AI adoption is on the rise as organizations seek to address skills shortages, automating processes:
Global AI adoption a market research by IBM. Research claims to emphasize that WHO growth is poised to accelerate as it continues to grow, becoming more accessible and easier to implement.
More data points from “Global” Applying AI The 2022 Index,” conducted by Morning Consult on behalf of IBM, reveals that this growth is due to companies realizing the value of AI as they emerge from the challenges of the COVID-19 pandemic and investment. invest in their digital transformation, while addressing talent and skills shortages. In fact, research shows AI adoption has increased by 4 percentage points compared to 2021.
The report also polled companies about their plans to use AI in their sustainability initiatives and found that AI is poised to play an important role. 66% of IT professionals surveyed said their company is currently adopting AI or planning to adopt AI to accelerate ESG initiatives.
Here are the key highlights from the report:
* Global AI adoption is growing steadily, and most companies already use or plan to use AI: Today, 35% of companies say they’ve used AI in their business . Compared to 2021, organizations are 13% more likely to adopt AI in 2022. Additionally, 42% of companies report that they are exploring AI. Large companies are more likely to use AI than smaller companies. Chinese and Indian companies are leading the way, with nearly 60% of IT professionals in these countries saying their organizations are already actively using AI, compared with lagging markets like South Korea (22%) ), Australia (24%) USA (25%) and United Kingdom (26%). IT professionals in the financial services, media, energy, automotive, oil, and aerospace industries are more likely to report that their company has actively implemented AI, while organizations positions in industries including retail, tourism and government/federal services, and healthcare are least likely.
* Clear data establishment and AI strategy are key to horizontal deployment: A key explanation for gradual AI adoption is the need to implement a successful data management and AI adoption strategy data to achieve business goals. Companies that have not yet implemented AI are three times more likely to say they have little or no confidence that their company has the right data management tools in place. Today, 37% of companies are developing an AI strategy, 28% have an overall strategy, and 25% have a strategy focused only on limited or specific use cases.
* Automation is helping to address skills gaps, labor shortages: Aside from cost, lack of tools, or complexity of projects or data, the skills gap remains the biggest barrier to the application of AI. At the same time, AI is also helping organizations address skills shortages, for example by automating tasks for skilled workers so they can be more productive, or by using AI-powered or employee-involved learning methods. Nearly a quarter of companies are adopting AI because of a labor or skill shortage, and 30% of global IT professionals say employees at their organization have saved time with AI and automation software/tools new.
* Increasing emphasis on trust – but with little concrete action: Establishing trustworthy, responsible AI practices and AI maturity go hand in hand: The more a company has ability to deploy AI, the more they appreciate the importance of trustworthiness. IT professionals at enterprises currently implementing AI are 17% more likely to report that their businesses value the explainability of AI than those that simply explore AI. But while a growing majority of business leaders say trustworthy AI is crucial, the majority of organizations have failed to take significant steps to ensure their AI is trustworthy and viable. accountability, such as reducing bias (74%), tracking performance variations/model deviations (68%) and making sure they can explain AI-powered decisions (61%) ).
* Building more sustainable practices: AI is poised to play an increasing role in sustainability initiatives by organizations worldwide as more than two-thirds of businesses use or plan to use it. use AI today as part of their sustainability initiatives. 1/5 of companies have been applying AI because of environmental pressure.
* Common use cases like automation, security drive adoption: Organizations are adopting AI in many use cases today, with the most advanced adoption happening across sectors such as IT operations, security and threat detection, and business process automation. Today, one-third of companies are already using AI for IT Operations (AIOps) to automate key processes, helping them maintain application performance while helping to allocate resources more efficiently. A third of companies implementing AI are applying such as natural language processing to areas like marketing, sales, and customer care.