Australian businesses face Gen AI infrastructure challenges

AI For Business


New research from Console Connect, a global Network-as-a-Service provider, reveals that businesses rushing to adopt generative AI tools are likely to face long-term challenges with their existing infrastructure. The findings come from a comprehensive survey of chief technology officers (CTOs) and senior IT leaders across the UK, US, Australia, Hong Kong and Singapore.

Survey results show that Australian business leaders and CTOs are more concerned than their global peers: Some 87% of Australian respondents believe the rapid adoption of generative AI (Gen AI) could have a long-term impact on their company's technology infrastructure plans, significantly higher than the global figure of 76%.

Australian organizations appear to be less prepared for Gen AI implementation than those in other markets. 86% of Australian business leaders admit their company's network infrastructure does not have the capacity to fully adopt Gen AI, yet 95% have Gen AI built into their strategic roadmap. Globally, 69% share the view that their infrastructure capabilities are insufficient, while 88% plan to integrate Gen AI into their technology. Additionally, 88% of Australian IT teams feel increasing pressure to adopt Gen AI, compared to 76% globally.

The study highlights that the large amounts of data generated by Gen AI and the need to transport this data between private and public clouds are beginning to increase the cost and complexity of enterprise networks. As enterprises move to hybrid and multi-cloud architectures to support generative AI, it will be essential for them to reevaluate their cloud access methods.

Paul Gampe, CTO at Console Connect, noted the unprecedented demands placed on networks by the rapid advancements in generative AI. “The rapid development of generative AI is creating unprecedented demands on networks,” Gampe said. “As CTOs and senior IT leaders deploy Gen AI tools within their organizations, they must consider the short- and long-term impacts of moving large amounts of sensitive data between private and public clouds.”

The survey noted that security remains a major concern for organizations adopting generative AI. Security concerns are heightened in Australia, with 90% of respondents worried that generative AI will expose their network to cyber attacks and data breaches, compared to 71% globally. Cybersecurity risks and a lack of IT skills and expertise to support generative AI are seen as the main barriers to adoption.

Gampe emphasized that secure connectivity is essential to deploying mission-critical AI applications. “Our survey findings show that enterprises are increasingly concerned about the need for secure connectivity when deploying mission-critical AI applications, and that the public internet is not suited to handle many of these applications and workloads,” he said. “Automation and the shift to network-as-a-service will enable enterprises to move away from traditional network infrastructure and the public internet, and instead leverage automated, private, secure network connections to the cloud that can dynamically adjust to the needs of generative AI.”



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