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Predictive technology Forrester nearly half of Asian managers surveyed found that they expect continued increases in the full-time remote workforce; many will try to use AI-enhanced staff engagement tools to try to increase workplace communication, reducing the new distance that this creates.
As part of the AI Global Agenda 2021 program, in conjunction with Cornerstone OnDemand, MIT Technology Review Insights has surveyed more than 1,500 decision makers and technology leaders on how AI is used to accelerate digital and global revenue growth. cooperation, and to increase human resource capabilities.
AI, from top to bottom
Globally, corporations are increasingly expanding AI tools and analytics to extract more productivity in manufacturing, help employees understand customer requirements more accurately, and support business results. Like many technology adoption strategies, it is traditionally seen as a basic tool for the digitally enabled approach; for example, it provides greater visibility across a supply chain to help manufacturers quickly identify places to reduce costs. Like many of the strategic pivots of the last 18 months, the impact of covid-19 has increased.
Allan Tate, executive president of the CIO Symposium at MIT Sloan School of Management, said that “Big Reset: a place where companies undergo a two-year digital transformation in two months.” While he admits, “Using AI right now to increase efficiency and reduce costs is probably the most common use. The use of AI-enabled data is fast becoming a key way for many corporations to earn revenue.”
This view is confirmed by a general survey of strategies conducted in AI firms: Nearly half of respondents indicate that they have expanded AI to accelerate revenue growth or accelerate efforts to do so. A quarter plan to increase the use of AI in higher-level initiatives, with only 12% indicating that it is a cost-cutting tool.
The view of respondents located in Asia largely echoes the global trend, but at the same time also reveals a region that is behind the curve and ready to jump on it. Asian respondents indicated that the use of AI for profit growth is lower than the average for AI, but it is much more likely that “high-level” AI initiatives will take place, and that more than a third plan to increase use.
Increasing the importance given to AI on the “top line” often helps customer-focused teams through a broader customer focus, which encourages business expansion. This, in turn, encourages efforts to build skills for marketing and business development professionals, such as increasing their workflows and being a catalyst for skills development. Asian respondents, on average, are slightly more aligned than the average in the expansion of the AI project in terms of revenue growth performance (see Figure 2).
Organizations that focus on AI’s “bottom line” initiatives — which fall into the categories of cost-effectiveness and resource optimization — are likely to increase automated functions and drive change in operations, which may lead to a redefinition of operations and internal team tasks.
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This content was created by Insights, a custom content from the MIT Technology Review. It was not written in the editorial board of the MIT Technology Review.
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