Enterprise-level AI adoption is undebatable, undeniable, and unstoppable. AI in its many forms—machine learning, predictive AI, causal AI, and especially generative AI (GenAI)—has rapidly progressed from a sandbox status to production systems across a wide range of business requirements. Analytics, business intelligence, software development, cybersecurity, network operations, and business decision support represent just a smattering of areas where enterprises already are using AI to achieve key business goals. AI is much more than a byproduct of relentless discussion, coverage, and hype. It is a proven source of enterprisewide innovation, process improvement, and economic value. In fact, the signs of AI’s adoption and value are everywhere. Research from TechTarget’s Enterprise Strategy Group showed

Perhaps the most important signals as to AI’s remarkable—and growing—effect on organizations’ competitive positions and operational improvements include the following: Organizations are also more sophisticated in the use cases they select and more demanding in the benefits they expect. This is vital because the emergence of a broader and more strategic group of use cases—aligned to key organizational goals—breeds further support, broader adoption, and more consistent resource allocation. As shown in Figure 1, AI use cases are wide-ranging and diverse, and many specifically utilize GenAI.