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Leverage digital-ready infrastructures to help you break new ground and reimagine everything from operations to customer interactions. Power your cutting-edge solutions—from smart cities to virtual healthcare, autonomous vehicles, remote learning and more—with a foundational network and wireless connectivity that draws in customers and engages employees. Enable enhanced performance. Scale speed, access and service. Bring digital-first to life. Make your network work smarter. See how we helped the digital advertising firm build consistent network reliability across widely distributed locations to connect its fleet of drivers and enable clients to push content at optimal times. Learn how Frazil used IoT devices and Verizon connectivity solutions on its frozen beverage machines to monitor and step in to fix issues often before its retailers were faced with broken equipment and lost sales. Mobile Health heavily relies on the speed and scalability of business internet services to help deliver touchless and seamless patient experiences. Virtualization and software-defined networking can make it easier for organizations of all sizes to deploy new apps and services, ultimately helping with on-demand growth, scalability and other long-term goals. Secure user access and leverage greater insights and analytics into user behavior to help deliver a better, more personalized experience. Easily spin up and spin down applications and resources on demand to align with business priorities. Streamline the design and deployment of your software-defined wide area network (SD WAN). Prepare your network for rapid growth in the cloud with our digital-first Network as a Service (NaaS) solution that helps enhance agility, flexibility and resiliency. Ramp up bandwidth whenever you need it so your employees and customers can stay connected to the apps and data they depend on. Digital transformation technologies serve all your users—customers, employees, constituents, partners and vendors—in the immersive and personalized ways they increasingly expect, while maintaining security and compliance and limiting demands on your IT staff.. Bring computing power right to where work happens and enable a mobile-first strategy for transformative organizational performance. Secure your advanced network technologies with zero-trust access and a web gateway that protects people and devices across locations. Leverage the speed of 5G connectivity and power of smart systems in digital-first infrastructures, position yourself to break new ground and reimagine everything from operations to customer interactions. Take the accelerated path to develop and deploy intelligent IoT solutions. Manage your fleet with advanced software solutions that improve operations, increase worker productivity and encourage safer driving. Meet the most demanding workloads with high-capacity connectivity and ultralow latency that reliably and securely connects all your endpoints. Build a virtual private network foundation to support your digital transformation, connect multiple locations, optimize traffic and gain deeper data management insights. Power your small to medium-size businesses, enterprises, mobile locations and temporary sites with speed, agility and flexibility. We know you value peace of mind when it comes to your organization's network performance. Our professional and managed services can take care of the day-to-day network operations, leaving you free to do what you do best. Integrate cloud, virtualization and other advanced network architecture to help power the innovations you want to see come to life. Get streamlined solutions that keep you focused on growth, security and your customers without breaking your budget. Protect operations while seamlessly adjusting to changing circumstances with little to no interruption. If you are already a Verizon customer, we have several options to help you get the support you need. Choose your country to view contact details. Existing customers, to your business account or . These cookies are necessary for the website to function and cannot be switched off in our systems. They are usually only set in response to actions made by you which amount to a request for services, such as setting your privacy preferences, logging in or filling in forms. You can set your browser to block or alert you about these cookies, but some parts of the site will not then work. These cookies do not store any personally identifiable information. These cookies allow us to count visits and traffic sources so we can measure and improve the performance of our site. They help us to know which pages are the most and least popular and see how visitors move around the site. We use both third party and first party cookies for this purpose. All information these cookies collect is aggregated and therefore anonymous. If you do not allow these cookies we will not know when you have visited our site, and will not be able to monitor its performance. These cookies enable the website to provide enhanced functionality and personalisation. They may be set by us or by third party providers whose services we have added to our pages. If you do not allow these cookies then some or all of these services may not function properly. These cookies may be set through our site by Verizon and third parties. They are used to present Verizon advertising on third party sites that you may visit. They do not store directly personal information, but are based on uniquely identifying your browser and internet device. If you do not allow these cookies, you will experience less targeted advertising from Verizon. BackClear Filters,All Consent Allowed
Learn moreHow and why AI diagnostics are changing hospital treatment Business
Author: Whitney J. Palmer,What AI diagnostics can do,As technology advances, the opportunities for AI diagnostics to affect and augment healthcare delivery continue to expand. There is over whether these tools will one day replace physicians in the diagnostic process. To date, however, there are already several applications for these healthcare AI tools in hospitals. across multiple industries. With its ability to learn from and perform tasks that typically require human intelligence, artificial intelligence (AI), and specifically machine learning, can help minimize errors, streamline processes, analyze large sets of data, and boost productivity and efficiency. In healthcare, AI is being used in many ways. For instance, can help physicians, clinicians and specialists diagnose diseases and conditions earlier which leads to more informed decision-making and a more efficient level of care. From disease detection to surgical efficiency to modernizing workflow management, these healthcare AI tools are revolutionizing the way hospitals function and deliver care. ), "Machine learning technologies can help identify hidden or complex patterns in diagnostic data to detect diseases earlier and improvetreatments." The global market for AI diagnostics specific to cancer is projected to expand at a; these technologies could help detect hidden or complex patterns in diagnostic data that can help detect and treat the cancer earlier. With the power behind , the healthcare industry stands to gain enormously. With 5G enhancing the power of AI diagnostics, hospitals could experience greater institutional efficacy, heightened productivity and provide more effective care. What are AI diagnostics?,AI diagnostics are machine learning tools designed to improve the overall delivery of healthcare services. While many AI algorithms are designed to assist with diagnosis, others are intended for use with patient risk identification or drug discovery. Additional AI are devoted to workflow management. Many of these tools are equipped to evaluate large data sets. Based on these analyses, they can quickly offer actionable data and analysis that can affect clinical decision-making and patient outcomes. The importance of AI diagnostics,Within the healthcare industry, accurate diagnoses are the bedrock of successful patient care. However, every year, approximately 12 million Americans— —will receive an incorrect assessment of their condition. These mistakes can lead to delayed treatment, more severe disease, and even death. In recent years, the use of AI diagnostics has expanded to address this problem. These healthcare AI tools are capable of recognizing disease in the earliest stages, frequently long before detection is possible with the human eye. As a result, patients can . Earlier detection with medical AI may mean that patients experience fewer complications, and typically they have better outcomes. Diagnostic images—including X-rays, CT scans, MRIs and perfusion studies—that have traditionally been "read" by that can detect anomalies in seconds, and in many instances, detect them earlier and more accurately than human analysis, which could facilitate earlier intervention. Plus, treatments may end up being for the individual and also less resource-heavy for the hospital. What AI diagnostics can do,As technology advances, the opportunities for AI diagnostics to affect and augment healthcare delivery continue to expand. There is over whether these tools will one day replace physicians in the diagnostic process. To date, however, there are already several applications for these healthcare AI tools in hospitals. Improving image analysis,Hospitals rely on accurate MRI, CT, and X-ray interpretation to provide the highest level of care. Using quick, efficient data transmission, AI algorithms pull as much information together as possible to reconstruct the most detailed diagnostic images. Based on these recreations, these tools can detect abnormalities that may otherwise go unnoticed. Video diagnostic assistance,Procedures that rely on visual cues rather than lab tests, such as colonoscopies, can benefit from AI-enabled video diagnostic analysis. Using an AI inferencing system, hospitals can compare video captured through the endoscope to existing data on difficult-to-diagnose polyps. With a high-speed network, doctors can receive a near real-time alert to trigger a biopsy. These early warnings can mean the difference between a pre-cancer diagnosis or later-stage treatment. Operating room,Healthcare AI tools can contribute to greater safety in the surgical suite. For example, an AI-enabled camera can be programmed to track instruments used during a procedure—a job traditionally assigned to a surgical assistant. Not only can the camera provide a real-time notification of any missing instruments, but it also frees up space in the operating room. Impact on healthcare providers,AI diagnostics do more than impact patient care. They can also alleviate many of the workflow struggles healthcare providers face daily. For several years, burnout has been a buzzword in the industry, and the pandemic has only exacerbated the problem. Today, report experiencing at least one burnout symptom. Many of these problems are linked to administrative tasks and a reduced capacity to interact with patients. Implementing AI diagnostics and algorithms can help fix this issue. Within the next five years, industry estimates predict healthcare AI tools, such as near real-time natural language processing, could potentially . Network requirements for AI diagnostics,The intent of AI diagnostics is to enhance and accelerate the delivery of care. If these tools can't perform tasks faster than human healthcare providers, they can't make an impact on patient care and outcomes. Consequently, the underlying requirements of any network to support these algorithms are high speed and low latency. , such as Verizon 5G Edge, can fulfill this need. Compared to 4G technology, 5G speeds are up to 10 times faster. MEC also doubles down on the low latency available through 5G by providing short, high-volume connections between applications, devices, and end users. This rapid information flow helps providers with timely clinical decision-making, particularly in emergency scenarios. How enterprise intelligence can help,A hospital infrastructure powered by creates the most effective environment for patients and providers alike. It provides the near real-time connectivity needed for AI diagnostics to position those insights at the point of care exactly when they're needed for clinical decision-making. In fact, according to a HIMSS Market Insights survey, believe 5G will have a significant or moderate positive impact on AI and its use in diagnostics. 5G offers the extreme low latency needed to power fast, precise detection. For example, the aforementioned high-fidelity imaging used for cancer screening, such as identifying polyps with colon cancer, demands a significant level of sensitivity. Catching the slightest abnormalities necessitates latency requirements that can fall as low as sub-20 milliseconds. Medical AI and a connected hospital,A powered by private 5G offers a more seamless flow of information bolstered by a higher level of security and bandwidth. Across the country, over the next decade. That means the workload and clinical burden are also expanding for hospitals and health systems. To keep up with their clinical responsibilities and administrative needs, these facilities will need automated help. Leveraging AI diagnostics can be the answer. Implementing these tools in a 5G-enabled enterprise intelligence environment can create a sweet spot for greater efficiency and improved patient care. With these algorithms in place, both patients and providers will experience the benefits that come with faster data analysis and greater diagnostic accuracy. about how Verizon can help you build the network foundation for the connected hospital of the future. Singh H, Meyer AND, Thomas EJ, BMJ Quality & Safety 2014;23:727-731. HIMSS, , page 6. Choose your country to view contact details. Manage your account or get tools and information. These cookies are necessary for the website to function and cannot be switched off in our systems. They are usually only set in response to actions made by you which amount to a request for services, such as setting your privacy preferences, logging in or filling in forms. You can set your browser to block or alert you about these cookies, but some parts of the site will not then work. These cookies do not store any personally identifiable information. These cookies allow us to count visits and traffic sources so we can measure and improve the performance of our site. They help us to know which pages are the most and least popular and see how visitors move around the site. We use both third party and first party cookies for this purpose. All information these cookies collect is aggregated and therefore anonymous. If you do not allow these cookies we will not know when you have visited our site, and will not be able to monitor its performance. These cookies enable the website to provide enhanced functionality and personalisation. They may be set by us or by third party providers whose services we have added to our pages. If you do not allow these cookies then some or all of these services may not function properly. These cookies may be set through our site by Verizon and third parties. They are used to present Verizon advertising on third party sites that you may visit. They do not store directly personal information, but are based on uniquely identifying your browser and internet device. If you do not allow these cookies, you will experience less targeted advertising from Verizon. BackClear Filters,All Consent Allowed
Learn moreProcessing Sensor Data at the Edge: Advantages for the Energy Sector Business
Processing sensor data at the edge: Advantages for the energy sector,Author: Rose de Fremery,Energy and utility companies are increasingly using sensors to track energy usage, demand, outages and other crucial business metrics. In doing so, they're in line with a larger overall business trend. According to , 75% of enterprise-generated data will be created and processed outside a traditional data center or cloud by 2025. Curious about processing sensor data at the edge advantages and why so many organizations are turning to this method of data collection? Here's how processing sensor data at the edge can help energy and utility businesses quickly make autonomous decisions, improve worksite safety, reduce energy consumption and improve network performance. Network performance improvements,Energy businesses can gain powerful insights by collecting a large volume of sensor data, but then they're faced with a challenge: how to best process it. If they choose to process the data in a data center or in the cloud, they may run into latency issues that slow down the rate of processing, which throws a wrench into a timely decision-making process and can limit the autonomy of a local facility. Processing data off-site may also while constantly transmitting the sensor data, which increases costs and can affect overall network performance. By processing sensor data at the edge, however, energy and utility companies can significantly reduce the latency involved in data transmission. Since all processing happens locally, there's no need to transmit the data from so many sensors back to the data center or up to the cloud before performing the necessary analysis. This enhanced network performance can lower the company's bandwidth usage, which often improves its overall network performance and increases the capacity that can be allocated to other network services. It can also reduce the costs associated with bandwidth consumption, resulting in leaner and more efficient operations. The most compelling advantages of processing sensor data at the edge, however, have to do with timely and autonomous decision-making. Quick, autonomous decision-making,When an accident or an anomaly happens, an energy facility or utility company may need to quickly make a decision about how to respond. This isn't always easy, however, when sensors are located in far-flung and inhospitable locations with reduced internet connectivity. Processing sensor data locally at the edge makes timely and autonomous decision-making easier, furnishing leaders with the information they need to act. That way, they don't have to aggregate large quantities of data, send them to the cloud and wait for word to come back. Local and autonomous decision-making can improve worksite safety by giving managers the insight they need to respond to an emerging safety incident. For example, water companies can monitor to keep tabs on work sites, such as mines and oil rigs, responding right away if their workers' safety is threatened—for example, by automatically shutting down a section of pipe upon detection of a failure. That same kind of sensor data can be used to proactively notify customers if water contamination has occurred, so they can secure their businesses and homes. With the agility to act in near real time, the business can mitigate the impact of an unexpected event and protect its business reputation. Enhanced equipment monitoring,Energy and utility companies are also processing sensor data at the edge to improve equipment condition monitoring. For example, they can place wireless, throughout the grid to monitor power quality. If a failure occurs, the system can send an alert right away, so local managers can take the appropriate action. These alerts can be triggered in the case of an outage, a fault or a restoration in service. With real-time equipment condition monitoring, managers can quickly dispatch crews to fix the affected equipment and minimize the resulting downtime. This capability can also be used for predictive monitoring, empowering the energy company to proactively address equipment issues before they affect customers. In this way, they can improve the customer experience while also reducing the operational costs and revenue impact associated with downtime. Reduced energy consumption,Smart meters can monitor energy consumption data in near-real time, allowing energy and utility companies to better understand how their services are being consumed and use that information to optimize their operations. With 5G and Edge computing more smart meters can be deployed in mass to monitor, maintain & manage energy consumption in near real time. This could enable energy and utility companies to better understand energy usage and optimize their operations. This way, customers can become partners with energy and utility companies in helping prevent service issues and can enjoy a better customer experience in the process. Customers who place a high priority on sustainability may appreciate being able to take control of their energy usage. In addition, since overall than cloud computing at scale, this practice may help energy and utility companies do their part to ensure a sustainable future. Edge computing is modernizing the energy sector,Energy and utility customers are becoming more sophisticated, demanding a higher standard of service from the companies with which they do business. IoT sensor data makes it possible for these companies to optimize their operations and meet customer demand for a high-quality experience. To access the full spectrum of features that IoT can enable, however, they may want to consider a hybrid architecture with edge computing versus just a traditional cloud. Processing sensor data at the edge advantages include not only enhanced network performance but also rapid local decision-making, improved equipment monitoring and reduced energy consumption. By modernizing their businesses in this way, energy and utility companies can build a solid foundation for long-term business growth. Learn how an oil company was able to with M2M. Choose your country to view contact details. Manage your account or get tools and information. These cookies are necessary for the website to function and cannot be switched off in our systems. They are usually only set in response to actions made by you which amount to a request for services, such as setting your privacy preferences, logging in or filling in forms. You can set your browser to block or alert you about these cookies, but some parts of the site will not then work. These cookies do not store any personally identifiable information. These cookies allow us to count visits and traffic sources so we can measure and improve the performance of our site. They help us to know which pages are the most and least popular and see how visitors move around the site. We use both third party and first party cookies for this purpose. All information these cookies collect is aggregated and therefore anonymous. If you do not allow these cookies we will not know when you have visited our site, and will not be able to monitor its performance. These cookies enable the website to provide enhanced functionality and personalisation. They may be set by us or by third party providers whose services we have added to our pages. If you do not allow these cookies then some or all of these services may not function properly. These cookies may be set through our site by Verizon and third parties. They are used to present Verizon advertising on third party sites that you may visit. They do not store directly personal information, but are based on uniquely identifying your browser and internet device. If you do not allow these cookies, you will experience less targeted advertising from Verizon. BackClear Filters,All Consent Allowed
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