"However, only 39% are actually experiencing impact at the enterprise level. An enterprise AI strategy isn't just a trendy thing to have in place. It's the practical framework teams need to align AI governance with growth. Just because everyone has access to certain tools, it doesn't mean that they know how to get the best out of them or that this usage will result in positive outcomes."
"Enterprises are making AI investments more than building internally. That's because it's quicker to integrate an already functioning tool than to create something from scratch. However, without a cross-functional AI strategy, AI usage and knowledge remain fragmented, and you can't expect real transformation or growth. Your teams need guidance and a clear AI strategy that will help them deliver top results."
Most enterprises remain in early experimental stages of generative AI adoption despite three years since its arrival, with 62% experimenting but only 39% achieving enterprise-level impact. Organizations prefer buying AI tools rather than building internally because integration is faster, but purchases create fragmented usage and knowledge without a cross-functional strategy. Large enterprises must balance innovation, governance, and risk across multiple business units, geographies, legacy systems, and regulatory exposures. Alignment across leadership, teams, and operating models is essential. Sustainable AI-driven growth requires coordination, clear guidance, and governance to translate tools into measurable enterprise transformation.
Read at eLearning Industry
Unable to calculate read time
Collection
[
|
...
]