Fraud techniques, including phishing, vishing, deepfakes, and other scams are becoming increasingly sophisticated – making it easier than ever to perpetuate fraud at scale. This is placing businesses in danger of financial losses, and trust and reputational damage. Now, there’s an alarming trend among organized crime rings that have the potential to defraud enterprises of […]
The Evolution of AI Graph Databases: Building Strong Relations Between Data (Part One)
We live in an era in which business operations and success are based in large part on how proficiently databases are handled. This is an area in which graph databases have emerged as a transformative force, reshaping our approach to handling and analyzing datasets. Unlike the conventional structure of traditional methods of accessing databases, which […]
Database Management Trends in 2024
Trends in database management for 2024 have taken several different directions, ranging from cloud-based DBMSs (database management systems) to augmented DBMSs to self-driving DBMSs (which are quite different from self-driving cars). The use of cloud-supported database management systems is one of the most obvious trends. Another broad noteworthy trend is the use of multiple databases. […]
Types of Database Management Systems
A database management system (DBMS) is software designed to develop and manage the data stored in databases. A database is a collection of organized data, normally stored electronically within a computer. The database management system organizes the data and allows a person to access, manage, and alter it. It also supports and controls additional compatible […]
The Power of Graph Databases to Detect Fraud
Graph databases play a key role in fraud detection within intricate, complex networks, helping security teams keep pace with modern fraud techniques that are becoming increasingly more sophisticated. Graph databases can identify patterns and relationships in big data, reducing the level of complexity so that detection algorithms can effectively discover fraud attempts within a network. […]
Types of Databases and Their Uses
There are several types of databases, and their differing designs process data in different ways. Providing access to information is the primary purpose of a database. They can be used for a variety of tasks, ranging from storing photos to buying items online to analyzing marketing and sales data. Large amounts of information can be […]
Graph Database Use Cases
One of the primary advantages of using a graph database is the ability to present the relationships that exist between datasets and files. Much of the data is connected, and graph database use cases are increasingly helping to find and explore these relationships and develop new conclusions. Additionally, graph databases are designed for quick data […]
2023: Mitigating Data Debt by Knowing or by Guessing?
One of the newer data buzzwords is “data debt.” Actually, it is approximately 10 years old, and it became popular ever since agile people realized that postponing things creates not only technical debt, but certainly also data debt. Will we, in 2023, be better at not creating so much data debt, and will it be […]
Using Graph Technology in the Evolution of AI
Graph technology is being used to promote the evolution of artificial intelligence. Graph databases show how data is interlinked, expressing relationships within the data that cannot be communicated using a tabular SQL system. They work especially well when complex patterns must be identified quickly. Graphs are an excellent tool for inferring relationships and enhancing artificial […]
Database Management Trends in 2023
The recent trends in Database Management reflect how organizations are improving their storage and how they process data. Organizations can drive their business growth by improving their Database Management platform. Database Management typically involves the use of software to support automated data services. Database Management is not the same as Data Management, nor is it Data […]