article thumbnail

Are You Content with Your Organization’s Content Strategy?

Rocket-Powered Data Science

The key to success is to start enhancing and augmenting content management systems (CMS) with additional features: semantic content and context. TAM management, like content management, begins with business strategy. My favorite approach to TAM creation and to modern data management in general is AI and machine learning (ML).

Strategy 267
article thumbnail

GraphDB in Action: Navigating Knowledge About Living Spaces, Cyber-physical Environments and Skies 

Ontotext

This has enabled them to meet the requirements coming from heterogeneous data in building automation systems, the interoperability issues critical for design engineering and, last but not least, the challenges in air-traffic control. The framework addresses current data integration needs and prepares for future capability.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Why Establishing Data Context is the Key to Creating Competitive Advantage

Ontotext

Poor data management, data silos, and a lack of a common understanding across systems and/or teams are the root cause that prohibits an organization from scaling the business in a dynamic environment. Beyond that, and without a way to visualize, connect, and utilize the data, it’s still just a bunch of random information.

article thumbnail

Bridging the Gap Between Industries: The Power of Knowledge Graphs – Part I

Ontotext

It can apply automated reasoning to extract further knowledge and make new connections between different pieces of data. This model is used in various industries to enable seamless data integration, unification, analysis and sharing. Manufacturing and Industry 4.0 The possibilities are endless!

article thumbnail

KGF 2023: Bikes To The Moon, Datastrophies, Abstract Art And A Knowledge Graph Forum To Embrace Them All

Ontotext

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

article thumbnail

From Data Silos to Data Fabric with Knowledge Graphs

Ontotext

Added to this is the increasing demands being made on our data from event-driven and real-time requirements, the rise of business-led use and understanding of data, and the move toward automation of data integration, data and service-level management. 10 Steps toward a Data Fabric with Knowledge Graphs.

article thumbnail

Ontotext’s Most Popular Blog Posts for 2019

Ontotext

As 2019 comes to an end, we at Ontotext are taking stock of the most fascinating things we have done to empower knowledge management and knowledge discovery this year. In 2019, Ontotext open-sourced the front-end and engine plugins of GraphDB to make the development and operation of knowledge graphs easier and richer.