industries our technical experts have found themes in obstacles to launching a knowledge graph project. Here are the common barriers and how to avoid them.

Accelerating Data Science with Knowledge Graphs

Semantic knowledge graph platforms–like our Anzo–help organizations overcome scalability challenges by accelerating core data science processes like data preparation and feature engineering.

VIDEO: Ontology Management with a Scaleable Knowledge Graph

In this video Stephen Kahmann from
Cambridge Semantics’ partner iNovex answers your questions about the use of a knowledge graph to enable ontology management.

Managed Vocabularies, Ontologies, and an Enterprise Scale Knowledge Graph: A Primer

This blog provides a primer on the concepts of managed vocabularies and ontologies and how they relate to and can be implemented in a knowledge graph. This is an excerpt from the ebook The Rise of the Knowledge Graph.

The State of the Knowledge Graph

For our knowledge quest enjoyment the authors of the recent O’Reilly ebook The Rise of the Knowledge Graph are doing a live webinar exploring the universe of knowledge graphs and their role in data-intensive use cases like customer 360, fraud detection, drug and clinical data analysis, and other advanced analytics.

Knowledge Graph Conference

If you’re attending the upcoming virtual Knowledge Graph conference (May 3-6, 2021), be sure to join us in two sessions: a panel discussion with knowledge graph leaders from Merck KGaA, Deloitte, and Bosch on May 6 at noon, and a presentation on building an enterprise scale knowledge graph with Ben Szekely on May 5 at 3:00 pm.

The Fate of Feature Engineering: No Longer Necessary, or Much Easier?

In this contributed article, editorial consultant Jelani Harper believes that features are the definitive data traits enabling machine learning models to accurately issue predictions and prescriptions.

Knowledge Graph: Who Cares? And What Can One Do With It?

In a previous post that described knowledge graphs and their benefits, we discussed how knowledge graphs help organizations make more of their enterprise data easy to find, understand, and use. This post argues for knowledge graph technology and discusses common application areas of knowledge graphs.

Machine Understandable Context and Why It Matters

This post continues the larger discussion of knowledge graphs, their roles, uses and significance. We discuss context, it’s importance, and how to establish it using formal ontology to create machine understandable information. It is useful to read posts, such as Knowledge Graphs: A Love Affair and The Rise of The Knowledge Graph, to understand this article…in context!