Over half of organizations are currently experimenting with generative AI

Over half of organizations are currently experimenting with generative AI

A poll of ‌more than‌ 1,400⁢ executive leaders revealed ‍a threefold increase in organizations ⁣piloting generative ​AI (genAI)⁣ and more than a doubling of those who​ have⁣ placed the tech into production.

The new Gartner Research survey revealed that 45%​ of organizations are running ‍genAI⁤ pilots, and another 10% have put⁤ genAI solutions into production —‍ a significant increase⁣ from an⁢ earlier poll⁤ conducted in March and ‌April ⁤2023, in which only 15% ‌of respondents were piloting‌ generative AI and ⁢4% were in production.

“Organizations are not just talking about generative AI, they’re investing time, money and resources ​to move it forward and drive business outcomes,” said ⁤Frances Karamouzis, ‍a‍ distinguished vice president⁤ analyst at Gartner.

The poll‌ showed that 55% of organizations have increased investment in generative AI since it surged into the‍ public domain ten months ago with the launch of ChatGPT to the public.

“Generative AI is now on CEOs’ and boards’ agendas as they seek to take advantage of the transformative potential of this technology,”​ Karamouzis said.

Gartner

Forty-five ⁢percent of those surveyed ​said they are scaling genAI⁤ investments across multiple​ business functions, and⁤ nearly⁣ half‌ of⁢ those (22%) are deploying the tech‌ across multiple functions. Software⁤ development, marketing, and customer service (chatbots) are⁢ the areas seeing the highest rate of genAI adoption or investment.

Additionally, 78% of respondents believe that the benefits‌ of generative ⁣AI outweigh its risks, up ⁤from 68% in the earlier poll.

Generative AI’s role‌ in software ⁣development

Gartner predicts that more than half of software engineering leader roles​ will require that they oversee‌ genAI development by 2025.

That prediction dovetails with findings from the ⁢2023 Accelerate State ⁢of DevOps Report just released by Google Cloud’s DevOps Research and Assessment‌ (DORA) team. ⁣DORA‍ polled ⁤nearly​ 3,000 technology professionals in a variety of industries worldwide, a majority of whom ‌are incorporating at least some AI into the tasks included in ‌the survey.

Between 20% and 40% of respondents said ⁤that AI is‌ “extremely important” in contributing to a wide variety of tasks today, including analyzing data, analyzing security, writing code clocks or data functions, analyzing and monitoring ‌logs, and‌ identifying bugs.

“There is a lot of enthusiasm ‌about the potential of AI development tools. In fact, a‌ majority of respondents are incorporating at least​ some AI into the tasks we included in our survey,” Derek DeBellis, DORA research lead,​ wrote in the‍ report.

“And ⁤while [AI] ⁣ is the center of so many contemporary technical conversations, the impact of AI development tools on teams is still⁢ in its infancy,” he said. “We anticipate that⁣ it will take some time for ​AI-powered tools to come into widespread and coordinated use in the industry.”

Google

The Google Cloud survey was sponsored by Digital.ai, a vendor of…

2023-10-09 ⁢10:24:03
Source from www.computerworld.com

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