Why Enterprises Still Struggle To Implement AI Organization-Wide (And What You Can Do About It)
CIO, Friday, November 29th, 2024
As the enthusiasm around artificial intelligence (AI) reaches its peak, it has become clear that AI is no longer just a 'nice-to-have' for enterprises. Now a game changer for its efficiency and productivity gains it offers businesses, it's no wonder that nearly every enterprise has some form of AI in place.
But maximizing their AI potential can be a sizable challenge. That's because deploying AI across the organization can require significant resources, such as technical skills and access to critical, high quality data.
According to Foundry's AI Priorities Study 2023, half of the companies interviewed are grappling with IT integration, including governance, maintenance and security, with these issues exacerbated by the lack of in-house expertise for design, deployment, which complicates the making of a business case for AI. Moreover, 94 percent of ITDMs have difficulty addressing ethical implications when implementing AI technologies, with data privacy being the number one challenge for businesses at 41 percent.