Knowledge graphs simplify data governance by combining information from different sources into one organized structure. This allows for better control of the data and enables a wide range of applications in various fields. As experts say: "Any knowledge is added value for any use case. It’s always better to have more knowledge than less. If you’ve got more than you need, you can discard it, but if you don’t know, you can’t create it out of thin air."
To make the most of their data, businesses around the world are using knowledge graphs. This helps them turn their data into an asset, thereby improving decision-making and overall market penetration, growth, and revenue.
Understanding Knowledge Graphs
A knowledge graph is a reusable, adaptable data layer designed to provide complex query answers across data points. They achieve the highest level of connectivity by utilizing contextualized data. They are designed to accommodate the dynamic nature of knowledge, effortlessly assimilating new information, clarifications, and specifications. This creates a flexible data layer by mirroring how humans think about and connect information.
The Power of Semantic Layers
One of the key benefits of knowledge graphs is their ability to create a semantic layer across an organization's data ecosystem. The datasets from multiple sources with different structural characteristics create a semantic layer. These elements help systems distinguish words with multiple meanings, like Apple the brand and apple the fruit.
This allows search and question-answering systems to provide thorough responses to specific queries. While consumer-facing solutions highlight their time-saving capabilities, corporate applications benefit from eliminating manual data collection and integration tasks, facilitating business decision-making. Additionally, the data integration activities surrounding knowledge graphs can generate new knowledge by creating links between previously unconnected data points.
By implementing a knowledge graph, companies can:
· Break down data silos
· Enhance data discoverability
· Improve data quality and consistency
· Enable more intuitive data exploration
Here’s Why Knowledge Graphs Matter
Now that we understand what knowledge graphs are, let'se xplore why they're becoming increasingly crucial for modern businesses:
Faster Decision-Making: Knowledge graphs provide a 360-degree view of data entities and their various relationships. This allows analysts to overview multiple connections and patterns in data which leads to insightful conclusions.
Improved Customer Experience: By connecting customer data across various touch points, organizations can tailor offerings to deliver personalized and relevant experiences.
Efficient Data Management: Knowledge graphs can help link and harmonize data from diverse sources, fostering data sharing and collaboration among organizations. By embracing best practices in data preparation and harnessing the power of semantic graphs, organizations can unlock a competitive edge.
Empowering Business Users : With tools like Kobai's Tower visualization product, business users can directly interact with and query the knowledge graph without relying on IT support. This self-service capability democratizes data access and accelerates insight generation.
Accelerated AI and Machine Learning: The semantic structure of knowledge graphs makes them ideal for powering AI and machine learning initiatives. You can train AI to infer intricate patterns, trends and results from data to drive innovation, efficiency, and informed choices while reducing the amount of time and cost invested.
Real-World Applications
While the concept of knowledge graphs might sound theoretical, that is not entirely true since they are already finding use indifferent industries. For example:
Aerospace: To enhance design processes as well as shorten time-to-market, a fortune 100 aerospace firm integrates intricate engineering information using Kobai's system. Industrial
Manufacturing: Through knowledge graphs, digital twins which predict maintenance requirements while optimizing production have been developed by some manufacturing companies.
The Kobai Advantage
Our goal at Kobai is to enable knowledge graph technology to be useful and affordable for companies of all kinds. With our codeless platform, businesses can create and implement knowledge graphs quickly and easily without requiring specific understanding of graph databases.
Among the main attributes of our platform are:
· Studio: A knowledge graph creation and management environment without the need for programming.
· Tower: An intuitive way for business users to examine and query graphs thanks to this sophisticated visualization tool.
· Saturn: Our knowledge graph system is scalable and easily interacts with contemporary data structures, such as data lake houses.
By utilizing these technologies, businesses may rapidly establish a single semantic layer that unifies information from all areas of the company, facilitating quicker insights and more flexible decision-making.
To Wrap It Up
In the age where data is referred to as the new oil, knowledge graphs are its refineries transforming raw and seeping information into actionable insights. Knowledge graphs are emerging as an indispensable tool for any organization trying to succeed. Ultimately, if you are looking to improve your AI capabilities or customer experiences, deploying knowledge graph solutions should be somewhere near the top of your list.
Are you prepared to realize your data's full potential? Find out how Kobai's knowledge graph platform can improve your analytics and data management skills. Get in touch with us right now to find out more and begin your path to a smarter, more interconnected data ecosystem.
