Chief artificial intelligence officers in high demand

Publisher Businesses are looking to artificial intelligence to boost productivity and innovation, with one-third of companies interested in the technology having hired or are looking for a chief artificial intelligence officer, according to new research from Foundry.

In the 2023 Artificial Intelligence Priorities Study, the Foundry surveyed IT decision-makers who are already implementing AI and generative AI technologies in their organizations; Plans are being implemented, and some are actively researching these technologies.

Currently, generative AI ranks high among these AI priorities, with 56% of respondents eager to learn more about it.

High expectations for generative AI

IT leaders want to leverage generative AI across a range of projects, and most are excited about using it Interest in chatbots and virtual assistant applications for this technology (mentioned by 56%). Content generation is another key use case for generative AI, mentioned by 55% of respondents, with industry-specific applications (48%), data augmentation (46%) and personalized recommendations (39%) rounding out the top five .

Just over a quarter of IT organizations (26%) are already using generative AI to create content, such as phishing simulations or writing policies, and a further 42% plan to do so within a year . In software development, AI is expected to have an impact through prompt engineering, among other uses, with 21% of businesses now using it in conjunction with code development and 41% expecting to do so within a year. Help desks are another area ripe for AI adoption, with 17% currently leveraging AI-generated technology to provide IT support and a further 45% planning to do so in a year or less.

58% of the respondents believe that generative artificial intelligence will play an important role in improving employee productivity, and some respondents have even begun proof-of-concept testing.

However, respondents were divided on whether these individual productivity gains would be replicated at the corporate level, or whether companies would take the opportunity to do the same work with fewer people. 55% of respondents believe that generative AI will allow employees to refocus on high value-added tasks, while 54% believe that AI capabilities will reduce the number of employees.

Businesses are preparing for the arrival of artificial intelligence in a variety of ways, with 57% of respondents saying they are already identifying use cases, 45% starting pilot projects, and 41% For employees to train or improve their skills in artificial intelligence, 40% of respondents have formulated relevant policies and guidelines.

About 30% of IT decision makers are already putting generative AI tools into the hands of users, and 23% say they are testing applications from vendor partners.

Software vendors have been busy infusing generative artificial intelligence into their products. Fifty-five percent of respondents agreed that such products create better business results, but only 44 percent said they would pay more for them, which is a relief.

IT decision makers are already seeing generative AI capabilities appearing in some of the enterprise applications they use. Generative AI capabilities appear most frequently in productivity and collaboration tools, such as Microsoft's M365 Copilot, which will be released in November, and marketing/sales software, such as Salesforce's Einstein Copilot, and buyers believe it will bring the most income. In the ERP system, they did not see artificial intelligence and did not believe that artificial intelligence would bring such great benefits. This discovery will definitely disappoint SAP, because SAP released the Joule artificial intelligence generation assistant in September.

Safety and Privacy Issues

Respondents have some ethical concerns about using generative AI, the most important of which are security and privacy issues (both 36%), followed by authenticity sex and trust (34%), intellectual property (31%), regulatory compliance (29%), bias (27%) and transparency (27%).

Data is also a concern, with only 34% of respondents confident their organization has the right data and technology to implement effective AI.

The most challenging requirements they face in this regard are quality and quantity, privacy and ethical considerations, and variability of data.

In terms of technology, the most common factors affecting the integration of generative artificial intelligence with existing systems are data integration (45%), security and privacy (45%), user experience (34%), training ( 31%), compatibility (26%) and change management (25%) – these are broadly the same concerns when integrating other new and legacy systems.

Let the rich get richer

Organizations are investing in AI to increase employee productivity (48% of respondents), enable innovation (43%) and gain competitive advantage (48%) 41%).

By almost all measures, large organizations (those with 1,000 or more employees) are leading the way in AI investment and adoption: small businesses are not keeping up. So if AI is a disruptor, it is likely to tilt it further in the direction of those in power.

Among large enterprises, 38% have hired data scientists and 29% are looking for data scientists to specialize in supporting generative artificial intelligence; among small enterprises, these two figures are 17% and 30% respectively. %. Hiring imbalances also continue for other generative AI support roles: 20% of AI chatbot developers in large enterprises compared with just 8% in small businesses; among just-in-time engineers , this proportion is 15%, while among small businesses, this proportion is only 7%. 15% of large companies are hiring chief artificial intelligence officers, while only 6% of small companies are hiring chief artificial intelligence officers.

Development Trends

In 37% of enterprises, software developers are already getting help from generative AI in code generation or completion, but it is also the larger enterprises that are here Leading the way, 41% of companies use generative AI for software development, compared with 33% of smaller companies.

Among companies that have not yet used such auxiliary development tools, 81% expect to use them in the future, but only 34% plan to use them within the next year, and the remaining companies have not yet set a timetable.

Foundry surveyed 965 IT decision-makers, half of whom were in North America, one-third in the Asia-Pacific region and one-sixth in Europe, the Middle East or Africa. The technology industry is the most represented (20%), followed by manufacturing (13%), services (11%), financial services (8%), education (8%), and healthcare (6%). and retail, wholesale and distribution (6%).

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