Generative AI has become much more than what it was two years ago and is now an important part of many enterprises and businesses. Writer collaborated with Dimensional Research to conduct a survey amongst business enterprises to find out what business leaders think of adoption of AI and what they think of its impact. The survey was done among 501 respondents from five continents who are all related to AI fields in their jobs. The companies these employees belonged to were enterprise organizations having 1000 to 10,000 employees. 65% of the employees surveyed were from IT operations in tech industries.
The results of the survey found that 96% of the companies think that AI is a key enabler, with 82% of the companies expecting rapid growth in their industries because of adoption of AI. Companies say that AI is a key enabler for them because it drives efficiency (72%), saves their time (68%), reduces costs (58%) and improves quality (44%). The top business areas for generative AI are IT operational (65%), customer support (64%), security (54%), marketing (50%) and training (46%).
68% of the companies say that they have more than three teams who are using generative AI. 97% of the companies said in the survey that they expect their new teams to begin using generative AI in the next two years. 31% said that they want their training teams to start using generative AI, 29% said customer support and HR, 27% said marketing and 25% said sales teams should start using generative AI.
95% of the companies said that AI needs enhanced security measures with 94% concerned about data protection with AI applications. Data control and access were the most needed controls for generative AI. Due to security concerns, 78% companies are using in-house or home grown generative AI. 52% of the companies said that their teams are using third-party AI solutions to make in-house AI. 43% are using commercial and 38% are using open-source AI solutions. 88% of the companies say that it takes 6 months or longer to have an in-house AI application operating perfectly.
Only 17% of companies rate AI accuracy as high while 61% claim that they have faced accuracy issues with their in-house AI models. Most companies say that their in-house AI projects are mediocre and sometimes the worst. There's also a shortage in AI experts, with only 10% of the respondents claiming to have high confidence in their AI skills. 63% have moderate confidence while 4% have absolutely no confidence in their AI skills.
The survey also asked the companies which capabilities in AI solutions they highly prefer in commercial settings. The top answers were security controls (69%), followed by data governance (65%) and high quality (57%). This survey shows all the challenges businesses are facing when it comes to AI. There are some factors that need to be crossed when it comes to AI adoption and if a company succeeds to implement all those factors, the generative AI use in the company becomes easy.
Read next: Google AI Overviews Show Up More on Signed In Accounts than on Signed Out Accounts
The results of the survey found that 96% of the companies think that AI is a key enabler, with 82% of the companies expecting rapid growth in their industries because of adoption of AI. Companies say that AI is a key enabler for them because it drives efficiency (72%), saves their time (68%), reduces costs (58%) and improves quality (44%). The top business areas for generative AI are IT operational (65%), customer support (64%), security (54%), marketing (50%) and training (46%).
68% of the companies say that they have more than three teams who are using generative AI. 97% of the companies said in the survey that they expect their new teams to begin using generative AI in the next two years. 31% said that they want their training teams to start using generative AI, 29% said customer support and HR, 27% said marketing and 25% said sales teams should start using generative AI.
95% of the companies said that AI needs enhanced security measures with 94% concerned about data protection with AI applications. Data control and access were the most needed controls for generative AI. Due to security concerns, 78% companies are using in-house or home grown generative AI. 52% of the companies said that their teams are using third-party AI solutions to make in-house AI. 43% are using commercial and 38% are using open-source AI solutions. 88% of the companies say that it takes 6 months or longer to have an in-house AI application operating perfectly.
Only 17% of companies rate AI accuracy as high while 61% claim that they have faced accuracy issues with their in-house AI models. Most companies say that their in-house AI projects are mediocre and sometimes the worst. There's also a shortage in AI experts, with only 10% of the respondents claiming to have high confidence in their AI skills. 63% have moderate confidence while 4% have absolutely no confidence in their AI skills.
The survey also asked the companies which capabilities in AI solutions they highly prefer in commercial settings. The top answers were security controls (69%), followed by data governance (65%) and high quality (57%). This survey shows all the challenges businesses are facing when it comes to AI. There are some factors that need to be crossed when it comes to AI adoption and if a company succeeds to implement all those factors, the generative AI use in the company becomes easy.
Read next: Google AI Overviews Show Up More on Signed In Accounts than on Signed Out Accounts
