Wireless networks, known as private enterprise networks (PENs), are those that are owned and managed by a single company or organization for their sole usage. The internal business processes of the company, such as communication between personnel, equipment, and systems, are created to offer a secure and dependable communication infrastructure.
5G technology can be used to install PENs, among other things. The fifth generation (5G) of cellular technology offers higher speeds and reduced latency than earlier generations. Because it enables the establishment of specialized, private networks that may be used for particular applications and that can be tailored to match the needs of the business, it is especially well suited for PENs.
Using a 5G PEN has a number of advantages. For instance, because it is not open to the public, it can offer a higher level of security than a public network. As it is not subject to the same congestion and interference as a public network, it can offer a more dependable and consistent connection. A 5G PEN can also be modified to match the particular requirements of the company, enabling the deployment of unique applications and services.
Private enterprise networks (PENs) are beneficial for corporations and organizations for a number of reasons. Among the key advantages of PENs are:
Security: Unreachable by others, PENs offer a private and secure communication infrastructure. This can guard against illegal network access and safeguard critical data.
PENs are not affected by the same congestion and interference as public networks, so they can offer a more dependable and consistent connection than a public network. For mission-critical applications that demand a high level of uptime, this may be very crucial.
PENs can be tailored to a company's unique requirements, enabling the deployment of bespoke software and services. This can aid companies in increasing productivity and operational efficiency.
Since PENs do not need the payment for access to a shared network, they may be more affordable than accessing a public network.
For enterprises and organizations aiming to boost internal communication and operational effectiveness, PENs provide a practical and adaptable option.
For many of the same reasons that private enterprise networks (PENs) are valuable for other businesses and organizations, colleges can also benefit from them.
The following are some potential advantages of PENs for universities:
PENs provide a secure and private communication infrastructure that is not accessible to outsiders. This can help to protect sensitive data, such as student records and research findings, and prevent unauthorized access to the network.
PENs can provide a more reliable and stable connection than a public network, as they are not subject to the same congestion and interference. This can be important for universities, as they often have many users accessing the network at any given time.
PENs can be customized to meet the specific needs of the university, allowing for the deployment of specialized applications and services. This can include educational resources and tools, as well as administrative systems.
PENs can potentially offer cost savings compared to using a public network, as the university does not have to pay for access to a shared network.
Generally, PENs can be a valuable tool for universities looking to improve their internal communication and operational efficiency. They can provide a secure and reliable communication infrastructure that is customized to meet the specific needs of the institution.
Cities can use private enterprise networks (PENs) to enhance staff communication and collaboration and to streamline the provision of services to people. PENs could be used in a variety of urban settings, such as:
PENs can help public safety organizations, such as the police, fire, and emergency medical services, communicate and work together. This can facilitate better coordination of emergency response efforts and response times.
Systems, including buses, railroads, and traffic management systems, may all be controlled and communicated using PENs. This may aid in enhancing the effectiveness and dependability of these systems.
Utility systems, including those for water, electricity, and gas, can be communicated with and controlled using PENs. This may aid in enhancing the effectiveness and dependability of these systems.
PENs can be used to facilitate the delivery of public services, such as social services, healthcare, and education. This can help to improve the accessibility and quality of these services.
Several trends are likely to shape the future of private enterprise networks.
As 5G technology becomes more widely available and cost-effective, it is likely that more businesses and organizations will adopt 5G PENs. 5G offers faster speeds and lower latency than previous generations of cellular technology, making it well-suited for applications that require high-bandwidth and low-latency communication.
As the number of connected devices continues to grow, PENs will likely play an increasingly important role in supporting the communication and control of these devices. PENs can be used to connect and manage a wide variety of IoT devices and systems, such as smart lighting, security systems, and environmental monitoring systems.
As the importance of protecting sensitive data and preventing unauthorized access to networks grows, PENs will likely continue to be a popular choice for businesses and organizations due to their inherent security advantages.
As PENs become more widely adopted, it is likely that new applications and services will be developed that take advantage of the unique capabilities of these networks. This could include the deployment of specialized applications for specific industries or the development of new services that leverage the high-bandwidth and low-latency capabilities of 5G PENs.
Overall, the future of PENs looks bright, with continued growth and innovation likely in the coming years.
In general, 5G PENs provide a practical and adaptable solution for companies and organizations aiming to boost internal communication and operational effectiveness.
Original article source at: https://www.xenonstack.com/
Thanks to the Internet of Things (IoT), more and more devices are connected, including homes, heating systems, fitness trackers, and vehicles. Edge computing processes data closer to the source, enabling real-time data and analytics and improving reliability, performance, and cost. According to IDC, the global edge analytics market is expected to grow at a CAGR of 27.6% between 2017 and 2025, driven by the increasing number of connected devices.
Humans generate more than 2.5 exabytes of data every day. Imagine sending about 1.7 megabytes per second for everyone on the planet to be processed centrally. The amount of data generated by IoT devices is growing as fast as the number of devices themselves and needs to be processed quickly to achieve fast response times and low latency. This is important for companies exploring the technical possibilities of innovative computing solutions.
Massive consumer demand for higher speeds will bring the emergence of 5G, which focuses on large-scale machine technologies such as broadband, low-latency communications, and autonomous vehicles (AVs). Its communications are expected to be up to 1000 times faster than 4G, allowing devices to respond in milliseconds. Consumers can download Full HD movies to their mobile devices in seconds. It plays a central role here, solving various challenges such as latency, governance, security, and monitoring. With the advent of 5G, the modeling of it is changing. As a result, the methods, locations, and technologies used to provide infrastructure for data center providers, software developers, and others are changing.
Today's 4G networks can support approximately 4,000 devices per square mile. A network offering 5G connectivity would dramatically increase that number to about 3 million units per square mile. It no longer makes sense to process all data collected from these devices in national or regional data centers. It moves your data center closer to where you need it, reducing processing time.
"The cat video illustrates the need for it. When you post one of your videos online and it starts getting hits, it needs to be cached on more servers and put back in the cloud. If it's going to go viral, we need to get this content as close to our subscribers as possible. As a carrier, or as Netflix, or whatever else, closest to the edge of the cloud is the key point on the internet. It is the base of a mobile phone base station. This is MEC's concept of Multi-Access Edge Computing, bringing content closer to subscribers. When billions of cat callers are connected, I'm completely flipping the paradigm and trying to push all these devices up instead of things trying to pull it down. As a result, the computational power must be further reduced."
This is an ironic example. Most consumers don't need such a delay to share cat videos. Streaming works great on 4G for the most part. But for many services, such as self-driving cars and virtual reality, a few milliseconds of latency can make a big difference.
Its cellular networks are the latest global wireless standards developed by 3GPP. 4G networks will provide connectivity for most mobile phones today, while 5G will enable connectivity for a broader group of devices, from machines to vehicles. It is designed to meet several demanding needs, including:
The use cases of Edge Computing with 5G are listed below:
It enables intense changes in healthcare with low latency applications, huge bandwidth, and enabling massive IoT. It dramatically increases how much we can gather about a medical condition; we can minimize the data loss by immediately informing a central repository. Low latency enables tools to be used in real-time.
It has various other applications in staff communication, logistics, and other aspects of medicine.
Organizations use it with its networks for Transformative Medicine to support cancer research, treatment, and wellness education. Some use cases include 3D tumor imaging, patient location maps, and better and faster data collection and analysis.
Edge computing and Manufacturing are very much connected. It is helping businesses to improve logistics by improving operating, reducing waste, and reducing manufacturing and assembly line errors.
The companies are using it with 5G so that 5G connectivity supports connections from tablets and phones used on the production lines to over-the-air software updates for the vehicles.
When combined with it gives you space for new products, experiences, and platforms in every industry.
One can continue to benefit from the dynamic resource allocation and continuous delivery features of cloud computing by utilizing the computational power of edge devices, gateways, and networks.
Businesses today can extend the virtualization of the cloud outside the confines of the data center thanks to it. Moving workloads developed in the cloud toward the edge, including some of the most advanced types of AI and analytics, is now possible. Edge data can be cleaned up, optimized, and sent back to the cloud when necessary.
A global edge computing infrastructure is required to deploy 5G networks successfully. The latter plays a leading role in data processing, storage, and security. It is essential to dig deeper and evaluate each component in the network. This is because it is only as strong as the weakest link in your network. For example, servers installed in it nodes must meet high demands for high performance and low latency. That means fast SSDs, faster processors, I/O, high-bandwidth NICs, optimized containers, and efficient architecture. A thorough analysis is essential. Otherwise, one of the key benefits of 5G, i.e., low latency, will be compromised.
Original article source at: https://www.xenonstack.com/
This video on 5G Explained In 7 Minutes will acquaint you with what is 5G and how 5G works. 5G: the next-gen network is currently gaining popularity across the globe, hence, let us now dive deep and learn what 5G is all about!
✅5G can operate as much as ten times faster than 4G, thereby reaching a peak speed of 20 GB per second. 5G could really transform businesses by using robotics and AI.
✅Any information in a network, is carried through the air with the help of radio frequencies. 5G operates similarly; however, it uses higher radio frequencies to carry more information faster. The beauty of 5G that he discovered was that 5G utilizes multiple input and output antennas to avoid physical objects like buildings and trees coming in the way of communication.
✅5G consists of 2 main components, the Radio Access Network and the Core Network. The Radio Access Network includes Small Cells, Macro Cells, towers, and home systems connecting users and devices to the Core Network. Macro Cells use multiple input and output antennas that enable one to send and receive large volumes of data simultaneously, and Small Cells complement these Macro Cells. Meanwhile, the Core Network of 5G manages all the internet and data connections. The core network is designed to integrate with the internet much more efficiently. The core manages the advanced features of 5G, like network function virtualization and network slicing.
✅5G provides several applications and opportunities across different sectors. 5G deployment is preventing companies from going out of business.
Communication Services Providers (CSPs) are embracing cloud and virtualization as they modernize their networks and deliver 5G and edge computing services. In this video, Sai Vennam with IBM Cloud, explains how AI-powered automation improves business process and service assurance while lowering operations costs.
In this video, Sai Vennam with IBM Cloud, explains how AI-powered automation improves business process and service assurance while lowering operations costs
Learn more about Telco and 5G → http://ibm.biz/telco-5G-white-paper
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#5G #AI #TelcoCloudTransformation
#5g #ai #telcocloudtransformation
NVIDIA recently announced that it was creating the first AI-on-5G Open Innovation Lab in partnership with Google Cloud. It is intended to assist industry players and AI software partners with developing, testing, and adopting solutions to help improve city infrastructure, factories, and other 5G and AI applications.
Read more: https://analyticsindiamag.com/worlds-first-ai-on-5g-lab-what-to-expect/
#nvidia #ai #5g
5G technology, a breakthrough in wireless networks, is expected to be the next big advancements in business network communication. Many businesses these days are looking at the progress of this technology with anticipation and apprehension. 5G will deliver extensive gains and possibilities to enterprises, but it will also demand considerable changes in infrastructure at every level. Thanks to its higher speed and lower latency, this fifth-generation network is beneficial for data collection from various data sources. Meanwhile, as the proliferation of IoT is anticipated to generate 90 zettabytes of data by 2025, 5G promises faster and more reliable, real-time data to become available.
It provides significant network performance characteristic improvements over the previous generations’ networks. Evolving business models and intermediaries in the 5G value chain are intended to cater to the need for connectivity and for providing differentiated services to niche market segments and customers alike. Undeniably, the convergence of 5G, IoT and advanced data analytics is set to disrupt the business ecosystem. While data is the new oil for companies, the fifth-generation network will give companies the ability to perform data collection from various datasets in real-time.
#big data #latest news #explicating 5g and its impact around big data creation #5g #big data creation #explicating 5g
The company that monetizes the data exhaust created by 5G through AI/ML-powered feedback loops will become the next Google.
Recently, I was part of a panel hosted by Chetan Sharma about 5G discussing the impact of AI/ML in closing feedback loops within the enterprise. Other panels pondered how 5G will impact edge computing and IoT ecosystems under the continued threat of OTT (over the top) players. After reflecting on the event, let me make a contrarian statement: 5G will make the cloud-edge boundary porous at best and disappear eventually. The emergence of the real-time data cloud will bring about the death of edge compute for analytics as we know it. Let me explain why.
The potential of analytics at the edge has been discussed for a decade, but credible value creation remains out of reach. Solutions such as GE Predix, which were supposed to empower the next Google, have since faded into the sidelines. In the meantime, we are experiencing massive adoption of devices by consumers. Edge’s value is being realized by sensors embedded into these devices as they interact with the cloud. The value of analytics at the edge, however, remains a distant promise.
#cloud #edge computing #machine learning #5g #real-time data
Recently, the Department of Telecommunications has greenlighted Telecom Service Providers (TSPs) including Bharti Airtel Ltd, Reliance JioInfocomm Ltd, Vodafone Idea Ltd and MTNL to conduct 5G trials. To that end, the TSPs have partnered with Ericsson, Nokia, Samsung and C-DOT. Interestingly, the TSPs have not opted for a Chinese original equipment manufacturer or technology. Meanwhile, Reliance will use in-house technology for the trials. More 5G announcements are expected at the Reliance AGM scheduled for June 24.
Read more: https://analyticsindiamag.com/indias-5g-bet-opportunities-challenges/
Converged edge solutions can help alleviate challenges while accelerating deployment, services, and connectivity in support of specific industry verticals.
Digital transformation initiatives across all sectors of the economy are leading to an unprecedented uptick in data — both from a creation and consumption standpoint. This data proliferation is leading to a massive strain on service provider networks, which must be rearchitected to handle a new wave of customer demand. A converged edge solution might solve the problem.
One of the promises of 5G is its ability to deliver a more agile network that meets this demand while expanding innovation potential for enterprises looking to harness data closer to where it’s being produced — often referred to as the edge of the network.
While edge computing represents a $17 billion market opportunity for service providers, according to global research firm Analysys Mason, just 6% of enterprise IT decision-makers consider service providers experts in the edge space. Further, more than half of that market resides within user-facing applications and service platforms.
To position for the future, service providers need to effectively use their networks to tap into the value at the edge today while positioning for tomorrow’s agile service platforms. They can quickly bring new edge-enabled applications to market by:
#big data #big data architectures #edge computing #from our experts #internet of things #5g #edge
5G, with its promised high-speed, low-latency performance, is finally here and with it a plethora of intriguing cloud computing developments loom. It is a near-future tech boon that is impossible to overstate as 5G’s impact on the ability to create, store, use, and share data will be felt across most business sectors, especially those using the Internet of Things (IoT), AI, and machine learning. Already redefining business networks, 5G will also shift the role that cloud computing and networks play in storing, moving, and accessing data as innovation drives and creates more technological applications for digital business transformation.
Over the past ten years, cloud computing has been an integral part of maintaining healthy IT infrastructures as businesses demand better, quicker collaboration and productivity from their distributed workforce. Increasingly safer and scalable, the cloud has been a remarkable workaround for universally slow network speeds — allowing the easy transfer and sharing of large files between devices while also providing backup and recovery services to safeguard that data in case of a cybersecurity attack or natural disaster.
#big data & cloud #cloud computing #5g #cloud
I want to objectively take a brief look at what we’re offered by AWS for those who actually want to take advantage of 5G in their products and services, either right now or in the near future. 5G is indeed a revolutionary technology which will open brand new paths for putting all the information out there to use, it’s likely to bring the adoption of Artificial Intelligence to the very fabric of society, but I doubt if most executives out there have a clear plan for utilizing this technology with the existing tools out there. Since working with 5G will require using Cloud-based services for most companies, I think it will be a good idea to start with AWS, which is the largest of the hyperscalers.
In his speech at AWS re:Invent 2000 on 5G, Mickey Iqbal, Solutions Architect at AWS, remarks that the most important problems CSPs need to solve for bringing applied 5G to the field are transport needs, complexity of orchestration, virtualization and, of course, monetization. According to him AWS’s solutions for those are providing microservices patterns, stateless architectures, DevOps based tooling, API based programmable architecture patterns, and containers. A bit too non-specific, if you ask me.
#iot #cloud #future-technology #5g #aws
6G is the next generation for the communication systems. In recent years, machine learning algorithms have been applied widely in various fields such as health, transportation, and the autonomous car. The predictive algorithms will be used in 6G problems. With the rapid developments of deep learning techniques, it is critical to take the security concern into account to apply the algorithms. While machine learning offers significant advantages for 6G, AI models’ security is ignored. Since it has many applications in the real world, security is a vital part of the algorithms. This post has proposed a mitigation method for adversarial attacks against 6G machine learning models with adversarial learning. The main idea behind adversarial attacks against machine learning models is to produce faulty results by manipulating trained deep learning models for 6G applications.
#cybersecurity #6g #5g #artificial-intelligence #deep-learning
The US and its allies have been at loggerheads with China over the progress it made in 5G and other emerging technologies.
Read more: https://analyticsindiamag.com/recent-use-of-ai-in-5g-shows-why-its-hard-to-shun-china-in-tech/?fbclid=IwAR2xwO5SrTQtPAIMkiOxA2R2cNtv0ikIi9LBqtyT9tDhW__Oc-qzPl-zouQ
#5g #china #emergingtech #ai
Qualcomm has announced the release of the Snapdragon 888, which is its latest 5G-equipped flagship smartphone processor. This, according to the company, would set the benchmark for flagship smartphones in 2021
#qualcomm #smartphones #ai #5g #processor #computing
Joining the elite list of investors, such as Facebook, Google has now paid ₹33,737 crores to Jio Platforms Limited, a subsidiary of the Mukesh Ambani-owned Reliance Industries Limited (RIL). With this investment, Google owns a 7.73% stake in Jio. This is touted to be one of the largest investments of Google in an Indian company.
#google #jio #indiainc #5g #4g #technology