<\/strong>
In 2025, 5G networks<\/a> will carry nearly half of the world’s mobile data traffic, as per Ericsson<\/a> Mobility Report. In fact, as per the same report, global mobile data traffic is forecast to reach 160 exabytes per month in 2025, up from 38 exabytes per month by the end of 2019. The drivers will include rapid proliferation of smartphones, adoption of consumer immersive services like AR\/VR, a rise in the number of connected devices, increasing HD video consumption with the rise of OTT and streaming services.
According to a recent Ericsson Report on AI and Automation (Supercharging customer experience through AI and automation<\/a>), nearly 75% of IT decision makers in enterprises find digitalization very important or crucial to the future of their business. According to the same report, it is anticipated that in five years, 20% of mobile subscriptions globally will be on 5G networks and that the Internet of Things (IoT) will flourish, with more than 22 billion IoT connections. Industry 4.0 is also expected to be realized.
As advanced use cases, powered by 5G and IoT, become commonplace, legacy networks will need to evolve to be able to react in real-time to increased demands, problems and shifts in traffic. Increasing customer expectations and more complex service requirements will put even higher demands on operators to deliver outstanding performance. Network Operations would be the key driver for business strategy, focused on achieving better quality and a future ready network. This will see operators increasingly deploying AI and machine learning to automate the network as they manage complexities and optimize performance.
In fact, service providers emphasize the role of automation in supporting business outcomes and the overall strategic agenda. Eighty percent of service providers state that automation is the key for cost and customer experience agenda. Furthermore, 90% of operations functions describe AI as important in supporting the customer experience agenda.
Being Predictive rather than Being Reactive<\/strong>
Ericsson’s Network Intelligence solution enables networks to be predictive instead of being reactive. AI and Machine Learning (ML) driven applications work round the clock to provide the network stability needed for service continuity and an optimal end-to-end performance. If we look at the India arket, network automation will ensure real-time management of networks by improving coverage and user experience. Predictive technologies deployed in the networks will free up engineers from repetitive manual tasks, allowing them to focus on providing more value-added services and solutions.
Automation allows for the elimination of network failures through the predictive identification of potential anomalies, performance degradations and failures. This will improve customer experience through greater network resilience as well as reduced downtime.
AI and automation will also play an important role in managing customer perception. As a case in point, analytics related to the use of streaming services may uncover a market segment that needs increased throughput during commuting hours. Automation enables capacity to be directed to the identified segment during specific hours, improving customer experience.
New technologies will be the key in managing these levels of customer expectations as well as to leverage the greater opportunities enabled by 5G. With automation we can slash CAPEX costs by reducing operational expenditure and go-to market time of new services. According to Ericsson’s AI & Automation Report, 70% of global operators believe that the highest potential return from AI adoption will be in their network planning. The same report reveals that over 64% of global operators intend to focus their AI efforts on network performance management.
Automation is in its Prime Time!<\/b>
Today, service providers have realized that failing to address the increasing demands of networks may adversely affect the overall customer experience and increase costs. According to Ericsson’s research, 9 in 10 operators surveyed placed customer experience and growing revenues high on their agenda. Many operators are reporting efficiency improvements between 20% and 30% in areas where processes have been automated. AI related deployments in the network, therefore, are important to create a holistic approach towards achieving better network quality and business performance.
In fact, according to Ericsson’s Network Intelligence Report, leveraging AI\/ML tools in network operations can lead to reducing network performance issues by up to 60% and decreasing critical incident handling by up to 35%.
Today, telecom operators have already started to deploy AI-based applications to enhance customer service in order to provide a rich and seamless experience for both industrial partners and end consumers. Moving forward, it will be essential for telecom service providers to speed up the adoption of AI, automation and machine learning. Not only will this help service providers to operate in a resilient and secure manner but also take the mobile network to a new level of innovation for the benefit of industry and society.
(The author is Head of Network Operations for South East Asia, Oceania & India at Ericsson)<\/em><\/strong><\/i>
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2025年,5克网络将携带近一半的全球移动数据流量,按吗爱立信流动性报告。事实上,按照相同的报告,全球移动数据流量在2025年预计将达到每月160艾字节,从38 eb每月在2019年底。司机将包括智能手机迅速扩散,采用消费者身临其境的AR / VR等服务,连接设备的数量上升,增加高清视频消费奥特的崛起和流媒体服务。
根据人工智能和自动化爱立信最近的一份报告(通过人工智能和自动化增压客户体验),近75%的企业决策者找到数字化非常重要或关键业务的未来。根据相同的报告,预计在五年内,全球20%的手机用户将在5 g网络和物联网(物联网)将蓬勃发展,有220亿多个物联网连接。4.0行业预计也将得以实现。
高级用例,由5 g和物联网,变得司空见惯,遗产网络需要发展能够实时反应增加的要求,问题和交通的变化。增加客户期望和更复杂的服务需求将更高要求运营商提供出色的性能。网络运营业务战略的关键驱动因素,专注于实现更好的质量和未来网络做好了准备。这将运营商越来越部署人工智能和机器学习自动化网络管理的复杂性和优化性能。
事实上,服务提供商强调自动化支持业务成果的作用和总体战略议程。百分之八十的服务提供者,自动化是成本和客户体验的关键议程。此外,90%的业务功能描述AI在支持客户体验作为重要议程。
被预测而不是被动的
爱立信的网络智能解决方案使得网络预测,而不是被动的。人工智能和机器学习(ML)驱动应用昼夜不停地工作,提供所需的网络稳定服务连续性和最优的端到端性能。如果我们看一下印度市场、网络自动化将确保实时管理的网络通过改善覆盖和用户体验。预测技术部署在网络将免费从重复性的手工任务,工程师,让他们能够把精力集中在提供更多的增值服务和解决方案。
自动化可以消除网络故障的预测识别潜在的异常,性能退化和失败。这将改善客户体验通过更大的网络弹性以及减少停机时间。
人工智能和自动化也将扮演一个重要的角色在管理客户感知。作为一个例子,分析相关的流媒体服务的使用可能会揭开一个细分市场,需要增加吞吐量在上下班时间。自动化能力针对所确定的部分在特定时间,改善客户体验。
新技术将在管理这些水平的关键客户的期望以及利用更多的机会通过5 g。通过自动化我们可以削减资本支出成本降低进入市场的运营支出和时间的新服务。根据爱立信的人工智能和自动化的报告,70%的全球运营商认为最高的人工智能应用的潜在收益将他们的网络规划。相同的报告显示,超过64%的全球运营商打算AI努力关注网络性能管理。
自动化的黄金时间!
今天,服务提供商已经意识到未能解决需求的增加可能会严重影响网络的整体客户体验,增加成本。根据爱立信的研究,调查9 10运营商客户体验和提高收入高放在他们的议程。许多运营商报告提高效率在20%和30%之间的地区过程自动化。人工智能相关的网络中部署,因此,重要的是创建一个全面的方法实现更好的网络质量和业务性能。
事实上,根据爱立信的网络情报报告,利用人工智能/毫升工具在网络操作会导致网络性能问题减少到60%,减少35%,紧急事件处理。
今天,电信运营商已经开始部署基于ai应用程序来提高客户服务以提供丰富的和工业合作伙伴和终端消费者的无缝体验。前进,这将是至关重要的,电信服务提供商加快采用人工智能,自动化和机器学习。这不仅可以帮助服务提供商运营在一个有弹性的和安全的方式还把移动网络到一个新的水平的创新产业和社会的利益。
网络运营主管(作者是东南亚、大洋洲和印度爱立信)
2025年,5克网络将携带近一半的全球移动数据流量,按吗爱立信流动性报告。事实上,按照相同的报告,全球移动数据流量在2025年预计将达到每月160艾字节,从38 eb每月在2019年底。司机将包括智能手机迅速扩散,采用消费者身临其境的AR / VR等服务,连接设备的数量上升,增加高清视频消费奥特的崛起和流媒体服务。
根据人工智能和自动化爱立信最近的一份报告(通过人工智能和自动化增压客户体验),近75%的企业决策者找到数字化非常重要或关键业务的未来。根据相同的报告,预计在五年内,全球20%的手机用户将在5 g网络和物联网(物联网)将蓬勃发展,有220亿多个物联网连接。4.0行业预计也将得以实现。
高级用例,由5 g和物联网,变得司空见惯,遗产网络需要发展能够实时反应增加的要求,问题和交通的变化。增加客户期望和更复杂的服务需求将更高要求运营商提供出色的性能。网络运营业务战略的关键驱动因素,专注于实现更好的质量和未来网络做好了准备。这将运营商越来越部署人工智能和机器学习自动化网络管理的复杂性和优化性能。
事实上,服务提供商强调自动化支持业务成果的作用和总体战略议程。百分之八十的服务提供者,自动化是成本和客户体验的关键议程。此外,90%的业务功能描述AI在支持客户体验作为重要议程。
被预测而不是被动的
爱立信的网络智能解决方案使得网络预测,而不是被动的。人工智能和机器学习(ML)驱动应用昼夜不停地工作,提供所需的网络稳定服务连续性和最优的端到端性能。如果我们看一下印度市场、网络自动化将确保实时管理的网络通过改善覆盖和用户体验。预测技术部署在网络将免费从重复性的手工任务,工程师,让他们能够把精力集中在提供更多的增值服务和解决方案。
自动化可以消除网络故障的预测识别潜在的异常,性能退化和失败。这将改善客户体验通过更大的网络弹性以及减少停机时间。
人工智能和自动化也将扮演一个重要的角色在管理客户感知。作为一个例子,分析相关的流媒体服务的使用可能会揭开一个细分市场,需要增加吞吐量在上下班时间。自动化能力针对所确定的部分在特定时间,改善客户体验。
新技术将在管理这些水平的关键客户的期望以及利用更多的机会通过5 g。通过自动化我们可以削减资本支出成本降低进入市场的运营支出和时间的新服务。根据爱立信的人工智能和自动化的报告,70%的全球运营商认为最高的人工智能应用的潜在收益将他们的网络规划。相同的报告显示,超过64%的全球运营商打算AI努力关注网络性能管理。
自动化的黄金时间!
今天,服务提供商已经意识到未能解决需求的增加可能会严重影响网络的整体客户体验,增加成本。根据爱立信的研究,调查9 10运营商客户体验和提高收入高放在他们的议程。许多运营商报告提高效率在20%和30%之间的地区过程自动化。人工智能相关的网络中部署,因此,重要的是创建一个全面的方法实现更好的网络质量和业务性能。
事实上,根据爱立信的网络情报报告,利用人工智能/毫升工具在网络操作会导致网络性能问题减少到60%,减少35%,紧急事件处理。
今天,电信运营商已经开始部署基于ai应用程序来提高客户服务以提供丰富的和工业合作伙伴和终端消费者的无缝体验。前进,这将是至关重要的,电信服务提供商加快采用人工智能,自动化和机器学习。这不仅可以帮助服务提供商运营在一个有弹性的和安全的方式还把移动网络到一个新的水平的创新产业和社会的利益。
网络运营主管(作者是东南亚、大洋洲和印度爱立信)
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