To help network operators stay ahead of bandwidth needs driven by 5G, AI and hyperscale data centers, Corning has announced a series of smaller, denser additions to its portfolio of long-haul fiber and cable innovations, including the world’s first smaller-form-factor submarine and terrestrial long-haul fibers in a 200-micron diameter.
As data center engineers and ICT professionals brace for the demands of new technologies such as 5G, edge computing, artificial intelligence (AI) and the continuing growth of software-defined networking (SDN) across the enterprise landscape, they need to prepare data center infrastructure and cabling to support these initiatives while ensuring scalability and flexibility.
Building automation, as a working discipline, has been around for ~ 30 years. By the turn of the century many buildings were equipped with computers/controllers that could connect to the internet and provide greater control over many building parameters (temperature, lighting, access, security, etc.). Those buildings could be considered “automated” but they were not “smart”. Smart buildings are the next phase of this evolution. The Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning (ML) are combining to make buildings more dynamic, more adaptive, and more efficient. This article addressees the current challenges faced by building operators and facility managers and how emerging technologies can address these challenges.
The shift from simple phone banks to omnichannel contact centers involves the integration of multiple technologies, including artificial intelligence (AI), the internet of things (IoT) and cloud computing. The widespread deployment of 5G networks will also enhance the experience of contact center customers, who increasingly expect answers on demand. These technologies will necessarily increase the need for privacy and security in 2020.
The idea of using robots to automate data center operations has been the object of years science experiments and proof of concepts. In November, a data center startup called TMGcore demonstrated a robotic system that can replace servers housed within an immersion cooling tank. This ability to swap out servers creates new possibilities in the industry’s long-running effort to create a “lights out” unmanned data center. Which raises a question: Are we on the verge of a new frontier in data center automation?
The compute power needed and the demand for machine learning performance is driving more and more developers to move AI applications to the edge and away from the cloud. Learn how companies are leveraging photonics to fit the computing power of the world’s largest supercomputers onto a single chip for AI processing.
3 predictions for the Data Center Market: AI will drive adoption of new technologies; DC operators will increase their use of new AI to maximize employee productivity; and advanced technologies like 5G start to find their way in the data center.
Verdigris Technologies’ will bring machine-learning applications to ABB’s global line of connected low-voltage switching fabric products to predict unplanned surges in power consumption for commercial and industrial buildings. The electrical equipment, power, robotics and automation company is launching a new digital energy app-store and Verdigris’s AI technology is their first app.
Gartner research has announced 10 “strategic technology trends that will drive significant disruption and opportunity over the next 5 to 10 years.” And the trends include “hyperautomation”, and “autonomous things,” including drones, appliances, robots, and even ships, sometimes working in collaborative swarms, that exploit AI to perform tasks usually done by humans.
BICSI, the Security Industry Association (SIA) and TIA share a common goal of moving to more efficient security systems to reduce risks and protect soft targets. This article details security advancements since 2013 and looks at the latest technology trends including sensor diversity, object recognition-driven AI an how ICT is championing smart city development.