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Mar 19, 2021 · Graph analytics is the use of graph theory to discover the nodes, edges and data links that can be assigned semantic properties. Analysts can then address difficult-to-resolve issues where traditional analytics tools and solutions cannot reach conclusions. Frequently in traditional analysis solutions, users and analysts may identify false ...
Sep 22, 2022 · Graph technology use cases are highly pertinent to cloud security. Together with graph theory, it is used in cloud security to model attack vectors and the potential attack paths adversaries can use to exploit cybersecurity defenses. Below are some other graph technology use cases that impact both computing and cloud environments.
- Investing in Graph Intelligence
- Why Now?
- The Graph Intelligence Stack
- Getting Started
- Closing Thoughts
Many organizations that are now transitioning to Graph AI first got comfortable with Graph Intelligence by investing in Graph VA. The data remains the same for Graph AI, but the methods used to derive value have become increasingly sophisticated. Leading examples include Microsoft’s, Amazon’s, and PayPal’s security and fraud teams, who began by inv...
There are several reasons why Graph Intelligence is poised to grow in importance in the near future. First, companies are increasingly ready: as we noted above, operational data and event data are ubiquitous, and companies already have systems in place to collect and store it. Likewise, as we will discuss, compute is now also more accessible than e...
Graph Intelligence solutions are converging to a new architectural pattern that complements modern data platforms. Surprising to many, the majority of Graph Intelligence use cases do not require a Graph DB because they can instead use the compute tier to manipulate graphs on-the-fly. Consider the striking example from the Chinese e-commerce giant M...
Graph VA provides a natural starting point for many companies looking to get started with graphs, especially for teams not already deep into neural networks or not immediately interested in programming one. One historic path to Graph VA is to begin with a graph database. Graph DBs might make certain Graph VA queries easier to express and faster to ...
It’s just a matter of time until graphs become a standard method to analyze data for operational insights. Figure 5 shows that tools are now in place for most companies to get started. As we’ve noted throughout this post, companies already have the necessary data and infrastructure to benefit from Graph Intelligence approaches. Companies can adopt ...
Nov 7, 2024 · 17mins. Back to blog. Graph technology is built to handle complex networks of data, surfacing connections and highlighting patterns and anomalies far more efficiently than more traditional technologies. In a world where organizations rely on increasing amounts of data for critical business decisions, high-stakes investigations, and more, it’s ...
Oct 30, 2024 · Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School. Graph analytics is the analysis of relations among entities. Explore how it can help organizations uncover insights & identify leading graph analytics tools.
Mar 16, 2021 · Summary. The world is now more connected than ever, and understanding complex relationships and interdependencies between data points is crucial to decision making. This research helps data and analytics technical professionals understand the plethora of use cases and applications with graph technologies.
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Jun 16, 2022 · Graph technology is one key part of the overall solution, and graph systems, in conjunction with other analytics technologies, will permit organizations to unlock deep insights from the enormous amount of data they already own. This is the first of a two part-series. In the next article, Keshav Pingali will explain what best practices systems ...
