3 Ways Knowledge Graphs Can Fuel Big Data Analytics in Automotive, Now
What is the most disruptive force in the automotive industry? Electric engines? New business models? Consumer mobility? Nope. The real firebrand for the industry lies in a different kind of engine known as data. Automakers, suppliers, and dealers must adapt quickly to the changing landscape by harnessing the power of data and knowledge graphs to jump-start advanced analytics today.
Why X-Tech Startups are Seizing on Knowledge Graph
The phrase “every company is a tech company” is giving way to “every company is a data company,” which I believe means the value of technology is shifting from applications to data. And as the size and complexity of data multiply, organizations are increasingly turning to semantic knowledge graphs to harness data and unleash insights that fuel data-informed decisions.
How to Achieve Data Democratization with your Data Lakehouse
Creating a data-driven culture that looks to democratize data across all aspects of their business functions and operations for richer, faster insights that turn into actionable intelligence at the speed of business.
Knowledge Graphs and Machine Learning
Knowledge graphs make it easier to feed better and richer data into ML algorithms. The inherent traits of knowledge graphs posit them as a top tool of modern AI and ML strategy. Let’s examine a few ways in which they help.
Announcing Stardog 7.9.0
I’m excited to introduce Stardog 7.9.0, which contains exciting new capabilities and features to help companies bring data together, identify new insights, and enable data-informed decisions. The main attraction of this release is our new Stardog Designer application, a no-code, visual environment to help rapidly engineer knowledge graphs to drive down the time and cost of generating insights based on cross-domain data.
Introducing Stardog Designer
Announcing Stardog Designer, a new, visual environment for creating and maintaining your Knowledge Graph. Designer is an application for no-code, visual modeling and data source mapping. Designer makes implementing a knowledge graph much more intuitive, especially for those new to graph databases.
How to Build a Knowledge Graph
Practical steps for building knowledge graphs: powerful tools for linked data, data integration, and data management. Scale all those use cases that have been inspired by data science. Increase your number of users, as needed. And spread the use of data itself. Do you really need a knowledge graph? Data rules the world. But organizations struggle to leverage that data for a competitive advantage. Raw, uninterpreted data in a system somewhere isn’t very helpful.
Benchmarking Needs for Enterprise Knowledge Graph Excellence (and Awe)
The tricky task of benchmarking Enterprise Knowledge Graphs—what potential clients ask for, what factors affect benchmarking, and more. A Q&A with Stardog’s CTO, Evren Sirin.
Dagstuhl 2022: Graph Databases and Network Visualization
Pavel Klinov, Stardog VP of Research and Development, is back from the Dagstuhl Seminar on Graph Databases and Network Visualization, held at the Leibniz Center for Informatics in Germany from January 16 – 21, 2022. We asked him about his experience.
Discover the Overlooked ROI of an Enterprise Knowledge Graph Platform
Data spans wide and runs deep across enterprises. It’s often tucked into pockets and silos. If data hasn’t been all brought together yet, it can be incredibly difficult to parse the exact business value of doing so. Data modernization and innovation can be tough to nail down in terms of ROI.
How to Build a Semantic Search Engine Using a Knowledge Graph
In contrast to typical enterprise search solutions, knowledge graph-powered search returns fewer, more relevant results, reducing time spent searching up to 90%. A knowledge graph improves search by capturing the meaning of the search terms. Read on to learn how to build a semantic search application using a knowledge graph.
5 Steps to Building a Data Fabric
We hear from many of our customers that they’re interested in building a data fabric, but they’re not sure how to get started. Luckily, with a knowledge graph-based approach, you can start small and grow your data fabric over time. In this post, we’ll share an easy, approachable 5-step process for getting started with a data fabric.