Translating artificial intelligence (AI) value from isolated pilot projects to enterprise-wide adoption remains a primary hurdle for many organizations. While experimentation with generative models has become widespread, the industrialization of these tools—encompassing necessary governance, security, and integration layers—often stalls.
To bridge the gap between investment and operational returns, IBM has introduced a new service model. This model is designed to help companies effectively scale their AI implementations and ensure tangible value is realized across the entire business ecosystem.