{"id":15003,"date":"2021-12-24T16:47:01","date_gmt":"2021-12-24T11:17:01","guid":{"rendered":"https:\/\/www.stechguide.com\/?p=15003"},"modified":"2021-12-24T16:47:01","modified_gmt":"2021-12-24T11:17:01","slug":"why-database-with-ai-streaming-and-graph-is-the-future-of-data-management","status":"publish","type":"post","link":"https:\/\/www.stechguide.com\/why-database-with-ai-streaming-and-graph-is-the-future-of-data-management\/","title":{"rendered":"Why Database with AI, Streaming, and Graph is the Future of Data Management?"},"content":{"rendered":"
In today\u2019s digital era, as technology is maneuvering all aspects of businesses, the importance of a carefully designed data management system is more evident than ever. Companies are drowning in an avalanche of data, which makes real-time data management vital. Undoubtedly, companies have come a long way from traditional spreadsheets to relational databases, cloud-based data banks and more recently, augmented data analytics. Augmented solutions have proven to improve the efficiency of repetitive, labor-intensive tasks and derive more meaningful business insights that fuel the company\u2019s competitive advantage.<\/p>\n
To cope with the ever-dynamic business environment and extract maximum value from all available data, businesses must harness the technological boon in the form of Artificial Intelligence, Data Streaming Tools, and Graph Databases. Artificial Intelligence, including Machine Learning and deep learning, is among the most transformational technologies seen in human history. The wonders and benefits of AI, when applied to data management, produce synergetic results for companies. AI can be harnessed at all levels of data management by data administrators and engineers. It enables the automation of repetitive data-related tasks like data identification and tagging, prioritizing, managing, and optimizing queries. Consequently, it also speeds up the training, testing, deployment, and inference stages of the data management pipeline. At a higher level, incorporating AI in databases accelerates the development of machine learning models and the deployment of AI applications. <\/p>\n
\nSolutions such as, BangDB specialize in offering NoSQL-based<\/a> database solutions to speed up the data management process of businesses.<\/p>\nAI in Data Management <\/h2>\n