Digital and new age technologies have also presented a plethora of opportunities for telecom companies to rebuild their market positions, and re-engineer their existing business processes and products to delight customers. Adopting newer technologies can create strong competitive advantage for telecom companies, while improving customer engagement.<\/p>
With increasing unpredictability in the market, magnitude of the competition and ever-changing customer expectations, organizations need to renovate, innovate and evolve much faster than the market to stay relevant. Several leading industry influencers, analysts and futurists have reaffirmed that AI can help an organization endure the storm of changes in the ecosystem.<\/p>
Just as electricity transformed almost everything 100 years ago, today we have a hard time thinking of an industry that we don\u2019t think AI will transform in the next several years.<\/p>
Powering the Experience Economy with AI<\/strong><\/p> Demand for personalized customer experiences across different industries is fueling the AI boom. McKinsey projects that telecom, high tech, and financial services are the leading early adopters of machine learning and AI to gain competitive and internal process efficiencies.<\/p> Forward-thinking telecom companies are increasingly plugging in conversational artificial intelligence in their strategic investment roadmaps to leverage it for customer service functions. Regardless of wherever you fall in the AI spectrum, the fact that speaks volumes is that we\u2019re foraying into a key transformative cycle across most industries.<\/p> Artificial intelligence is poised to unleash the next wave of disruption in telecom. The advent of artificial intelligence, sharing economies, advanced automation and modern currencies are likely to disrupt the face of the telecom business landscape.<\/p> The next few years are expected to be the golden age of the consumer, who\u2019d have more control and choices than ever before. This continued evolution in consumer demand, coupled with proliferated smartphone usage, will continue to drive fundamental changes in the way consumers react to services and have taken the consumer-brand collaboration to the whole new level.<\/p> <\/strong>Artificial Intelligence (AI) & The Telecom Industry<\/strong><\/p> The telecom industry is increasingly adopting AI, primarily triggered by the enterprise requirements to drive viable efficiencies and consumer demand for contextualization. It helps telecom operators in assessing the offer conversion rates and content usage trends. AI also plays a critical role in subscriber profiling that helps in extending custom offers to subscribers based on their specific needs, at the right time.<\/p> AI can help incredibly in the support department of telecom companies by detecting the problem and take actions autonomously within the policy framework. It can also predict system failure and prompt the remedial actions to combat the situation. With 5G network, high-density urban deployments would be needed, which will generate many patterns that would not be possible for humans to manage, but which AI can.<\/p> Why does Telecom need AI now?<\/strong><\/p> Disruptive technologies such as IoT have created a number of endpoints for the telecom operators. The Advent of 5G is likely to lead to high-density urban deployments, which would create multitudes of patterns that\u2019d be practically impossible for humans to manage but a task made easy by self-learning AI.<\/p> AI is likely to impact the telecom industry across a wide range of areas such as:<\/p> Betting on AI to lead the expectations game in telecom customer support<\/strong><\/p> AI can deliver a certain level of responsiveness that isn\u2019t humanly possible. A Forrester reporton Customer Service Trends<\/a>discusses the concept of pre-emptive customer service. The telecom sector companies have now started to tap the power of intelligent virtual agents to supplement their static self-service content with conversational interfaces. Proactive support, self-service, call deflections are now standard. This proactive customer experience offers telecom companies with a competitive advantage in the form of increased productivity and efficiency gains and will solve most of the issues related to customer care, network coverage, billing, service\/product offering and many more. Personalization of service and care would witness a new benchmark. Integration of omni-channels and knowledge sources helps a great deal in this transformation. It\u2019s a win-win situation for telecom companies and customers, alike.<\/p> A<\/strong>I to play a key role in automating the telecom networks<\/strong><\/p> IDC<\/a>has predicted that 31.5% of the telecommunication organizations are mainly focusing to utilize current infrastructure and 63.5% are making new technology investments for AI systems. The Counterpoint<\/a>Research indicates that the AI application in mobile networks covers three applications \u2013 Self Optimizing Networks (SONs), Software Defined Networks (SDN), Network Function Virtualization (NFV) and enablement of neural networks. SONs are likely to be the first to arrive and these would enable the operators to automatically optimize the network quality that\u2019s based on traffic information by region and time zone, powered by different machine learning algorithms.<\/p> Conclusion<\/strong><\/p> The telecom industry, by virtue of its scale and continued growth, is a perfect playfield for highly sophisticated Artificial Intelligence (AI) and automation technologies. Leveraging this disruptive technology, telecom companies can dramatically cut down their operating costs, while improving their quality and speed of services and resultant customer experience. Machines have already started reading the network content that determines how to route the network traffic. The next frontier would be self-optimizing networks that are based on the existing conditions, pre-set goals and limits. However, we are just at the beginning. The telecom industry is poised to see even bigger changes, driven by AI, with the ultimate goal of delighting the customers.<\/p>","blog_img":"","featured":0,"status":"Y","seo_title":"Ways in which telecom companies drive competitive advantage using AI","seo_url":"ways-in-which-telecom-companies-drive-competitive-advantage-using-ai","cms_link":"ways-in-which-telecom-companies-drive-competitive-advantage-using-ai\/2797","updated_at":"2018-01-05 14:59:38","time":"2018-01-05 14:59:38","authors":[{"author_name":"Nishikant Nigam","author_description":"EVP & Chief Delivery Officer, CSS Corp","author_designation":"EVP & Chief Delivery Officer","author_company":"CSS Corp","profile_pic":"retail_files\/author_1515144022_temp.jpg"}],"tags":["Artificial Intelligence","AI","Telecom","Industry"],"url_seo":"ways-in-which-telecom-companies-drive-competitive-advantage-using-ai"}">
数字化改变了这个行业的竞争边界与语音和消息传递企业经历由于疯狂的恶性循环使用社会媒体渠道作为沟通的媒介。 数字和新时代技术也提出了大量的电信公司的机会重建他们的市场地位,和重新设计现有的业务流程和产品以取悦客户。采用新的技术可以为电信公司创建强大的竞争优势,同时提高客户互动。 随着市场的不可预见性,级的竞争和不断变化的客户期望,组织需要翻修,创新和发展速度远远超过市场保持相关。几个主导产业影响力、分析师和未来学家重申人工智能可以帮助一个组织忍受暴风雨的生态系统的变化。 正如电力转换几乎所有的100年前,今天我们很难想到一个行业,我们不认为人工智能将改变在未来几年。 推动人工智能的体验经济 个性化的客户体验需求在不同的产业促进AI的繁荣。麦肯锡项目电信、高科技和金融服务是机器学习和人工智能的主要早期采用者获得竞争和内部流程效率。 有远见的电信公司正越来越多地插入对话人工智能在他们的战略投资路线图利用客户服务功能。不管无论你艾谱下降,这一事实充分说明是我们尝试到各种行业的一个关键变革周期。 人工智能将在电信发动下一波的干扰。人工智能的出现,分享经济、先进的自动化和现代货币可能会破坏的电信业务格局。 预计未来几年将消费者的黄金时代,谁会比以往更多的控制和选择。这在消费需求持续进化,再加上智能手机使用数量激增,将继续推动消费者对服务方式的根本性的变化,已经与品牌合作的全新的水平。 人工智能(AI)和电信行业 电信行业正越来越多地采用人工智能,主要由企业需求驱动的效率和消费者对语境化的需求。它有助于电信运营商在评估提供转化率和内容使用趋势。AI用户分析中发挥了至关重要的作用,有助于扩展定制提供用户根据他们的具体需求,在正确的时间。 人工智能可以帮助难以置信的支持部门,电信公司通过检测这个问题并采取行动的政策框架内自主。它还可以预测系统故障和提示补救措施来应对这种情况。5 g的网络,高密度的城市需要部署,这将产生许多模式,不可能对人类来管理,但AI。 为什么电信需要AI现在? 颠覆性技术,如物联网已经创建了一个电信运营商端点的数量。5克的出现可能会导致高密度城市部署,这将创建众多人类管理模式,就几乎不可能,但自学AI的任务很容易。 人工智能可能影响电信行业在广泛领域的如: 押注AI领导的期望在电信客户支持 AI可以提供一定程度的反应,人类不可能取得的。Forrester报告在客户服务的趋势讨论了先发制人的客户服务的概念。电信行业公司已经开始利用智能虚拟代理补充的力量与会话接口的静态自助服务内容。积极支持、自助服务、叫变位现在标准。这个积极的客户体验提供了电信公司的竞争优势提高生产力和效率收益的形式,将解决大部分的问题相关的客户服务,网络覆盖、计费、服务/产品和许多更多。个性化的服务和关怀将见证一个新的基准。omni-channels集成和知识来源有助于在这个转换。这是一个电信公司和客户双赢的局面,都是如此。 一个我扮演一个重要角色在自动化电信网络 国际数据公司(IDC)预测,31.5%的电信组织主要集中利用现有基础设施和63.5%是人工智能系统的新技术投资。的对位法研究表明,人工智能应用程序在移动网络覆盖三个应用程序——自我优化网络(儿子),软件定义网络(SDN),网络功能虚拟化(NFV)和神经网络的支持。儿子很可能是第一个到,这些将使运营商能够自动优化网络质量,基于交通信息的地区和时区,由不同的机器学习算法。 结论 电信行业,由于其规模和持续增长,是一个完美的球场为高度复杂的人工智能(AI)和自动化技术。利用这种颠覆性技术,电信公司可以大大降低运营成本,同时提高他们的服务和合成客户体验的质量和速度。机器已经开始阅读网络内容决定了路由网络流量。的下一个前沿将自优化网络,基于现有的条件下,预设目标和限制。然而,我们只是开始。电信行业将看到更大的变化,由AI,取悦客户的最终目标。
电信公司的方式使用人工智能驱动的竞争优势