Reports 10 Min Read

There’s No Time to Waste: Confidently Moving Ahead With Enterprise AI

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

• Half of organizations (50%) already have generative AI use cases in production or pilot/proof of concept stages.1
• 92% of organizations said they expect the percentage of their employees who have access to an AI platform will increase over the near year.2
• Over a short 3-year period, the percentage of organizations that saw value from their AI initiatives within three months surged from 39%3 to 72%. 4
• GenAI projects are moving rapidly through the adoption lifecycle. Nearly a third (30%) of organizations are either in “mature production” or “early production,” while another 33% said they have GenAI projects in pilot or proof-of-concept stages. 5