Despite big strides, generative AI is still in its infancy in the enterprise, and often when AI tools are deployed, they don’t live up to expectations. Success stories come from careful planning that creates a cohesive data and infrastructural foundation where generative AI tools and AI agents can thrive. This month’s top stories highlight some of the ways things can go wrong, and how to make them right.
Top picks for generative AI readers on InfoWorld
What ‘cloud first’ can teach us about ‘AI first’
Veterans of the dawn of cloud computing have a lot to say about ensuring AI rollouts go well, and what to watch out for.
Why enterprise investment in AI agents hasn’t yielded results
At many organizations, AI agent adoption is a prime example of a failed rollout. This article tells you why.
