The evolution of artificial intelligence is moving from larger, single‑model systems toward agentic AI, where multiple purpose‑built agents collaborate in real time. This shift hinges on a unified, identity‑resolved data layer that provides shared context, ensuring agents act coherently rather than drift. Interoperable APIs and an architecture designed for continuous feedback loops replace monolithic platforms, allowing AI to operate as an ongoing intelligence layer rather than a one‑off answer generator. Humans remain central, setting goals and overseeing the autonomous agents that handle minute‑by‑minute decisions. Leer más →

Enterprises must move beyond experimentation to embed artificial intelligence across the organization. Senior leadership, especially CEOs, need to sponsor AI initiatives, set clear outcomes, and empower teams to own results. Successful AI adoption requires a shift from siloed projects to a culture of continuous experimentation, distributed responsibility, and ongoing learning. By aligning AI with business goals, providing visible support, and fostering psychological safety, companies can unlock transformative value and sustain competitive advantage. Leer más →

Enterprises must move beyond experimentation to embed artificial intelligence across the organization. Senior leadership, especially CEOs, need to sponsor AI initiatives, set clear outcomes, and empower teams to own results. Successful AI adoption requires a shift from siloed projects to a culture of continuous experimentation, distributed responsibility, and ongoing learning. By aligning AI with business goals, providing visible support, and fostering psychological safety, companies can unlock transformative value and sustain competitive advantage. Leer más →

Enterprises must move beyond experimentation to embed artificial intelligence across the organization. Senior leadership, especially CEOs, need to sponsor AI initiatives, set clear outcomes, and empower teams to own results. Successful AI adoption requires a shift from siloed projects to a culture of continuous experimentation, distributed responsibility, and ongoing learning. By aligning AI with business goals, providing visible support, and fostering psychological safety, companies can unlock transformative value and sustain competitive advantage. Leer más →

Enterprises must move beyond experimentation to embed artificial intelligence across the organization. Senior leadership, especially CEOs, need to sponsor AI initiatives, set clear outcomes, and empower teams to own results. Successful AI adoption requires a shift from siloed projects to a culture of continuous experimentation, distributed responsibility, and ongoing learning. By aligning AI with business goals, providing visible support, and fostering psychological safety, companies can unlock transformative value and sustain competitive advantage. Leer más →