May 5, 2024

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Accelerating Enterprise AI Adoption |  By the numbers

Accelerating Enterprise AI Adoption | By the numbers

In 2022 and 2023, artificial intelligence (AI) is shown to be producing results. That points to a new survey by Omdia, which asked respondents if AI increased revenue, lowered bottom line costs, improved efficiency and automation, and improved customer experience and satisfaction. The responses were a stunning confirmation of the power of AI to transform businesses: at least 54% of respondents said they are currently measuring 1% or more positive results and at least 14% see 11% or more of results. positive, depending on the category.

“The effects of proven AI return on investment (ROI) in 2023 will be far-reaching, impacting everything from institutional investment and venture capital to corporate financial results, labor markets, strategic planning and innovation,” says Natalia Modjeska, Director of Research. in Amedia.

Interest in generative AI is growing

Omdia conducted the survey in February 2023, when interest in generative AI was rampant. AI ROI will likely be measured by 2023 before generative AI projects will have any impact. Increasing the ROI of AI has important implications:

Market adoption of AI at the enterprise level will accelerate. A proven AI ROI will push companies that haven’t started AI initiatives to get started, especially in jobs and industries with more proven use cases. Lagging industries and more sophisticated AI use cases will start to emerge. Companies with mature AI will extend the use of AI to other use cases and business functions.

Increase spending on artificial intelligence. With ROI in hand, senior management will be confident in expanding AI initiatives and increasing spending.

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Better corporate results. If companies continue to achieve revenue growth and reduce costs through artificial intelligence, this will have a positive impact on the company’s bottom line.

Extended innovation. AI ROI is likely to accelerate AI production innovation, more so in companies that have been working with AI for more than 1-2 years. Generative AI initiatives in particular will have more opportunities to prove themselves.