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电信公司在人工智能和大数据利益上存在分歧
然而，Bharti Airtel和Vodafone Idea在提交的文件中表示，现在预测人工智能和BD是否能提高内部效率并优化电信网络还为时过早，因为这两种技术都处于起步阶段。
加尔各答:印度第一电信公司又有意见分歧了——这次是关于是否部署新时代人工智能(AI)和大数据BD技术可以提高电信服务质量(QoS)、流量和频谱管理的整体质量。
在提交给印度电信监管局(火车),依赖Jio他表示，在电信行业，部署人工智能来改善网络性能、整体QoS、频谱管理、安全和客户服务有巨大的机会。
在他们提交的材料中，Bharti Airtel而且沃达丰的想法然而，Vi表示，现在预测AI和BD是否能提高内部效率并导致电信网络优化还为时过早，因为这两种技术都处于起步阶段。
对于在电信领域利用新时代技术之前，需要创建通用的人工智能术语标准，运营商也采取了相互矛盾的立场行业．
“具有先进分析功能的人工智能已经在全球范围内发挥了重要作用，减少了VoLTE用户的网络资本支出和糟糕的QoE(体验质量);它还可以在影响客户之前预测硬件故障，它的采用提高了网络可靠性和客户体验，甚至优化了运营成本。”Jio在意见书中说。
附近的旅馆不过，该公司表示，虽然它使用人工智能工具进行网络规划，以发现农村地区的新站点开发和卫星图像分析，但现在就断定人工智能或BD是否可以为电信公司解决问题或优化情况还为时过早。
“系统在一段时间内不断进化，然后稳定下来，只有到那时，人们才能把它们视为标准的操作程序，但在人工智能和BD技术方面，我们离这还很远，因为它们仍处于起步阶段。”附近的旅馆这一观点得到了Vi的支持。
另外，Jio敦促Trai支持由非法定的专家多方利益相关者机构(MSB)制定统一、负责任和值得信赖的人工智能术语/定义。该公司认为，这样的监管方式将为负责任的人工智能环境铺平道路，从而在印度用户之间建立信任。
Airtel和Vi拒绝了这一建议，称任何此类监管干预只会扼杀该国的IT能力和创新人工智能技术的发展。
Jio说:“需要平衡人工智能的道德考虑与创新需求，这可以通过由具有不同代表性的非法定专家MSB开发的原则驱动的负责任的人工智能环境的演变来实现。”
它补充说，负责任和统一的人工智能标准必须围绕安全、可靠性、健壮性、非歧视、平等、包容、隐私、安全透明度和可解释性等原则建立。
Airtel反驳说，Trai的重点必须是如何在电信行业利用人工智能，而不是定义它们并限制它们的范围。这家苏尼尔·米塔尔(Sunil mittal)领导的电信公司在提交给Trai的文件中表示:“考虑到印度人工智能发展的初级阶段，完全没有必要将人工智能术语标准化，因为这不会带来任何有益的产出。”
它补充说，It能力和技术在没有监管干预的情况下发挥得最好。
Vi支持Airtel的观点，他说任何标准化都必须有一个明确的目标/结果，目前还没有要求。“一旦(人工智能)市场足够发达，(Trai)可以在稍后阶段对这一要求进行任何审查。”
对于5G技术是否有助于加速人工智能在印度的应用，该国的几家顶级运营商也存在分歧。
Jio认为，人工智能和5G将协同工作。该公司表示，5G将通过连接大量设备来推动物联网服务的发展，而这些相互连接的设备反过来将产生大量数据，用于训练和建模人工智能。
相比之下，Airtel和Vi表示，在确定组织和个人用户可能如何利用下一代无线宽带技术之前，很难预测5G是否会提高人工智能的采用水平，尤其是企业如何利用它来创建新的用例。
在提交给印度电信监管局(火车),依赖Jio他表示，在电信行业，部署人工智能来改善网络性能、整体QoS、频谱管理、安全和客户服务有巨大的机会。
在他们提交的材料中，Bharti Airtel而且沃达丰的想法然而，Vi表示，现在预测AI和BD是否能提高内部效率并导致电信网络优化还为时过早，因为这两种技术都处于起步阶段。
“具有先进分析功能的人工智能已经在全球范围内发挥了重要作用，减少了VoLTE用户的网络资本支出和糟糕的QoE(体验质量);它还可以在影响客户之前预测硬件故障，它的采用提高了网络可靠性和客户体验，甚至优化了运营成本。”Jio在意见书中说。
附近的旅馆不过，该公司表示，虽然它使用人工智能工具进行网络规划，以发现农村地区的新站点开发和卫星图像分析，但现在就断定人工智能或BD是否可以为电信公司解决问题或优化情况还为时过早。
“系统在一段时间内不断进化，然后稳定下来，只有到那时，人们才能把它们视为标准的操作程序，但在人工智能和BD技术方面，我们离这还很远，因为它们仍处于起步阶段。”附近的旅馆这一观点得到了Vi的支持。
另外，Jio敦促Trai支持由非法定的专家多方利益相关者机构(MSB)制定统一、负责任和值得信赖的人工智能术语/定义。该公司认为，这样的监管方式将为负责任的人工智能环境铺平道路，从而在印度用户之间建立信任。
Jio说:“需要平衡人工智能的道德考虑与创新需求，这可以通过由具有不同代表性的非法定专家MSB开发的原则驱动的负责任的人工智能环境的演变来实现。”
它补充说，负责任和统一的人工智能标准必须围绕安全、可靠性、健壮性、非歧视、平等、包容、隐私、安全透明度和可解释性等原则建立。
Airtel反驳说，Trai的重点必须是如何在电信行业利用人工智能，而不是定义它们并限制它们的范围。这家苏尼尔·米塔尔(Sunil mittal)领导的电信公司在提交给Trai的文件中表示:“考虑到印度人工智能发展的初级阶段，完全没有必要将人工智能术语标准化，因为这不会带来任何有益的产出。”
它补充说，It能力和技术在没有监管干预的情况下发挥得最好。
Jio和Airtel在10月获得了沃达丰Idea的潜艇:火车
沃达丰的想法(Vi)在10月份失去了350万移动用户，用户基础进一步萎缩至2.4562亿。相比之下，印度电信监管局(Trai)整理的最新用户数据显示，Jio和Airtel的用户基础分别膨胀至4.2138亿和3.6502亿。
Vi支持Airtel的观点，他说任何标准化都必须有一个明确的目标/结果，目前还没有要求。“一旦(人工智能)市场足够发达，(Trai)可以在稍后阶段对这一要求进行任何审查。”
对于5G技术是否有助于加速人工智能在印度的应用，该国的几家顶级运营商也存在分歧。
Jio认为，人工智能和5G将协同工作。该公司表示，5G将通过连接大量设备来推动物联网服务的发展，而这些相互连接的设备反过来将产生大量数据，用于训练和建模人工智能。
相比之下，Airtel和Vi表示，在确定组织和个人用户可能如何利用下一代无线宽带技术之前，很难预测5G是否会提高人工智能的采用水平，尤其是企业如何利用它来创建新的用例。
KOLKATA: India\u2019s top telcos<\/a> have divergent views again\u2014this time over whether deployment of new age artificial intelligence<\/a> (AI) and big data<\/a> (BD) technologies can improve the overall quality of telecom services (QoS), traffic and spectrum management.
In its submission to the Telecom Regulatory Authority of India<\/a> (Trai), Reliance Jio<\/a> has said there are vast opportunities for deploying AI to improve network performance, overall QoS, spectrum management, security and customer services in the telecom sector.
In their submissions, Bharti Airtel<\/a> and Vodafone Idea<\/a> (Vi), though, said it\u2019s too early to even predict if AI and BD can drive internal efficiency and lead to optimisation of telco networks as both technologies remain at a nascent stage.
In its submission to the Telecom Regulatory Authority of India<\/a> (Trai), Reliance Jio<\/a> has said there are vast opportunities for deploying AI to improve network performance, overall QoS, spectrum management, security and customer services in the telecom sector.
In their submissions, Bharti Airtel<\/a> and Vodafone Idea<\/a> (Vi), though, said it\u2019s too early to even predict if AI and BD can drive internal efficiency and lead to optimisation of telco networks as both technologies remain at a nascent stage.
<\/div><\/div>Operators have also taken conflicting positions on the need to create common AI terminology standards before leveraging the new age technology in the telecom industry<\/a>.
\u201cAI with advanced analytics already plays a significant role globally in reducing network capex and the poor QoE (quality of experience) for VoLTE subscribers; it also predicts hardware failures prior to customer impact and its adoption has improved network reliability and customer experience, even optimised cost of operations,\u201d Jio<\/a> said in its submission.
Airtel<\/a>, though, said that while it uses AI tools for network planning to discover rural locations for new site development and analysis of satellite images, it\u2019s too early to conclude if AI or BD can solve problems or optimise situations for telcos.
\u201cSystems evolve over a period of time and then stabilise, and only then can one think of them as standard operating procedure, but we are still very far off from that when it comes to AI and BD technologies that are still so nascent,\u201d Airtel<\/a> said in its submission, a view backed by Vi.
Separately, Jio has urged Trai to back the development of uniform, responsible and trustworthy AI terms\/definitions by a non-statutory, expert multi-stakeholder body (MSB). It believes such a regulatory approach will pave the way for a responsible AI environment that will instil trust among users in India.
\u201cAI with advanced analytics already plays a significant role globally in reducing network capex and the poor QoE (quality of experience) for VoLTE subscribers; it also predicts hardware failures prior to customer impact and its adoption has improved network reliability and customer experience, even optimised cost of operations,\u201d Jio<\/a> said in its submission.
Airtel<\/a>, though, said that while it uses AI tools for network planning to discover rural locations for new site development and analysis of satellite images, it\u2019s too early to conclude if AI or BD can solve problems or optimise situations for telcos.
\u201cSystems evolve over a period of time and then stabilise, and only then can one think of them as standard operating procedure, but we are still very far off from that when it comes to AI and BD technologies that are still so nascent,\u201d Airtel<\/a> said in its submission, a view backed by Vi.
Separately, Jio has urged Trai to back the development of uniform, responsible and trustworthy AI terms\/definitions by a non-statutory, expert multi-stakeholder body (MSB). It believes such a regulatory approach will pave the way for a responsible AI environment that will instil trust among users in India.
<\/div><\/div>Airtel and Vi rejected the suggestion, saying any such regulatory intervention would only stifle the country\u2019s IT capabilities and development of innovative AI technologies.
![\"Telcos](\"https:\/\/st.etb2bimg.com\/Themes\/Release\/images\/responsive\/ettelecom-default.jpg\")
<\/figure>
\u201cThere\u2019s a need to balance ethical considerations of AI with need for innovation, which can be achieved through evolution of a responsible AI environment driven by principles that should be developed by a non-statutory expert MSB having varied representation,\u201d Jio said.
It added that responsible and uniform AI standards must be built around the principles of safety, reliability, robustness, non-discrimination, equality, inclusivity, privacy, security transparency and explainability.
Airtel countered, saying Trai\u2019s focus must be on ways to leverage AI in the telecom sector rather than defining them and limiting their scope. \u201cThere is absolutely no need to standardise AI terminologies as it won\u2019t lead to any beneficial output, given the nascent stage of AI development in India,\u201d the Sunil Mittal-led telco said in its submission to Trai.
It added that IT capabilities and technologies work best in absence of regulatory intervention.
<\/figure>\u201cThere\u2019s a need to balance ethical considerations of AI with need for innovation, which can be achieved through evolution of a responsible AI environment driven by principles that should be developed by a non-statutory expert MSB having varied representation,\u201d Jio said.
It added that responsible and uniform AI standards must be built around the principles of safety, reliability, robustness, non-discrimination, equality, inclusivity, privacy, security transparency and explainability.
Airtel countered, saying Trai\u2019s focus must be on ways to leverage AI in the telecom sector rather than defining them and limiting their scope. \u201cThere is absolutely no need to standardise AI terminologies as it won\u2019t lead to any beneficial output, given the nascent stage of AI development in India,\u201d the Sunil Mittal-led telco said in its submission to Trai.
It added that IT capabilities and technologies work best in absence of regulatory intervention.