virtual agents artificial intelligence
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Virtual Agent
Virtual Agent,Drive enhanced CX with around-the-clock digital self-assistance. Make great first impressions. Your first contact with customers can make or break the experience. With Virtual Agent powered by artificial intelligence, you provide an automated, self-serve customer experience across digital channels that is consistent and personalized. From the first interaction, you can get customers answers quickly using the channel most convenient for them. Virtual Agent is a conversational, digital self-assistant for your customers. Consumers connect with you through their preferred channel 24x7x365 to resolve common inquiries and transactions. You gain an efficient way to manage repetitive tasks, control costs and maintain conversation context throughout the customer experience. How does Virtual Agent work?,When customers reach out by phone, your website or app or common messaging apps, Virtual Agent automates the interaction, answering questions and performing tasks in a conversational way. It retrieves content from knowledge bases, business systems and trusted external sources, and uses AI to provide the most relevant responses. Verizon Virtual Agent - available 24x7x365. Features & benefits,Virtual Agent gives your customers more power to find solutions fast rather than waiting on the phone or sending an email—and gives you a simple way to drive customer experience. We can provide you with a portfolio of customer experience-related professional services, including consultation, journey mapping, system integrations, solution performance monitoring, analysis and enhancement recommendations to help improve customer experiences over time and drive measurable results. Our "train the trainer" methodology helps you implement your digital transformation strategy. A comprehensive e-learning program along with CX consultation will help put you ahead of the learning curve when deploying and managing a virtual agent solution. Connect with customers in the right places at all the right times. Give your agents the answers they need at their fingertips. Take a smarter approach to social insights. Existing customers, to your business account or . If you are already a Verizon customer, we have several options to help you get the support you need. 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 moreArtificial Intelligence (AI) in Education: The Role of AI in Schools Business
AI in education: The role of AI in schools,Author: A.J. O'Connell,Artificial intelligence has been a crucial part of our daily lives for years. AI chooses the ads we see online, filters our emails and acts as our personal assistant. AI helps to make our lives efficient by taking on time-consuming tasks we might not want to do ourselves. It is understandable that educators, parents and others may be unsure about the role of artificial intelligence in education. They all want what is best for students. However, just as we already benefit from AI in our broader society, today's students can also benefit from AI in education. AI can both help stimulate learning and improve engagement, while also taking on some of the time-consuming tasks of teaching. This helps teachers to focus on their most important task—the learning and development of every child. Why use AI in schools?,AI allows software to learn and make decisions often more quickly and accurately than humans. How can educators use AI in education?,AI plays a role in many classrooms already, and Market Research Engine estimates that the , representing a CAGR of 45% over the five-year forecast period starting in 2022. Many of the ways that classrooms use AI—like Google and YouTube—is to find and recommend content. Student engagement,AI can also help students get excited about learning and engaged by providing enhanced classroom experiences in the form of instructional games, activities, and quiz platforms. Take the example of a music teacher in Pennsylvania who used an : Students were able to play with tempo, key, mood and genre to create their own compositions in class. Virtual and augmented reality,typically use AI to create virtual words or augment a person's experience in reality. Both can be used in the classroom to enhance learning. For example, AR allows students to interact with a topic they're learning about, like a 3D model of a human body, a or the water cycle. Virtual reality can allow students to participate in virtual field trips to places that might be impractical (a city in another country) or impossible () to visit. Virtual reality can also help create accessible environments . Assessment,For better or worse, testing has become a huge part of education. AI in education can help ease the burden of grading by scoring students as they take tests. Automatic grading and quiz applications already see ; instructors use them in both online higher education courses and workplace training modules. Online scoring does not remove the teacher from the equation. Instead, the scores are delivered to the teacher via a dashboard where they can review student performance. Personalized learning,Teachers have always adapted learning to the needs of the learners, but . The AI used in adaptive courseware can use a student's performance on a quiz or activity to offer them more practice when they need it in a certain subject, creating a learning path tailored to their needs. Helping educators,Teachers are notoriously overworked. A recent study by EdWeek found —a little less than half of which is spent actually teaching students. Instructors spend the bulk of their time on administrative tasks, grading and other tasks. AI, which often helps businesses , can be used to take some of the workload from teachers' plates. For example, automation can help teachers with record keeping, worksheet creation and some forms of grading. AI can minimize the time teachers spend with repetitive and time-consuming tasks through automation, freeing them for higher-order tasks like lesson prep, curriculum review and—of course—teaching. The role of artificial intelligence in education: Teachers can't be replaced by machines,AI in education can be an invaluable tool, but it's just that: a tool. While some jobs are ideal for machines—repetitive tasks that engender fatigue, for example, or the ability to sift through large amounts of data to find patterns—other jobs are ideal for human beings. Those human tasks require creativity, empathy and higher-level problem-solving. These skills are part of an educator's job and aren't practical for automation. The role of artificial intelligence in education is to help educators. AI can help teachers by augmenting the classroom experience and taking on some of the repetitive workload, so educators can focus on what matters: their students. Learn more about using the right technology. If you'd like to receive new articles, solutions briefs, whitepapers and more—just let us know. . * Indicates a required field. We will follow up from your contact request using the information provided. 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 more5G Artificial Intelligence in Medicine
5G Artificial Intelligence in Medicine,5G and mobile edge computing (MEC) enable life-saving applications, such as AI in hospitals. Innovative applications like video diagnostic assistance, surgical robotics and deep learning are transformatively disrupting patient care, allowing data to accurately direct and augment physician diagnosis. Implementing an optimal network structure that includes 5G edge computing reduces latency and increases performance to a level that enables the full power of AI. Engaging a managed services partner is the most effective way to adopt the latest advancements to position your hospital at the cutting edge of AI. Physicians are eager to expand the use of artificial intelligence in their hospitals—and it's not hard to understand why. Its applications are seemingly endless: machine-directed diagnostic tools, intelligent video endoscopes, image analysis tools. But implementing AI in hospitals is not as simple as flipping a switch. These advancements require the analysis of large amounts of data to reduce the time between data collection and treatment. Medical technology advances quickly, and even the high-powered existing IT infrastructure in a hospital may need upgrades or modifications to effectively deploy AI applications. To unlock the real power of AI in medicine, healthcare facilities may want to consider transforming their existing network equipment to support 5G and MEC. 5G and MEC can enable advanced applications in hospitals that require low latency and short, high-volume connections between devices, applications and users. Verizon's mobile edge computing platform, 5G Edge, delivers this low-latency performance to invite new use cases into the market. With this new edge computing architecture, developers will be able to build applications for mobile end users and wireless edge devices with low latency. That opens up a whole new world of possibilities for public and private sector organizations of all types and sizes: next-generation artificial intelligence (AI), augmented reality (AR) and virtual reality (VR), automated vehicles, real-time monitoring and control, and much more. Aligning mobile and cloud strategies with 5G Edge realizes the full potential of the IoT, improving performance and activating near-real time data. This solution accelerates the flow of information to get the data where it needs to be at the moment it needs to arrive. The fast flow of information could enable doctors to receive and respond to that information rapidly, which could be important in emergency scenarios. The right network infrastructure is needed to support these critical medical advancements; fortunately, a roadmap exists to help you transform your network to enable these applications. Before addressing the network and processing demands that AI creates, it is helpful to review how innovative AI applications can address patient care:,A procedure like a colonoscopy, which relies on visual cues rather than lab tests, is a quintessential example of how video diagnostic analysis can be used inpatient care. Verizon's 5G Edge can be used to support edge-based AI inferencing systems that can power a network-based near real-time machine learning polyp detection platform, for example. Image processing could record video through an endoscope and the video could be sent through the 5G network to a wavelength node. Then an AI model could compare the image data with known profiles of hard-to-diagnose polyps. The node then could send the analysis results back to the practitioner in near real-time over,Real-time artificial intelligence has huge potential to augment human capability when it comes to nuanced analysis. Diagnostic images—including X-rays, CT scans, MRIs and perfusion studies—that have traditionally been "read" by the human eye can now be augmented by real-time AI engines that can detect anomalies in seconds, and in many instances, detect them earlier and more accurately than human analysis, which could facilitate earlier intervention. The faster the images get to the processor, the quicker that analysis can be performed and the inferencing returned to the point of care. notes that, in addition to providing information about objects that are not immediately visible, image processing can sharpen and restore photos, determine patterns and measure objects in the image. Computers can process and compare thousands of images to aid in the diagnosis, and processing these comparisons more quickly can yield a faster, more accurate diagnosis. But first, data needs to be collected and organized. Imaging software gathers the digital composition of the target area, then a computer arranges the data to define the subject, stripping out the redundant information. Once the machine captures the digital image, it uses it to build an image processing algorithm. Where AI in hospitals can improve image analysis is really in the details of how that organization happens. Image analysis software uses filtering, edge detection, anisotropic diffusion and principal component analysis to construct the digital image. The more data the computer analyzes, the more accurate the predictive output. Transmitting the data quickly and efficiently lets AI access as much source data as possible—and the best way to open those floodgates is to implement short, high-volume network connections and low latency transmission. Deployment of 5G networks in hospitals could enable greater use of IoT and AI in medicine to support innovative future capabilities. An IoT network and devices, for example, could help support AI-driven video analytics to observe out-of-the-way areas of the hospital buildings and campus. The technology can alert staff to a number of different concerns, including falls, traffic holdups, emergency vehicle arrival or activity in secure locations. AI video could also play a critical role in the operating room, both for carrying out safe and efficient procedures and for improving future operations. Surgical operations can be complicated, and everyone involved needs work cooperatively to ensure the safety and success of the procedure. Tracking instruments, a task traditionally performed by a surgical assistant, is an important way to safeguard surgical procedures. An AI-enabled camera could automate this task, freeing up space in the operating room and potentially reducing the risk of human error. AI enables deep learning by implementing continuous automated improvement to predictive diagnosis. Deep learning could give doctors an instant, holistic view of a patient's condition and its potential causes. AI can unlock deep learning, but the amount of data that scientists need to develop an algorithm is massive—on the order of 100,000 instances to start, according to , and even greater quantities of training data to drive continuous improvement, reports. The existing and potential applications of AI in hospitals make a convincing case for its deployment. AI in medicine could help improve the accuracy of diagnoses, help doctors make them more quickly and help surgeons perform safer medical procedures. Adding a transformative technology such as AI to even a robust network can cause unnecessary strain if the infrastructure hasn't been prepared. AI in medicine requires a network with low latency and great speed, bandwidth, security and virtualization. If any of those attributes are compromised on a hospital network, it could mean serious problems—in a clinical setting, network availability is absolutely essential. To evaluate the current state of infrastructure and proximity to the end state needed for successful use of AI in medicine, hospitals should follow three steps. AI works with a massive amount of data, and its effectiveness will suffer if there's unnecessary transmission delays. Exclusively using a centralized cloud network could limit the flexibility and scalability of your technology implementation. Along with the rollout of 5G, mobile edge computing (MEC) is poised to help transform the Internet of Things. 5G's superior speed improves the near-real time responsiveness of the application while reducing the cost and volume of network traffic requiring transport to centralized cloud sites. MEC extends the infrastructure much closer to the end application and reduces data travel time. Edge computing can create redundancies in the system and allow for system repair without shutting down the system's unaffected arms. With processing power that much closer to the end user, developers can optimize a section's performance and security independent of the rest of the system. The final step is to implement the system. Latency is a drawback of AI; the sheer volume of data could logjam networks. 5G helps reduce latency; utilizing MEC reduces it even further by shortening the distance between processor and application and minimizing the number of passes a data segment undergoes between processor and end user. Upgrading to 5G networks and moving computing power close to the edge drives latency downward, but the shortest distance between two points remains a straight line. Hops happen when information is routed from one network segment to the next; the more hops there are, the longer it takes the data to return. In principle, minimizing hops reduces latency, but in practice, latency also depends on the quality of the routers at each step. Given the extreme demands of AI in medicine, minimizing hops can help to further decrease latency. To reach a target minimal latency, shortening the path between processor and device and minimizing hops to the degree possible is the best approach. Preparing hospital infrastructure for 5G and MEC implementation will involve two separate phases—one with a team well-versed in the applications of the technology and a second with a team that will run the process around the technology and conducts the integration. Within those phases, hospitals should prepare for these distinct steps:,It is essential to carve out a budget for upgrades. Depending on what you need, you might need to create a capital expenditure roadmap to add the proper infrastructure. Once your infrastructure is in place, you can identify the team you'll need to keep the critical functions moving while you update the infrastructure. Optimize staff access to avoid delays and inefficiencies when using 5G and MEC and to prevent the introduction of unnecessary security risks. Once you've found the right group of essential personnel, you can decide how to create a hybrid internal-external team to transition operations to the new network. But you have to consider the costs and benefits of managing your network yourself or engaging a partner. Keeping everything in-house will likely save real-dollar expenses, but the tradeoff is decreased flexibility for resource deployment. Wholesale replacement of an existing network is unrealistic—in order to overhaul a network in this way, the replacement network would need to be deployed in parallel, resulting in duplicate costs and maintenance. By partnering with a managed services provider, hospitals supplement their networks and remove the barriers that prevent real-time connectivity. Initiatives such as video diagnostic assistance, image analysis, surgical robotics and deep learning could help transform patient care. AI helps to make these technologies possible—and 5G and MEC can make AI in medicine possible. Implementing an optimal network structure that includes 5G Edge computing could reduce latency and improve performance to a level that unleashes AI's full potential. Engaging a managed services partner is the most effective way to adopt the latest advancements and position your hospital at the cutting edge. Learn how implementing an optimal network structure that includes computing could reduce latency and improve performance to a level that unleashes AI's full potential. "How to Implement Artificial Intelligence for Solving Image Processing Tasks," Maria Yatsenko and Vadim Zhernovyi, (Sept. 17, 2020). 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 moreCase Studies related to "virtual agents artificial intelligence"
University of Illinois Shutdown & Virtual Learning Business
Learn how the University of Illinois partnered with Verizon to provide virtual learning technology. Discover how students succeeded during a campus shutdown.
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