Bengaluru: Only 12% of organisations that use artificial intelligence (AI<\/a>) are doing it at a maturity level to achieve a strong competitive advantage while the rest are still experimenting with the technology, a new report said on Tuesday. 注:只有12%的组织使用人工智能(人工智能)是做在一个成熟度级别来实现一个强大的竞争优势,同时其他技术,仍在尝试一份新的报告周二表示。 Bengaluru: Only 12% of organisations that use artificial intelligence (AI<\/a>) are doing it at a maturity level to achieve a strong competitive advantage while the rest are still experimenting with the technology, a new report said on Tuesday.
The research from Accenture<\/a> puts the median AI maturity<\/a> of organisations at a moderate score of 36, revealing most companies have significant opportunities to generate greater value with AI.
Tech<\/a> firms globally already have a high AI maturity score of 54, which will rise moderately to 60 in 2024.
In contrast, carmakers and suppliers will leap from a moderate 39 today to 57 in two years -- betting on a significant surge in sales of AI-powered self-driving vehicles.
Similarly, retail<\/a> companies will evolve in their AI Maturity from 38 today to 54 in 2024.
The 12% of firms that are using AI to its maximum to outpace their competitors is dubbed \"AI Achievers<\/a>\", with a score of 64 on the maturity scale.
\"AI adoption<\/a> rapidly matured during the pandemic, yet to create more value with AI and use it to reinvent the enterprise, companies require a clear leadership vision combined with effective change management and human capital reinvention,\" said Piyush N Singh, India Business Lead at Accenture.
According to the research, AI maturity is the degree to which organisations outperform their peers in a combination of AI-related foundational and differentiating capabilities.
These capabilities include the technology (data, AI, cloud) as well as organisational strategy, Responsible AI, C-suite sponsorship, talent and culture.
\"To successfully scale the use of AI, the companies need to industrialise AI tools and teams and also nurture a culture of responsible AI design. But most importantly, they must invest in talent,\" said Prithvijit Roy, Managing Director, Applied Intelligence, Accenture in India.
Besides hiring for multidisciplinary AI-related skills, it is imperative to create data and AI fluency across the workforce through skilling and reskilling for a majority of employees.
The report showed that most companies (63%) are 'AI Experimenters', barely scratching the surface of AI's potential with an AI maturity score of 29.
\"We believe every part of every business must be transformed by technology, data and AI, in some cases resulting in total enterprise reinvention,\" said Sanjeev Vohra, global lead for Applied Intelligence at Accenture.
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的研究埃森哲咨询公司将中值AI成熟组织在一个温和的36分,大多数公司都有重要机遇与人工智能产生更大的价值。
科技公司在全球范围内已经有54 AI成熟度评分高,后者在2024年将适度上升到60。
相比之下,汽车制造商和供应商今天将从一个温和的39两年来57,赌一个重要AI-powered自动驾驶汽车的销量激增。
12%的公司使用AI最大值超过竞争对手是被称为“AI成就”,以64的高分成熟度量表。
”人工智能应用流感大流行期间迅速成熟,但与人工智能创造更多价值,用它来改造企业,公司需要一个明确的领导愿景结合有效的变更管理和人力资本改造,“总裁N辛格说,印度商业领导埃森哲。
根据研究,AI成熟组织的程度比同龄人在人工智能的基础和区分能力的结合。
这些功能包括技术(数据、人工智能、云)以及组织战略,负责任的AI,管理层赞助、人才和文化。
“成功使用AI的规模,企业需要工业化AI工具和团队也培养负责任的AI设计的一种文化。但最重要的是,他们必须投资于人才,“董事总经理Prithvijit罗伊表示,应用智能,埃森哲在印度。
除了招聘多学科人工智能技能,必须创建数据和AI流利劳动力通过斯基林和reskilling对于大多数员工。
报告显示,大多数公司(63%)是人工智能实验,仅仅表面艾未未的潜在的AI成熟度评分为29。
“我们相信每个业务的每一个部分必须由技术、转换数据和人工智能,在某些情况下导致总企业再造”(Sanjeev Vohra说,全球领先应用情报埃森哲。
The research from Accenture<\/a> puts the median AI maturity<\/a> of organisations at a moderate score of 36, revealing most companies have significant opportunities to generate greater value with AI.
Tech<\/a> firms globally already have a high AI maturity score of 54, which will rise moderately to 60 in 2024.
In contrast, carmakers and suppliers will leap from a moderate 39 today to 57 in two years -- betting on a significant surge in sales of AI-powered self-driving vehicles.
Similarly, retail<\/a> companies will evolve in their AI Maturity from 38 today to 54 in 2024.
The 12% of firms that are using AI to its maximum to outpace their competitors is dubbed \"AI Achievers<\/a>\", with a score of 64 on the maturity scale.
\"AI adoption<\/a> rapidly matured during the pandemic, yet to create more value with AI and use it to reinvent the enterprise, companies require a clear leadership vision combined with effective change management and human capital reinvention,\" said Piyush N Singh, India Business Lead at Accenture.
According to the research, AI maturity is the degree to which organisations outperform their peers in a combination of AI-related foundational and differentiating capabilities.
These capabilities include the technology (data, AI, cloud) as well as organisational strategy, Responsible AI, C-suite sponsorship, talent and culture.
\"To successfully scale the use of AI, the companies need to industrialise AI tools and teams and also nurture a culture of responsible AI design. But most importantly, they must invest in talent,\" said Prithvijit Roy, Managing Director, Applied Intelligence, Accenture in India.
Besides hiring for multidisciplinary AI-related skills, it is imperative to create data and AI fluency across the workforce through skilling and reskilling for a majority of employees.
The report showed that most companies (63%) are 'AI Experimenters', barely scratching the surface of AI's potential with an AI maturity score of 29.
\"We believe every part of every business must be transformed by technology, data and AI, in some cases resulting in total enterprise reinvention,\" said Sanjeev Vohra, global lead for Applied Intelligence at Accenture.
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