The End of ETL is the Beginning of the IoT
Written by Sam Chance. Ad-hoc ETL integrations have drained the enterprise of valuable resources for too long. It’s difficult to determine which is worse: the inordinate costs associated with these point integrations, or the exorbitant amounts of time dedicated to stitching them together. Whenever sources or business requirements change, the largely manual coding process for […]
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.
The IoT’s Killer Enabler: Data Integration
With projections of billions of connected devices by the beginning of the next decade, expectations for the IoT are decidedly high. Yet with mere weeks remaining in the current decade, those predictions are largely unrealized. They’ll likely remain so until the IoT has a killer app to drive its adoption mainstream. Semantic graph model’s data […]
Creating an Intelligent Internet of Things with Data Fabrics
For most organizations, the vast potential of machine learning and Artificial Intelligence is still limited to fringe use cases. These back-office deployments are typically silos restricted to data preparation basics like data formatting, tagging or cataloging, providing little tangible value to front office users. Enterprise-scale cognitive computing applications require swift, expedient means of integrating data […]
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.