A new report by Bain & Company<\/a> finds that artificial intelligence<\/a> is no longer a fringe technology<\/a> in India<\/a>, with 80% of enterprises<\/a> surveyed having at least one AI model<\/a> in production. 这已经完成与微软合作,印度互联网和移动协会(IAMAI)。技术解决方案提供商采用人工智能的司机在印度有64%有AI /毫升作为他们的许多产品的核心元素,同全球同行的56%。然而,大多数组织仍采用人工智能的早期阶段,实现几个用例。 一个新的报告贝恩公司发现,人工智能不再是一个边缘技术在印度,80%的企业拥有至少一个调查人工智能模型在生产中。
The report, From Buzz to Reality: The Accelerating Pace of AI in India, will be launched on Tuesday and is based on a survey of nearly 150 providers and 350 enterprises.
This has been done in collaboration with Microsoft<\/a> and the Internet and Mobile Association of India<\/a> (IAMAI). Technology solution providers are the drivers of AI adoption in India with 64% having AI\/ ML as a core element for many of their products, as against 56% of their global counterparts. However, most organizations are still in the early stages of AI adoption, implementing just a few use cases.
Firms in India have seen a significant uptick in their interest in adopting AI to drive business outcomes. However, there is plenty of hype and hyperbole around what constitutes AI—companies are not shy about making AI claims around systems that are rules-based at best, the study found.
“While attribution of value to AI is challenging given the embedded nature of AI with the software, 85% of executives from early adopters feel it has driven substantial value. The level of value-added is consistently high, especially among the more mature organizations. For example, fintech players have been able to reduce fraudulent transactions by up to 40%, pharmaceutical manufacturing companies reduced reject rates by up to 20% and D2C companies have seen enhancement in conversion rates by 2 – 3% through personalization. Such organizations spend ~0.4%–0.7% of their revenues on AI\/ ML and realize an ROI of about 2–4x,” said Sudheer Narayan, Partner, Bain & Company and co-author of the report.
Key findings<\/strong>
The thrust in AI adoption for enterprises is maximum in sectors such as communication, over-the-top (OTT) and gaming (55%); technology (48%); and financial services (39%). More than 90% of the digital native companies in CPG & retail and financial services have demonstrated AI\/ML adoption.
Although India constitutes a small share (i.e., 1%) of the global market, it produces 16% of global AI talent, placing it among the top three contributors in the world. The talent equation in India in terms of quantity will only get better, but a clear distinction will emerge between the data engineers, data scientists, and product managers.
In the next three years, 49% of enterprises plan to increase the proportion of ‘build’, compared to 29% that plan to increase the proportion of ‘buy’. Providers, too, are inclined toward building their models using third-party support or open-source tools\/services.
Their reliance<\/a> on cloud platforms for pre-built models and packaged solutions is expected to decrease in the coming years (from 36% of the AI feature\/use cases in 2019 to a projected 29% in 2023).
87% of enterprises expect to increase annual AI spend by more than 10%
94% of AI researchers\/ adopters likely to increase the share of AI\/ML-based applications in upcoming 3 years
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AI不再边缘技术在印度,报告说
报告,从兴奋到现实:AI的步伐正在加快。在印度,将于周二和基于近150供应商的调查和350年企业。
这是合作完成的微软和印度的互联网和移动协会(IAMAI)。技术解决方案提供商采用人工智能的司机在印度有64%有AI /毫升作为他们的许多产品的核心元素,同全球同行的56%。然而,大多数组织仍采用人工智能的早期阶段,实现几个用例。
“虽然价值归因AI挑战考虑到嵌入式性质的人工智能软件,85%的早期采用者的高管感到它推动实质性的价值。增值水平一直很高,特别是在更成熟的组织。例如,fintech球员能够减少40%的欺诈性交易,医药制造企业拒绝利率降低到20%,转化率D2C公司增强通过个性化2 - 3%。这样的组织-0.7% ~ 0.4%的收入花在AI /毫升,实现一个ROI约为2,“Sudheer Narayan说,伙伴,贝恩公司和这份报告的作者之一。
重要发现
企业采用人工智能的推力最大通信等行业,言过其实的(OTT)和游戏(55%);技术(48%);和金融服务(39%)。超过90%的数字原生CPG公司&零售和金融服务采用了AI /毫升。
尽管印度是一小部分(即。全球市场的1%),这也造成了全球16%的人工智能人才,让其跻身世界排名前三的贡献者。印度的人才方程的数量只会变得更好,但一个明确的数据工程师,之间的区别将会出现数据科学家,和产品经理。
在接下来的三年里,49%的企业计划增加“构建”的比例,29%计划增加“购买”的比例。供应商也倾向于构建他们的模型使用第三方支持或开源工具/服务。
他们的依赖在云平台上的预构建模型和打包解决方案在未来几年预计将减少(从36%的AI功能/用例2019年预计2023年的29%)。
87%的企业预计增加年度AI花了10%以上
94%的人工智能研究人员/用户可能增加的份额AI / ML-based应用程序在即将到来的三年
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A new report by Bain & Company<\/a> finds that artificial intelligence<\/a> is no longer a fringe technology<\/a> in India<\/a>, with 80% of enterprises<\/a> surveyed having at least one AI model<\/a> in production.
The report, From Buzz to Reality: The Accelerating Pace of AI in India, will be launched on Tuesday and is based on a survey of nearly 150 providers and 350 enterprises.
This has been done in collaboration with Microsoft<\/a> and the Internet and Mobile Association of India<\/a> (IAMAI). Technology solution providers are the drivers of AI adoption in India with 64% having AI\/ ML as a core element for many of their products, as against 56% of their global counterparts. However, most organizations are still in the early stages of AI adoption, implementing just a few use cases.
Firms in India have seen a significant uptick in their interest in adopting AI to drive business outcomes. However, there is plenty of hype and hyperbole around what constitutes AI—companies are not shy about making AI claims around systems that are rules-based at best, the study found.
“While attribution of value to AI is challenging given the embedded nature of AI with the software, 85% of executives from early adopters feel it has driven substantial value. The level of value-added is consistently high, especially among the more mature organizations. For example, fintech players have been able to reduce fraudulent transactions by up to 40%, pharmaceutical manufacturing companies reduced reject rates by up to 20% and D2C companies have seen enhancement in conversion rates by 2 – 3% through personalization. Such organizations spend ~0.4%–0.7% of their revenues on AI\/ ML and realize an ROI of about 2–4x,” said Sudheer Narayan, Partner, Bain & Company and co-author of the report.
Key findings<\/strong>
The thrust in AI adoption for enterprises is maximum in sectors such as communication, over-the-top (OTT) and gaming (55%); technology (48%); and financial services (39%). More than 90% of the digital native companies in CPG & retail and financial services have demonstrated AI\/ML adoption.
Although India constitutes a small share (i.e., 1%) of the global market, it produces 16% of global AI talent, placing it among the top three contributors in the world. The talent equation in India in terms of quantity will only get better, but a clear distinction will emerge between the data engineers, data scientists, and product managers.
In the next three years, 49% of enterprises plan to increase the proportion of ‘build’, compared to 29% that plan to increase the proportion of ‘buy’. Providers, too, are inclined toward building their models using third-party support or open-source tools\/services.
Their reliance<\/a> on cloud platforms for pre-built models and packaged solutions is expected to decrease in the coming years (from 36% of the AI feature\/use cases in 2019 to a projected 29% in 2023).
87% of enterprises expect to increase annual AI spend by more than 10%
94% of AI researchers\/ adopters likely to increase the share of AI\/ML-based applications in upcoming 3 years
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