Juniper Networks Research Finds Artificial Intelligence Adoption Expands Tenfold Across Enterprises While Governance Lags - Seite 2

– Sharon Mandell, SVP and CIO, Juniper Networks

The research also found:

• Despite growing dependence on AI, IT leaders do not see AI replacing humans, but rather allowing employees to save time and focus on more strategic and nuanced tasks. Around half of IT leaders say AI will allow employees to focus on being more innovative (55%), gain new skills (50%) and increase their engagement (47%).
• Almost all AI/ML leaders (95%) agree cybersecurity is a critical component to maintaining and securing an enterprise AI solution. Cybersecurity substantially increased in importance as the most critical area for AI adoption: 29% said cybersecurity was the most critical to AI adoption in 2022, versus 14% in 2021.
• Almost all IT leaders (96%) say that in the next 12 months, AI will assist in reducing risk and increasing quality within their organization, with Networking/Cloud (25%), IT Infrastructure (21%) and Supply Chain (15%) as the business functions thought to have the greatest potential to derive benefits from implementing AI.
• Hiring the right people to operate and develop capabilities is a top area for investment for optimizing AI. IT leaders rank three areas as the top investment options (21% each): hiring the right people to operate and develop AI capabilities; further training the AI models; and expanding the capabilities of the current AI tool into new business units. Last year, 26% of respondents ranked hiring people to develop AI capabilities within an organization as their top investment priority for optimizing AI capabilities in their organizations, compared to the 11% who said their top priority was to train end-users to interact effectively with the tools themselves.

“AI is ultimately designed to perform tasks on par with humans but at higher scale via automation. Many of Juniper’s own customers are leveraging cloud AI in their networks to dramatically cut support tickets, which frees up IT teams from the drudgery of tactical issues, allowing them to focus on improving end users’ experiences. But with all the positives, enterprises need to responsibly manage AI’s growth with proper governance to stay ahead of regulation and minimize potential negative impacts. In Europe, for instance, we are seeing regulators starting to classify certain AI use cases as risky and requiring CE certification. AI regulation is changing quickly and business leaders must make AI governance a strategic priority.”