As the private sector has always been unreliable in terms of AI regulation, it has been predicted to lose its control for AI regulation to the government over the next five years, according to new research conducted by Pegasystems, the software company that crushes business complexity.
The global study, conducted by research firm iResearch, surveyed 1350 C-level executives across seven different industries in 12 countries to examine how growing technology trends such as artificial intelligence (AI) governance, hyper-automation, extended reality (XR), extended edge, and distributed cloud will evolve over the next five years.
“If you want a real competitive advantage, you have to take an active, deliberate approach to adopt new digital technology now,” said Don Schuerman, CTO & vice president, product strategy & market, Pegasystems. “Technology keeps advancing and is not going to slow down for organizations to catch up. Business leaders who are willing to embrace emerging technologies including AI, XR, extended edge, hyper-automation and distributed cloud will be the most likely to come out on top over the next five years.”
The research identified a growing need for business leaders to take stronger accountability for the governance, integration, innovation, and adoption of emerging technologies so they can better enact change within their organizations. Key findings from the study included:
The public sector is poised to fill the AI governance gap: Three quarters (65%) of respondents feel the current level of external AI governance isn’t sufficient to manage its explosive growth. However, over a quarter (27%) report they have no designated AI governance leader and only 25% are managing a formal policy at the C-suite level. So who will fill the AI governance leadership void – the public or private sector?
Though the vast majority (78%) of respondents prefer full or equally shared responsibility for regulation, the numbers flip when asked about expectations for five years out, when 75% expect the government will be largely or fully responsible for governance, which is far from what respondents feel is the most appropriate balance. Whatever the future brings, the stakes are high: more than half (53%) are concerned that external and/or government regulation will stifle their innovation.
Successful integration will be key to the dawn of the age of hyper-automation: More than half (52%) of respondents say the pandemic has forced them to identify more opportunities to infuse automation into their businesses. This is particularly true in areas like workflow and case management – typical areas where companies focus their efforts to reduce costs and increase efficiencies in difficult times.
However, the study suggests that this shift to hyper-automation is more than just a short-term measure borne out of necessity; today, only 32% see hyper-automation helping their business improve workflow and case management, but this number almost doubles to 61% when asked to look five years ahead.
Meanwhile, in supply and distribution chains, only 26% see a current hyper-automation impact – a figure that stretches to 64% when respondents were asked to estimate its impact in five years.
For hyper-automation to become a reality, concerns around integration must be addressed. Fifty-eight percent of respondents cite integration with existing legacy systems as the biggest automation challenge, while 40% point to compatibility with third-party technologies as their biggest concern.
Extended Reality (XR) will add new dimensions to customer experiences… eventually: Though XR is one of the biggest emerging technology trends for consumers, just 35% of business leaders said XR is currently changing the way the industry is providing a customer experience. However, the picture could look very different in five years, when 30% of respondents say XR will become essential to customer engagement and over half (52%) believe XR will eventually become a competitive differentiator.
Distributed cloud and the extended edge will maximize application effectiveness – provided the technology infrastructure matures around it: Seventy-three percent of respondents said remote and mobile work trends have made cloud deployments a high priority, while more than half (51%) said mobile and remote functionality will continue to be one of several drivers for extended edge technology adoption.
But to achieve their full potential, the cloud and extended edge will need some help: 41% of respondents say maturation of AI, automation, and machine learning are necessary to achieve deeper success.
Today, only 22% rated their distributed cloud technology as ‘intelligent’ or ‘mature’, while 18% of respondents said the same of extended edge technology, demonstrating the extent of the challenge ahead.