The Internet of Things presents new challenges for ensuring security and integrity of applications, communications, data, devices and the user interfaces built to support them. Addressing these challenges is an engineering problem for which much expertise and technology is available to apply to the
An increasing number of use cases for big data and analytics can be Apache Spark's sweet spots. Take a look at several low-latency applications in which Spark is well-suited for analysis of cached, live data.
IBM is helping create and use the Internet of Things by leveraging analytics, cloud, mobile, security and social media technologies. The connectivity of things presents a broad set of security challenges. Review this infographic for an overview of security and privacy for Internet of Things systems.
While the livestream event focused on the Internet of Things (IoT), I felt that IoT wasn't actually the true, overarching message at all. In my opinion, the absolutely key takeaway was the idea of "standardization."
Big data analytics is getting positively spooky in its ability to infer our intentions in real-time and in the context of our environments. In the Internet of Things (IoT) era, voice inputs, gestural interfaces, and data-driven inferences will be able to drive remote actions in your personal domain