In a survey of 16 nations ‘ use and application of relational AI, American businesses came in third place. According to the study, 63 % of American businesses are currently using conceptual AI, according to SAS’s data analytics firm.
According to 1, 600 decision-makers from around the world who responded to the research, American conceptual AI usage is above the average and Australia is leading the pack in terms of generative AI-related policy deployment.
Which nations are implementing relational AI completely?
63 percent of American businesses use relational AI, according to research. Australian enterprises sit behind China (83 % ), the U. K. ( 70 % ) and the U. S. ( 65 % ), according to SAS, but are ahead of the global average, with 54 % of enterprises worldwide using generative AI.
Companies in the APAC area as a whole, led by China, are among the country’s most hungry consumers of AI. APAC businesses are not far behind, with a total of 63 % using AI at some point within their organizations, compared to North America ( 70 % ) in terms of overall usage.
Use does not indicate that the tool has been put to full use. Compared to the 11 % global average, only 8 % of Australian businesses that were surveyed by SAS have fully implemented generative AI. Numerous regional businesses are also conducting relational AI use cases or piloting them.
Observe: 9 Exciting Business Use Cases for AI in Australia by 2024.
It is a similar story in China, where, despite very high usage, only 19 % of organisations have fully implemented generative AI. The U. S. is leading the pack when it comes to full application, SAS found, with 24 % of companies completely deploying the systems.
American businesses satisfied with the rollout of relational AI
When using AI, American firms consistently achieve good results. For instance:
- 91 % reported better employee experience and satisfaction, compared with 89 % globally.
- 85 % said they are making savings on administrative expenses, compared with 82 % globally.
- 89 % stated that customer retention is higher thanks to AI, compared with 82 % globally.
According to Craig Jennings, the SAS vice chairman and managing director of ANZ, he was seeing nearby businesses increase employee satisfaction and functional efficiency while freeing up resources for “enhanced technology and user experience.”
The best relational AI issue in Australia is data security.
Data protection is cited as one of the major concerns of 82 percent of Australians who research generating AI. According to SAS, this was followed by:
- Data privacy ( 64 % ).
- Ethical implications ( 64 % ).
- Over-reliance or dependence on generative AI ( 59 % ).
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Australia is more willing to put in rules to address these issues. SAS found that almost three-quarters ( 73 % ) of Australian organizations ‘ respondents said they were either fully prepared for generative AI regulations or only occasionally.
Challenges with management and tracking
The biggest obstacles to implementing effective governance and monitoring of generative AI were, according to Australian decision-makers, technological limitations ( 32 % ), a lack of transparency and accountability ( 28 % ), and a lack of clear guidelines or standards ( 21 % ).
Knowledge gaps are less severe than those in other areas.
Despite a generative AI-related skills shortage, APAC respondents, including Australians, actually have less difficulty finding skills ( 49 % ) than other regions do. Only 44 % of North American firms have problems in this area, while 56 % of those in Europe are the most difficult.
Australia is ideally suited for relational AI progress.
Even though Australian businesses have been slower than additional nations to completely deploying conceptual AI, they still have a number of fundamental components in place to support deploying generative AI effectively and efficiently. These aspects include:
- A solid understanding of relational AI technology.
- relational AI use policies that are widely used.
- Focused budgets for new conceptual AI initiatives.
Furthermore, the report found that:
- Compared to 82 % of global respondents, 87 % of Australian respondents said they had a good understanding of AI or had a modicum of understanding.
- Compared to North America ( 63 % ), South West and Eastern Europe (60 % ), and Northern Europe ( 58 % ), more Australian businesses ( 72 % ) have adopted generative AI use policies.
Nearly all Australian businesses that intend to invest in generative AI in the upcoming fiscal year ( 94 % ) have secured a dedicated technology budget. This was on par with the APAC region as a whole ( 94 % ), but SAS claims it was ahead of North America (89 % ), South West and Eastern Europe (91 % ), and North America (91 % ).
According to SAS’s Jennings, Australian industries in the fields of financial services, life sciences, and financial are outperforming their weight in terms of age in understanding and adopting relational AI, which is optimistic for the region’s technology’s future.
