Stardog in the News

Semantic Graphs and the New Data Integration Landscape

“Conventional data management systems are fundamentally ill-suited for the world of data as it exists today. These systems, based with few exceptions on the relational data model, are broken because they integrate based on data location at the storage layer. While this approach worked reasonably well for the past 25 years, the world today has far too much data to use data location in storage as the basic lever. The ill-suitedness of traditional, relational data model-based data integration tools reveals itself in several ways.

Why Inference is Key to Realizing Data’s Full Potential

“Leveraging a knowledge graph’s inference capabilities, organizations can extrapolate new data connections and explain any new connection they create. Digital transformation is all the rage, and in most cases, the goal of digital transformation is to treat data like an asset. In some instances, that means monetizing data, and in others, the goal is to leverage data more efficiently to derive insight to make better decisions. However, in reality, both are hard to achieve.

Data Modeling Mastery for AI and Beyond

“An inordinate amount of some of the most vital aspects of Artificial Intelligence—from data engineering to data science, data preparation to machine learning—rely on one indispensable prerequisite: data modeling. Without effective data modeling, organizations can’t integrate data across sources to build advanced analytics models. Data modeling is foundational to assembling training datasets, utilizing specific data for end user applications, and scaffolding predictive cognitive computing models. Consequently, it behooves companies to make the modeling process as efficient as possible to achieve the following three benefits that optimize their modeling endeavors—and the advanced analytics applications and use cases they support.

Is Your Data Ready for a Multicloud Strategy? Four Steps to Get You on the Right Track

“Every few weeks for the past year, there’s another “are you ready for multicloud?” checklist. These specs are very thorough and often include support, devops, policy, governance, and risk considerations. Good and necessary stuff, not to mention a great management tool for scalability. But when they’re missing key strategic considerations, they may well lead to a false sense of security. After all, if we’ve attended to everything on the checklist, one could assume they must be ready, right?

Why the Next Generation of Data Management Begins with Data Fabrics

“The mandate for IT to deliver business value has never been stronger. In fact, 76% of executives believe IT must be an active partner in developing business strategy. Agility is key to success here. However, most enterprises are hampered by data strategies that leave teams flat-footed when the market shifts or new challenges arise. Take structured Data Management systems, for instance. This option worked well when the enterprise data landscape was itself predominantly structured.

Knowledge graphs provide smart database management across hybrid computing environment

“The next challenge in data management is accessing data resources that are dispersed across a hybrid computing environment. Companies have invested in master data management solutions, breaking down silos and centralizing resources to simplify access. But moving data is costly, and silos serve a purpose by isolating secure data and allowing local control and governance. Gaining a comprehensive view of data across locations from on-premises out to the edge requires the merger of human and machine intelligence in solutions that connect data and leverage it to provide context in situ.

Stardog’s knowledge graph platform helps enterprises fetch relevant insight from mountains of data

“For some enterprises, data can be a blind spot, a large repository of information with little connection to the goals and objectives of the business. To address that issue, companies are turning to knowledge graphs that combine artificial intelligence, virtualization and graph to unify disparate data into a meaningful, real-world context. One startup that has built a growing business around the use of enterprise knowledge graph platforms is Stardog Union Inc.