Business
MongoDB Launches Atlas for Manufacturing and Automotive
New MongoDB Atlas for Manufacturing and Automotive initiative helps organizations deploy applications that use real-time data to optimize processes and
About this update from Mongodb, Inc.
[{"type":"text","content":"New MongoDB Atlas for Manufacturing and Automotive initiative helps organizations deploy applications that use real-time data to optimize processes and reimagine end-user experiences with connected technologies\nAWS, HiveMQ, Share Now and Digitread Connect among partners and customers working with MongoDB in the automotive and manufacturing industries\nFRANKFURT, Germany, Sept. 21, 2023 /PRNewswire/ -- MongoDB, (NASDAQ: MDB) today at MongoDB.local Frankfurt, announced MongoDB Atlas for Manufacturing and Automotive, a new initiative that helps organizations innovate with real-time data and build applications that take advantage of intelligent, connected technology. MongoDB Atlas for Manufacturing and Automotive includes expert-led innovation workshops, tailored technology partnerships, and industry-specific knowledge accelerators to provide customized training paths designed for the wide range of use cases that developers in these industries work with—from digital twins of manufacturing facilities to predictive maintenance of factory equipment to highly engaging applications for connected cars. Get started with MongoDB Atlas for Manufacturing and Automotive now.\n\n \n \n \n \n \n \n\n \nTechnological advances in connectivity, automation, and real-time analytics are having a disruptive impact on the manufacturing industry, and even more so on the automotive sector as the industry transitions to renewable energy powertrains. Organizations in these industries need to transform their operations with real-time data and connected technologies to be able to deploy solutions like predictive and preventive maintenance of vehicles and manufacturing equipment, automated maintenance scheduling for consumers and factory technicians, and manufacturing process optimization with smart factory solutions and supply chain automation. However, these modern solutions use connected technologies with large numbers of IoT devices and sensors that generate massive amounts of data. To be effective, organizations need the ability to collect, process, and analyze high-volume data from different sources in real time—a process that is extremely challenging. For example, the data that IoT devices and sensors generate comes in many different formats and must be normalized, combined, and processed before advanced analytics can begin. Even then, many organizatio...