Software AG has inked a deal to acquire Zementis, the San Diego, California company that provides software for deep learning, which is a component of machine learning and data science.
In a press release, Software AG said deep learning is a key technology that drives artificial intelligence development. Software AG sees machine learning and AI advances as the basis for the next iteration of Internet of Things applications, including self-driving cars, digital assistants, medical diagnosis, robotics and predictive maintenance.
“The impact of the Internet of Things on industry, business and society will dwarf anything we have experienced through technology so far,” said Software AG Chief Executive Officer Karl-Heinz Streibich. “This is now widely acknowledged by industry, as is the unique business insights that can be provided by combining predictive analytics, machine learning and streaming analytics. This combination has played a major role in the recent strategic IoT partnerships Software AG has established.”
Software AG said in the press release it already embedded Zementis’ Adaptive Decision and Predictive Analytics solution into its Digital Business Platform, giving enterprise customers comprehensive insights for business analytics in real time. Combining the technologies, said Software AG, gives businesses more precise insights into customer behaviors, market dynamics, security risks and sensor information from the Internet of Things.
“Zementis was founded with the vision of delivering true interoperability for artificial intelligence, allowing machine learning and predictive models to rapidly move from development to deployment, allowing data-centric organizations and enterprises to easily incorporate AI into their routine operations,” said Dr. Michael Zeller, CEO of Zementis, in the same press release. “Software AG’s open standards strategy empowers clients to manage heterogeneous IT architectures and perfectly complements the vendor-neutral AI capabilities that our solutions deliver.”
Terms of the deal were not disclosed.