The biggest barrier to enterprise AI adoption isn't technology - it's training

One of the biggest questions currently facing the tech industry is how quickly and extensively enterprises worldwide will adopt GenAI applications and services. My in-depth research report on the topic (see: The Intelligent Path Forward: GenAI in the Enterprise for more) suggests that high-level adoption is progressing at a fairly rapid pace. However, hidden within the broader narrative of that research – and other studies I've reviewed – is the fact that the impact and value of generative AI for individual workers remain decidedly mixed. Yes, organizations are actively developing applications and processes that leverage the impressive capabilities of large language models, but completing these applications and deploying them enterprise-wide has proven to be a significant challenge for multiple reasons. Key challenges in GenAI adoption and the training gap First, many enterprises are discovering that gathering the necessary in-house data to train and fine-tune models – so they refle ... Read full article.