One of the oft-promised benefits of the cloud is increased flexibility for IT managers, and with the rapid rise of artificial intelligence that promise is only getting brighter. But ensuring rapid development and deployment of new applications remains a challenge.
To address that challenge, MapR Technologies, Inc., a leader in delivering one platform for all types of data across every cloud, and C3 IoT, the leading AI and IoT software platform for digital transformation, have announced a new collaboration focusing on new technology developments and go-to-market initiatives to enable rapid deployment of mission-critical, secure intelligent applications for commercial and public sector use cases, including real-time fraud detection, cyber and physical security, and predictive maintenance across industries such as healthcare, insurance, and manufacturing.
According to the two organizations, the “new partnership will provide both faster time to value for joint customers as well as broader deployment options, allowing applications to leverage any combination of public cloud, private data center, and edge computing technologies.”
A recent report from Forrester Research noted that “enterprises that plan to invest in AI expect to improve customer experiences, improve products and services, and disrupt their industry with new business models.”
A key pillar of digital transformation is to enable the seamless integration of new intelligent applications with the legacy data and applications that continue to underlie critical business processes.
“The opportunities for industrial and commercial organizations to adopt digital technology for productivity improvements and new business creation are unprecedented,” said Ed Abbo, president and CTO, C3 IoT. “In leveraging the MapR Converged Data Platform with the C3 IoT Platform and AI applications, we are empowering companies to establish competitive advantage in the rapidly emerging era of smart connected products.”
As healthcare organizations adopt more analytics initiatives for population health and research purposes, IoT devices are producing more data which makes AI necessary for the data to be analyzed and made actionable.
Moreover, organizations are also looking into using AI and IoT devices to diagnose patients at the point of care, which should give the patient results quicker and also save organizations money as a result of patients no longer needing to return for a second appointment to review results.