Dive Brief:
- AI adopters are finding success in some areas but are still running into roadblocks, especially when it comes to data, according to a Lenovo report published Wednesday. The hardware provider commissioned an IDC survey of nearly 3,000 executives.
- Around 1 in 4 executives say AI projects surpassed expectations, mainly in IT operations, software development and marketing. The top three drivers of AI success were data sovereignty, compliance and quality.
- Data-related challenges are also the top reason AI projects fall short, execs say. One-third of respondents said developing data management capabilities is a high priority. Nearly 2 in 5 said they remain apprehensive about AI adoption.
Dive Insight:
Enterprises are holding focus on AI despite challenges in scaling and implementing the technology. The steady approach is paying off.
Most businesses gained ground last year, experiencing quicker software development, faster innovation or more time saved, according to an IBM report. But the hiccups are still undeniable.
Gartner expects organizations piloting use cases to abandon nearly one-third of generative AI projects after the proof-of-concept stage by the end of 2025.
CIOs are working to address the hurdles stifling their AI aspirations this year as the scope and consequence of weak data processes come clearer into view.
Data and AI skills are two of the top skills leaders plan to bolster within their enterprise, according to Skillsoft. Enterprises are also prepping to double investments in AI-related data storage, a Hitachi Vantara report found.
