IN THE NEWS Archives - Page 2 of 14

Roll Call: Visual Graph Data Models Today

In this article for Dataversity, Thomas Frisendal discusses the current state of the graph Data Modeling universe in 2020, with brief overviews of some of the graph tools supporting property graph Data Models.

The 18 Best Data Catalog Tools and Software for 2020

Solutions Review’s listing of the best data catalog tools is an annual mashup of products that best represent current market conditions based on each solution’s Authority Score; a meta-analysis of real user sentiment through the web’s most trusted business software review sites and SR’s own proprietary five-point inclusion criteria.

Big Data Quotes of the Week – June 17, 2020

Our own Steve Sarsfield’s recent blogpost on Knowledge Graphs, ‘Overcoming Common Barriers to the Knowledge Graph’, was included in Data Decisioning’s Big Data Quotes of the Week.

Gaining Insight into the New World of Database Technologies at Data Summit Connect 20 …

DBTA discusses our recent session titled “AnzoGraph DB: Driving AI and Machine Insights with Knowledge Graphs in a Connected World” at Data Summit Connect, a free 3-day series of data-focused webinars, which offered a primer on graph database technology and the rapid growth of knowledge graphs.

2020 KMWorld 100: 16 Data Management Vendors that Matter Most

The editors at Solutions Review compiled their own list of 16 data management vendors that matter most based on the recently published 2020 KMWorld 100 listing. Cambridge Semantics made the list.

Vue vs. React vs. Angular: Developers Share Their Favorite Tech

Built in Boston interviews Simon Martin, our VP of Engineering and Support, about which library or framework he has found is best for tackling front-end web development projects at Cambridge Semantics.

The Nucleus of Statistical AI: Feature Engineering Practicalities for Machine Learnin …

Cambridge Semantics’ CTO Sean Martin discusses the importance of Featuring Engineering techniques involving graph embedding for improved predictive Machine Learning in this article for AiThority.

THE SMART MONEY: Decoupling financial services for cross-departmental big data integr …

Monetizing data while complying with regulations in finance is increasingly dependent on the ability to decouple the enterprise-across departments, business lines, and individual services.

Data Preparation for Cognitive Computing Models, Made Easy

This article discusses how semantic data models – also known as ontologies – are tremendously useful for rectifying differences in schema that can otherwise decelerate data preparation processes.

Tomorrow’s Machine Learning Today: Topological Data Analysis, Embedding, and Reinfo …

In this InsideBigData article our CTO, Sean Martin, discusses how the visual manifestations of graph settings are pivotal for generating the features on which to train machine learning models.

Data Management Tools for Our Times

This article in TechCentral.ie discusses the importance of Data Catalogs to enterprises in managing their data and includes Anzo as one of 6 key data preparation platforms.

Knowledge Graph Evolution: Platforms that Speak Your Language

Knowledge graphs are among the most important technologies for the 2020s. This article explains how they are evolving, with vendors such as Cambridge Semantics and standards bodies listening, and platforms becoming fluent in many query languages, including RDF*.