Edge Looms Ever Larger; As Do Investment Requirements
In the long term, infrastructure edge demand will be driven by edge-native use cases that can only function when edge computing capabilities are
In the long term, infrastructure edge demand will be driven by edge-native use cases that can only function when edge computing capabilities are
Edge devices, with their small footprints and low power, are often too constrained to support AI. What’s needed are new approaches to address these issues.
Investment in IoT is set to overtake cloud computing, next-generation security, big data analytics, and other digital transformation technologies in the near …
The advantage with digital twins is that they not only predict breakdowns in supply chains but also use AI to figure out a
As enterprises evolve to 5G edge-intensive architectures to deliver and process information, security basics get elevated in
AI has become part of real-life scenarios, including managing national electric grids, supermarket warehousing optimization, drug discovery, and
Organizations are turning to conversational AI to meet communication demands, with the adoption of chatbots and conversational interfaces reaching an …
Most enterprises do not know what to do with IoT technology. And if they do, there is concern over who will be leading these
Organizations are using event-driven architectures, Apache Kafka, Apache Pulsar, and other streaming technologies to handle the glut of event messages they …
With edge computing, workloads, storage, and networking infrastructures are moved closer to the sensors, actuators, and other IoT devices that generate and use …