The Trend-Setting Products in Knowledge Management 2019
KMWorld magazine has named AnzoGraph a Trend-Setting Product for 2019. This award is reserved for products that break new ground with inventive use of technology or take existing capabilities and continue to refine them to meet emerging requirements.
Interoperability and How to Sustain It
Authored by Sam Chance, Principal Consultant at Cambridge Semantics, this article for Control Engineering discusses how semantic interoperability adds semantic annotations and knowledge enrichment to address issues with information not always being understood by recipients despite standards for data formats and structures.
2020 Trends in Data Science: Vanquishing the Skills Shortage for Good
In this article for AI Business, Jelani Harper discusses how self-service visualization, data preparation, data modeling, virtualization, and more, are quietly overcoming the data science skills shortage, with insights by various thought leaders including our own CTO, Sean Martin.
Webinar: Graph Databases on the Edge
This code-lite session by Dataversity being held on Dec. 12th at 2 pm ET is a primer on graph databases and the relationship data stored in them for the analytics architect in the enterprise. It will help you determine why, how, and where to apply graphs, and how to get started.
Cambridge Semantics to Present at Connected Data London 2019
Cambridge Semantics’ Alok Prasad, President, and Thomas Cook, Director of Sales, will co-present, “Graph Database Use Cases: Why and How Graph is Being Used for Data Harmonization and Analytics” at Connected Data London 2019 on October 4th at 3:10 p.m.
The New Emerging Modern Data Infrastructure for Artificial Intelligence and Machine L …
Cambridge Semantics’ CTO, Sean Martin, writes in this article for Dataversity about how a Data Fabric architecture is the perfect data infrastructure for profiling, transforming, and preparing data for AI systems predicated on machine learning.
Probing Data’s Middle Ground
This Datanami article discusses how the rise of data lakes has exposed a gap between databases, files and other data repositories and the ability to view, analyze and leverage that data. The solution is Anzo, which has the ability to ingest multiple data types stored in a variety of batch and streaming platforms to create a “data fabric” of all the data.