Business customers in manufacturing, logistics and retail industries are expected to benefit most from a new partnership between a pair of Germany-based companies making waves in the Internet of Things.
Software AG and Robert Bosch GmbH are joining forces to increase the number of customers using Bosch's IoT cloud.
"As technology partners, we will be able to offer our customers innovative solutions with the Bosch IoT Cloud even faster and more efficiently than before," says Dr. Volkmar Denner, Robert Bosch board chairman.
The main goal of the partnership will be to develop predictive analytics tools. Software AG's digital business platform will be a highly scalable component of the Bosch IoT cloud, incorporating modules for real-time data analytics and decision-making. Bosch will use Software AG's in-memory data storage and processing solutions to help it analyze data in real time. Software AG says its universal messaging integration module -- already in use at Bosch -- ensures that all components are integrated seamlessly and operate smoothly.
"Our objective is to optimally combine the comprehensive expertise of Bosch as an innovation leader with our software know-how in the cloud market," notes Karl-Heinz Streibich, Software AG CEO. "With this step, we are also strengthening Germany as a technology hub with the goal of expanding its global leadership in IoT and Industry 4.0."
The companies say their partnership will make it easier and faster for customers and partners to develop, use and market new IoT services based on the Bosch IoT cloud. And because the platform is frequently updated, users might have a competitive advantage over their rivals.
Bosch and Software AG say that any number of industries can benefit from their partnership. For example, real-time analytics using environmental sensors and risk-assessment systems -- coupled with predictive analytics tools -- provide the foundation and can make supply, production and logistics processes faster, more efficient and more secure. Smart IoT solutions proactively help prevent inefficiencies in value chains. By using sensor data, more intelligent decisions can be made as to whether a part should undergo more quality-assurance testing.
— Craig Galbraith, Contributing Writer