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While machine intelligence is certain to play a key role in the creation of next generation systems in a wide variety of industry sectors in the near future, it is particularly relevant in rapidly developing industries such as ICT, manufacturing and transportation. Across the globe, mobile operators are getting ready to deploy the 5th generation of 3GPP mobile wireless networks (5G). Compared to the mobile infrastructure that is currently in place, 5G will bring higher throughput, lower latency, more efficient signaling, support for more spectrum bands, more programmability and other additional advanced techniques to maximize usage and optimize costs . The number of connected devices will greatly increase as a result of this improved performance: sensors will benefit from more affordable bandwidth to the internet; heavy users of uplink traffic like video cameras will be able to share more data; fast-moving devices (drones, cars) will have more reliable connectivity and so on. These new devices will be the catalysts of a new wave of innovation for all involved industries.
The LIFX A19 LED light, one of the best smart bulbs we've tested, is available from LIFX's website today for $97.98 for a four pack, using the code B2G2Remove non-product link. That's a steep discount from the $240 list price and Amazon's price, where the same pack is $196. These LED bulbs provide a lot of light with a little power, with 1100 lumens from 11 watts. If that's a bit bright for you, no worries: A full range on the dimmer lets you choose your mood. In addition, you may select from a spectrum of 16 million colors and set a lighting schedule.
As networks become more software-driven, they generate vastly greater amounts of data, which provides some challenges: adhering to compliance and customer privacy guidelines, while harvesting the massive amounts of data--it is physically impossible for humans to tackle the sheer volume that is created. But the vast amounts of data also provide an opportunity for businesses: leveraging analytics and machine learning to gather insights that can help network management move from reactive to proactive to assurance. This doesn't just mean a massive shift in technology because the human element won't simply go away. Instead, by combining human intellect and creativity with the computing power AI offers, innovative design and management techniques will be developed to build self-improving intelligent algorithms. The algorithms allow networks to operate in a way that far outweighs networks of the past.
Matt Stevens, Chairman, President, and CEO The entry of cloud has opened up a new world of opportunities for enterprises with its high flexibility, computing power, and performance capabilities minus the exorbitant costs. However, despite its unparalleled potential, there is something that is often overlooked. Since the applications running on the cloud are hosted beyond an organization's own network, in a third-party's infrastructure, organizations using the applications don't have visibility or control over their performance. Also, the rising trend of remote working is adding to the woes because applications are being used at locations beyond the direct and centralized reach of an organization. So neither an application's point of hosting nor its point of consumption is under an organization's purview.
It's completely understandable why you might overlook the news that the Federal Communications Commission will conduct a pair of high-band frequency spectrum auctions later this year. But if you are among the 77 percent of Americans who own a smartphone or you wish your home broadband speeds were faster, this is an important development. The two spectrum auctions announced today by FCC Chairman Ajit Pai, planned to begin in November, will help drive innovations in the evolution of 5G. That means the potential for speeds 100 times faster than current 4G networks and far lower latency, or better network responsiveness. "5G has the potential to have an enormously positive impact on American consumers," Pai said in a statement to USA TODAY.
What keeps me awake at night is the thought of artificial intelligence lying in wait in the hands of bad actors. Artificial intelligence combined with the powers of IoT-based attacks will create an environment tapped for mayhem. It is easy to write about, but it is hard for security professionals to combat. AI has more force, severity, and fatality which can change the face of a network and application in seconds. When I think of the capabilities artificial intelligence has in the world of cybersecurity I know that unless we prepare well we will be like Bambi walking in the woods.
AppViewX has a new leader. The company late last month welcomed Ryan Windham as CEO. "We are excited to have Ryan join us at this pivotal point in our journey to become the automation platform that enables digital transformation for the Enterprise," said Anand Purusothaman, former CEO and now chairman of the board. "He brings proven industry experience and will align the company to capitalize on the current dynamics in the marketplace." Windham was previously CEO at Cedexis, which Citrix Systems bought in February.
Huawei's SoftCOM AI solution introduces AI to All Cloud Networks. Designed to create self-driving network architecture, SoftCOM AI is a transformative solution that can help operators compete with OTT companies by using predictive AI to minimize network faults. Telecom services are divided into three tiers: device, network and IT infrastructure, and upper-layer applications. However, in today's telecom's landscape, cross-sector competition is threatening telco revenue models. Thanks to dramatic increases in network speeds, IT and Internet companies are offering cloud services in traditional telco territory: backbone networks, some MANs, IT infrastructure, and IT applications.
Nokia and China Mobile, the world's largest mobile carrier in terms of subscribers, have signed an Memorandum of Understanding (MoU) to investigate the potential of artificial intelligence (AI) and machine learning to optimize future networks and enable the delivery of new edge cloud and 5G services. Under the terms of the agreement, the two companies will jointly establish a laboratory in Hangzhou, China to develop the demo system to verify technology use cases using Nokia's 5G Future X architecture. The deal also stipulates that China Mobile will lead the research in terms of scenario selection, requirements confirmation, open API standardization and solution definition. Under the MoU, Nokia and China Mobile will work together to research the application of AI and machine learning to ensure any changes in demand are predicted and network resources are automatically allocated to meet all service demands with consistent high quality and reliability, the two firms said. At the new laboratory in Hangzhou, Nokia and China Mobile will foster an open Radio Access Network and 5G ecosystem working with third parties to leverage AI and machine learning and optimize networks for the delivery of services such as cloud virtual reality gaming.