Many industries are increasingly demanding greater speed and autonomy in decision-making to adapt to increasingly volatile markets. In addition, industrial devices generate an increasing amount of data from more diverse, geographically dispersed devices and with greater frequency. This need to capture more data more frequently and make decisions on the fly has led to an increase in the computing capacity required near the place where the data is generated, i.e., the Edge and the development of distributed Artificial Intelligence, also called Intelligence at the Edge or Edge AI. Edge AI's main advantages are better latencies, optimization of communication bandwidth, reduction of Cloud service costs, and an improved level of security, which is very important in specific critical industries. For all these reasons, the industrial sector is adopting Edge Computing.

It's easy to throw in a buzz word like AI these days to get some attention. My aim is to offer some valuable insights into how AI can make a real difference in the world of radio access networks (RANs), looking at the way it works as well as the multiple benefits it brings. From a technology perspective, AI in the RAN is about letting the hardware adjust its decision-making capability and allowing it to learn from patterns. Learning can improve the baseband functionality, which otherwise acts based on hard-coded settings. Of course, the pattern observations and execution of AI and machine learning (ML) require a certain amount of computing capacity.

The notion of open networking continues to gain traction, as service providers and, increasingly, enterprises become more comfortable with the prospect of disaggregation and commoditization. In this two-part guide, analyst Lee Doyle reveals the top 7 SD-WAN trends to watch for this year, and our editors compare 13 leading SD-WAN products in one handy infographic to help guide your purchasing decision. You forgot to provide an Email Address. This email address doesn't appear to be valid. This email address is already registered.

In May 2017 at ICMI Expo Shep will share some of the 52 "Amazement Tools" featured in his book of the same name. Learn best practices, tactics, and strategies to help them deliver the most amazing customer service on the planet. Over the years, I have watched artificial intelligence swiftly move from a thing of the future to a practical element in the improvement of contact center operations. With the contact center remaining a vital component of customer acquisition and retention, it seems obvious that continual advancements are key in boosting the success of businesses worldwide. When it comes to improving the contact center experience for improved client acquisition and retention, intelligent network interfaces are beyond compare.

Ultimately Intel and others network hardware makers could be making tiny wireless relays that plug into power sockets and individually have a range of only a few metres but together give a home a robust, smart network that can shuffle data at speeds of more than 100 megabits per second.

As Artificial Intelligence (AI) is fast moving beyond the realms of science fiction and entering the workplace, and this will have implications for the corporate IT infrastructure of the future. Facebook's announcement that it will enable businesses to deliver automated customer support, online shopping guidance, content and interactive experiences to its users through ChatBots is just the beginning. Whilst some Bots, like the Microsoft's recent Tay experiment, aren't foolproof yet, Messenger Bots represent the new and acceptable face of Artificial Intelligence. ChatBots use deep learning and neural networks to allow them to learn from data sets in the same way a human brain does. Whilst still in development phase, they are fast becoming increasingly popular with developers and platforms.