Why graph DB + AI may be the future of data management
AI and the Future of Business
Machine learning, task automation and robotics are already widely used in business. These and other AI technologies are about to multiply, and we look at how organizations can best take advantage of them.
Graph analytics databases have been described as embodying the next generation of data storage connected with AI, and that’s what innovation is all about: the next improved version of how something works.
All the data nodes in a graph database are connected. These are databases that use graph structures for semantic queries with nodes, edges, and properties to represent and store data. A key concept of the system is the graph itself, which connects information with a subject or topic far in advance so that the time spent by the querier is substantially lessened.
Graph DBs are now being used for a rapidly increasing number of use cases. AI is the new electricity, something we use and rely on every day; graphs enable that. We all use the PageRank algorithm for every web search, and we depend on community detection algorithms to detect fraud and money laundering rings; graphs enable those. Meanwhile, similarity matching algorithms identify healthcare patients who need urgent help or […]