Stop Searching and Start Solving
While there are plenty of enterprise search options on the market, they’re failing in the face of increasing complexity and performance demands. Learn why Roche, Springer Nature, and the National Bank of Canada choose smart search in order to increase productivity by unlocking access to data firm-wide.
451 Research: Stardog Rocks on with Improved Performance for Data Unification
Stardog has announced a major new update to the eponymous graph database that underpins its platform for data unification and the creation of enterprise knowledge graphs. Stardog 7 marks the completion of a two-year development effort to create a new low-level storage engine for Stardog.
How Financial Services are Modernizing Enterprise Architecture with Knowledge Graphs
Financial service leaders face accelerating change – driven by regulatory compliance, the need for cost-optimization and the value of digital transformation. Financial enterprises must modernize their data architecture to keep up with these changes.
SpringerMaterials Accelerates Research With Smart Search
SpringerMaterials is making search smarter with with Stardog. The materials science research platform allows subscribers to query constantly evolving and growing data and get accurate and personalized results.
Automated Transformation of openEHR Data Instances to OWL
Standard-based integration and semantic enrichment of clinical data originating from electronic medical records has shown to be critical to enable secondary use. This ...
Distributed Data and Ontologies: An Integrated Semantic Web Architecture Enabling More Efficient Data Management
What is a Knowledge Graph
Enterprise data is the world's most strategic asset going forward, while on the ground it's painful, diverse, heterogeneous, and distributed. A Knowledge Graph is ...
Digital Transformation - The Hype and Reality
The pressure is on for companies to undergo Digital Transformation (DX), as global spending on technologies to support this is expected to increase by 17% this year.
The Data Variety Challenge: Why a Schema Flexible Model Works
When enterprises consider the benefits of data analysis, what's often overlooked is the challenge of data variety, and that most successful outcomes are driven by it.
451 Stardog Impact Report
Learn about the rise of the knowledge graph for agile enterprise-wide data management.
Energy Efficiency Driven by a Storage Model and Analytics on a Multi-System Semantic Integration
Addressing Model-Based System Engineering Challenges with Knowledge Graphs
When the International Council on Systems Engineering (INCOSE) popularized model-based systems engineering (MBSE) in 2007, their goal was to solve a significant problem—the deluge of ...
Structure Your Unstructured Data With a Knowledge Graph
Unstructured data represents the single greatest data challenge faced within the financial services industry. In some cases, up to 80% of all data is hidden in documents ...
Solving Data Challenges in Financial Services
Financial institutions have seen an enormous growth due to rapid globalization, but these successful expansions have come at the price of increased complexity and systemic risk.
Bring More Structure to MongoDB With a Knowledge Graph
With the Stardog Knowledge Graph, you can tame the challenges of data silos and data variety in your organization to build a reusable framework to unify data and ...
The rise of the Knowledge Graph for agile enterprise-wide data management
94% of data platform revenue in 2016 was generated by relational databases, with this figure set to decline to 85% by 2021, especially as non-relational databases and distributed data ...
Solving Data Challenges in Financial Services
Financial services leaders face accelerating change, primarily driven by global regulation and compliance measures. Other changes include firms struggling for cost-optimization, ...
Making Manufacturing Smarter with Knowledge Graphs
Rapid globalization and outsourcing have made the manufacturing landscape more complex and competitive than ever before. The result is that segmented, non-interfacing software tools and applications cause data silos to form and persist.
Machine Learning: Shifts in Business
The current applications of Machine Learning are widespread, but the heart of what makes it possible is data and a lot of it. MIT predicts that enterprises should expect 10 to 1000 times ...
Knowledge Graphs 101: How to Overcome a Major Enterprise Liability and Unleash Massive Potential
Across all industries, enterprises are using data to transform their businesses for higher performance, and better innovation. But data that's difficult to access, blend, analyze ...
Enterprise Knowledge Graph is Key to FIBO Compliance
Enterprise data is the world's most strategic asset going forward, while on the ground it's painful, diverse, heterogeneous, and distributed. A Knowledge Graph is the only ...
NIH Case Study: Stardog Empowers the Fight Against Infectious Disease
With a mission to prepare for, detect, and respond to infectious disease threats across the globe, Models of Infectious Disease Agent Study (MIDAS) is a coalition of research ...
NASA Case Study: A Look Inside the Ride to Deep Space
NASA is pushing the frontiers of human exploration in deep space through a renewed focus on human exploration of the Moon and Mars. In recent decades, NASA and its partners have launched orbiters, landers, and rovers to ...