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Kathleen Martin

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Some business functions are suitable for a “do it yourself” approach, and some aren’t. AI clearly isn’t. A DIY approach to AI is expensive, time-consuming and a better fit for experimentation than organization-wide deployments. Instead, innovative and forward-looking organizations are thinking more holistically about their approach to enterprise AI, turning to outside experts to unlock new efficiencies and accelerate time to market.
The Rise Of Enterprise AI
For years, AI was characterized as a futuristic technology — something out of sci-fi films like The Matrix but not a tool for businesses to wield. However, that perception has dramatically changed in recent years.
According to McKinsey’s State of AI in 2020 report, organizations are increasingly using AI to generate value. Half of the respondents said their company has adopted AI in at least one business function, indicating AI will soon become more common than not. And these organizations aren’t just hopping on the latest tech bandwagon; they’re seeing real value across their businesses.
Nearly a quarter of respondents attributed more than 5% of their organization’s earnings before interest and taxes (EBIT) to their use of AI. The AI high performers — companies that said 20% or more of enterprise-wide EBIT in 2019 was attributable to their AI use — reported better overall performance and better overall leadership compared to respondents who haven’t been as successful at embedding AI in their organizations.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2021/11/03/ai-is-the-new-internet-but-diy-ai-can-leave-most-enterprises-reeling/?sh=15e648374d77
 

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