In the dynamic landscape of data-driven decision-making, businesses are turning to the transformative power of AI graph databases to unlock unparalleled insights. This cutting-edge technology is reshaping the way organizations harness and analyze interconnected data, paving the way for more informed, strategic, and agile business strategies.
In the first part of this blog series, we discussed…
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 […]
According to a new press release, ArangoDB has unveiled ArangoGraphML, a fully managed graph machine learning platform, aimed at simplifying the integration of machine learning with graph data. In a world where businesses must balance efficiency, customer satisfaction, and security, the power of graph data and machine learning provides a key to unlocking valuable insights. […]
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. […]
2023 will bring exciting advances in AI and graph technology. One of the most compelling innovations will be the ability for quantum programs to be turned into graphs and vice versa. Natural language understanding will become part of AI models. The adoption of standards-based semantic layers will spike as they enable data selection through business terms. Graph […]
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 […]
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 […]
The new ISO 39075 Graph Query Language Standard is to hit the data streets in late 2023 (?). Then what? If graph databases are standardized pretty soon, what will happen to SQL? They will very likely stay around for a long time. Not simply because legacy SQL has a tremendous inertia, but because relational database paradigms […]
According to IDC, the amount of digital data created over the next five years will be greater than twice the amount of data created since the advent of digital storage. Mirroring this sentiment, Statista predicts that data creation will grow to more than 180 zettabytes by 2025, which is about 118.8 zettabytes more than in 2020. This vast, and ever-increasing, volume […]
Managing customer preferences is one of the many aspects of managing customer journeys. Customers interact with organizations across a myriad of digital channels, and being mindful of preferences can increase the trust associated with customers. Read on for how graph databases can help manage these customer preferences. Data privacy and protection policies across geographies make it […]