2022-05-19 | NYSE: IBM | Press release
ARMONK, NY, May 19, 2022 /CNW/ — New market research commissioned by IBM (NYSE: IBM) found that global AI adoption has grown steadily over the past year, reaching 35% of respondents by 2022, further emphasizing that the growth of AI is poised to accelerate as it continues to mature, becoming more accessible and easier to implement.
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Other data points from the “Global AI Adoption Index 2022”, conducted by Morning Consult on behalf of IBM, reveal that this growth is due to companies recognizing the value of AI as they exit challenges of the COVID-19 pandemic and were investing in their digital transformation, while addressing talent and skills shortages. In fact, the study shows that the adoption of AI has increased by 4 percentage points compared to 2021.
For the first time, the report also asked companies about their plans to use AI in their sustainability initiatives and found that AI is poised to play a significant role. 66% of IT professionals surveyed said their company is currently applying AI or planning to apply AI to accelerate ESG initiatives.
Highlights from the “Global AI Adoption Index 2022” include:
- The global adoption of AI continues to grow and most companies are already using or planning to use AI: Today, 35% of companies say they use AI in their business. Compared to 2021, organizations are 13% more likely to have adopted AI in 2022. Additionally, 42% of companies say they are exploring AI. Large companies are more likely than small companies to use AI. Chinese and Indian companies are leading the way, with nearly 60% of IT professionals in those countries saying their organization is already actively using AI, compared to lagging markets like South Korea (22%), Australia (24%), the United States (25%) and the United Kingdom (26%). IT professionals in financial services, media, energy, automotive, oil and aerospace industries are the most likely to say their company has actively deployed AI, while organizations in industries such as retail, travel, government/federal services, and healthcare are least likely.
- Defining clear data and AI strategies is essential for horizontal deployment: A major explanation for the gradual adoption of AI is the need to implement a successful data management strategy and apply AI to that data to achieve business goals. Companies that haven’t deployed AI are three times more likely to say they have little or no confidence that their company has the right data management tools. Today, 37% of companies are developing an AI strategy, 28% already have a holistic strategy in place, and 25% have a strategy that only focuses on limited or specific use cases.
- Automation helps fill skills gaps and labor shortages: More than cost, lack of tools, or project or data complexity, lack of skills remains the biggest barrier to AI adoption. At the same time, AI is also helping organizations address skills shortages, for example by automating the tasks of skilled workers so they can be more productive, or by using AI-assisted learning or employee engagement. Nearly 1 in 4 companies are adopting AI due to a labor or skills shortage, and 30% of IT professionals globally say their organization’s employees are already saving time thanks to new AI and automation software/tools.
- A growing focus on trust – but few concrete actions: Establishing trusted and responsible AI practices and AI maturity go hand in hand: the more likely a company is to have deployed AI, the more likely it is to value the importance of trustworthiness. IT pros in enterprises currently deploying AI are 17% more likely to say their organization appreciates the explainability of AI than those just exploring AI. But while a growing majority of business leaders say trustworthy AI is essential, a majority of organizations have failed to take key steps to ensure their AI is trustworthy and accountable, such as reducing bias (74%), tracking performance variations/model drift (68%). , and ensure they can explain AI-based decisions (61%)
- Building more sustainable operations: AI is poised to play a growing role in the sustainability initiatives of organizations around the world, as more than two-thirds of companies use or plan to use AI today as part of their initiatives of sustainable development. One in five companies are already adopting AI due to environmental pressures.
- Popular use cases such as automation, adopting security disks: Today, organizations are applying AI in a wide variety of use cases, with the most advanced adoption occurring in areas such as IT operations, security and threat detection, and process automation. job. Today, already a third of enterprises are already using AI for IT operations (AIOps) to automate key processes, helping them maintain application performance while making resource allocation more efficient. One-third of companies deploying AI include applying natural language processing to areas such as marketing, sales and customer service.
“More than a third of organizations surveyed in the IBM Global AI Adoption Index 2022 say they use AI today to respond to a myriad of different drivers and pressures,” said Tom Rosamilia, senior vice president, IBM Software. “They are turning to AI to help them address skills and labor shortages, respond to competitive pressures and, increasingly, respond to environmental pressures. Most respondents said that they were already using or planning to use AI as part of their sustainability initiatives. These trends all point to the growing role that AI is playing both within organizations but also in society.”
While investments in AI continue to grow, barriers to adoption remain, especially for smaller organizations that are far less likely to leverage AI. The survey determined that the top three barriers to AI adoption for businesses are: limited AI expertise or knowledge (34%), high prices (29%)., and the lack of tools and platforms to develop AI models (25%).
IBM is helping overcome these barriers and bring the benefits of AI to more people and organizations across industries with human-centric AI designed for business needs. IBM continuously leverages the latest AI innovations from IBM Research to deliver new enterprise-ready capabilities, automate technical and manual processes such as IT operations, and develop new ways to operationalize and to guarantee respect for the ethics of AI. Additionally, IBM Consulting brings deep technology, industry and process design expertise to co-create solutions with clients that embed AI into core business processes and create intelligent workflows at scale. .
Download the full report here.
This survey was conducted from March 30-April 12, 2022from a sample of 7,502 experienced business decision makers with some knowledge/influence over their company’s IT decisions, including 500 respondents in the US, UK, France, Germany, Spain, Italy, China, India, Singapore, Australia, CanadaUnited Arab Emirates and South Koreaand 1000 respondents across the Latin America Region (Brazil, Mexico, Colombia, Argentina, Chile, Peru). The interviews were conducted online and the margin of error for the full sample in each country is +/- 4 percentage points, and the margin of error for Latin America region is +/- 3 percentage points with a 95% confidence level. See full methodology details at the end of the summary.
About IBM Watson
Watson is IBM’s artificial intelligence technology for business, helping organizations better predict and shape future outcomes, automate complex processes and optimize employee time. Watson has grown from an IBM research project to an experiment, to a set of open, scaled products that run anywhere. With more than 40,000 customer engagements, Watson is applied by leading global brands in a variety of industries to transform the way people work. To learn more, visit: https://www.ibm.com/watson
IBM Media Relations
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