Generative AI is no longer just an experimental topic: It’s become a core focus of enterprise strategy. Behind the scenes, companies are moving beyond proofs of concept and into the more challenging work of scaling infrastructure, establishing governance and delivering measurable outcomes. As the excitement settles, the center of gravity is shifting from innovation theater to operational reality.That shift requires less fanfare and more friction management, according to Bruno Aziza (pictured), group vice president for data, business intelligence and artificial intelligence at IBM Corp

Companies are leaning into generative artificial intelligence with bold ambitions, but scaling those aspirations demands an agentic strategy that goes beyond enthusiasm and experimentation.As many focus on engagement and content generation, IBM is calling attention to the operational realities that underpin lasting success. Its agentic strategy is gaining traction because it bridges creative momentum with the practical discipline of execution oversight and governance, according to Bruno Aziza (pictured), group vice president for data, business intelligence and artificial intelligence at IBM Corp