5 Eyl 2022
3 dk okuma süresi
The number of completed or nearly completed AI projects has increased tenfold in the last year. That's great news, but IT teams must work extra hard to keep up. To put it all together, businesses require more professionals with the necessary skills, and executives and managers are responsible for ensuring that the AI securely provides what the business needs.
According to a recent Juniper Networks poll of 700 IT managers and executives, the problems are talent shortages, integration problems, and governance requirements.
The percentage of AI implementations that are finished or almost finished has increased from 6% to 63% over the past year. Additionally, compared to the more specific use cases that predominated the study from the previous year, there is today more enthusiasm for full AI adoption. The proportion of IT executives who say they want to introduce fully functional AI use cases with broad acceptance in the future increased from 11% to 27%.
The age-old build-or-buy dilemma
With AI initiatives, the age-old build-or-buy dilemma has resurfaced. Companies are divided over whether to adopt commercially available AI solutions or internally. Nearly 4 in 10 CEOs (39%) say their companies utilize commercially available AI solutions and completely developed in-house solutions, with 3 in 10 stating they only use bought or built solutions, not a combination.
Internally developed AI solutions present their own set of difficulties. According to more than half (53%) of the IT leaders polled, the stability of these in-house AI applications is the greatest issue, followed by integration with current systems (46%), locating new personnel with AI skills (44%), and development time (44%).
AI needs captains
Many of today's IT leaders struggle with finding or developing the proper professionals to create, use, and benefit from AI. Three categories top respondents' investment intentions in the study (21% each): selecting the best candidates to manage and advance AI capabilities, enhancing AI model training, and extending the present AI tool's capabilities into new business units.
At least 42% of respondents claim that their existing data and analytics teams are utilizing AI technology and setting the pace in this area. A comparable number has established an AI center of excellence.
The most effective ways to encourage workforce adoption of AI are to offer resources and opportunities for using newly learned AI skills (43%), to incorporate AI into performance measures (40%), to create a workforce strategy that identifies new jobs and skills (39%), and to alter learning and development frameworks (39%).
Another 39% of IT leaders use low-code and no-code AI-enabled development solutions to address this issue. 34% of respondents are using AI modeling automation tools.
Governance and policies challenges
Businesses had to deal with the issues of model development and data standardization in 2021 due to AI. These issues still exist in 2022, but ones linked to developing governance policies (35%) and the upkeep of AI systems (34%) have gained significance.
Great capabilities come with great responsibilities. Only 9% of IT leaders believe their AI governance and policies—such as appointing a corporate AI leader or using responsible AI standards and procedures—are properly developed. Having adequate AI governance is essential to remain ahead of future regulations, according to 95% of leaders, up from 87% in 2021. More leaders are prioritizing IT governance. Over half of respondents (48%) believe that greater action is necessary to ensure successful AI governance.
AI ethics
44% of respondents said they have set up AI ethics and Responsible AI guidelines and procedures. The same percentage appointed AI executives responsible for AI strategy and governance throughout the organization.
Accelerated hacking, or what the survey's authors refer to as "AI terrorism," tops the list of hazards from insufficient oversight of AI, according to IT leaders (55%). With 55% of respondents citing it, privacy is also the top concern. Loss of human agency (48%) and regulation compliance (49%) were both mentioned as serious dangers.
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