FOMO（取り残される恐怖）はAI導入の適切な理由ではない

With nearly every enterprise feeling the pressure to use AI immediately, some are not applying AI to the right use cases. For many enterprises, the rush to use AI has to do with the fear of missing out and not wanting to be behind on innovation.This rush means that many enterprises have yet to realize the full potential of AI. Some studies show that most AI proofs of concept within organizations fail. For example, an MIT study showed that 95% of generative AI pilots at organizations aren't working. One reason might be that enterprises are treating AI as the primary plan or strategy. Instead, enterprises should view generative AI as a means to an end, said Faisal Masud, president of digital and lifecycle services, for multinational IT vendor HP, on the latest Targeting AI podcast from AI Business.While primarily a hardware vendor, HP also offers Workforce Experience Platform, a SaaS program that helps IT teams manage employee digital experiences across hardware devices such as PCs, Macs, printers and virtual machines. Related:The Real AI Shift Isn’t New Models. It’s Control.On Tuesday, the vendor introduced several new AI-powered tools, including AI Remediation, which helps reduce manual intervention and automates repeatable tasks such as memory cleanup.With platforms like these, HP aims to help enterprises use AI to solve specific problems, and that is what Masud said enterprises should aim to use AI technology for: as a problem solver."Enterprises need to think about the problem first and the solution they're trying to get to, versus thinking of AI first and then sort of manufacturing the problem along the way," Masud said.He added that enterprises should consider what they are already doing in their workflows and whether they can be augmented with AI technology."If AI plays a big role in that, then that's the right approach," Masud continued. "But to come up and manufacture a problem so that AI can solve it, that's where the FOMO is kicking in, and it's been happening for a while."This fear of missing out could also lead enterprises to see AI as a replacement for humans, which can create problems down the line."Yes, organizations will have a chance to say we can streamline with AI, we don't need the employees," Masud said. "I'm sure there are cases that that's true, but I'm pretty confident there are cases where that's not true, and it's just a good talk track."He added that most of the time, humans must be in the loop to keep the AI system accountable and help the organization.About the AuthorsNews Writer, AI BusinessEsther Shittu brings four years of expertise covering artificial intelligence technologies and industry trends. As co-host of the "Targeting AI" podcast, she talks to thought leaders and practitioners exploring critical AI developments. Previous to AI Business, she wrote for several publications including the New York Daily News, Bklyner and the Brooklyn Daily Eagle. When she's not diving deep into the world of AI, she spends her time on passion projects and raising her three daughters.Senior News Director, AI BusinessShaun Sutner, a journalist with more than 25 years of daily newspaper experience and 11 years at Informa TechTarget as an editor and writer, directs news coverage for AI Business. He was previously a senior news and features writer covering health IT and HR software at TechTarget and a senior news director overseeing coverage of AI, business analytics, data management and government tech regulation.Sutner's newspaper career included investigative reporting and covering the Massachusetts State House and politics for the Worcester Telegram & Gazette. He has written about snow sports as a T&G columnist and correspondent for 20 years. Sutner's interests also include tennis, standup paddleboarding, cooking and popular music.