AI agents connect the power of large language models with APIs, enabling them to take action and integrate seamlessly into employee workflows and customer experiences in a variety of domains: World-class IT organizations are adapting their strategies and practices to develop AI agents while mitigating the risks associated with rapid deployments. "Building a world-class IT team means leading the conversation on risk," says Rani Johnson, CIO of Workday.
Our industry is rushing headlong toward an AI-powered future. The promise is captivating: intelligent systems that can predict market shifts, personalize customer experiences and drive unprecedented growth. Yet in that race, many organizations are short-changing or even skipping a critical first step. They are building sophisticated engines but trying to run them on unrefined fuel. The result is a quiet crisis of confidence, where powerful technology underwhelms because the marketers don't trust the data it relies on.
A robust data infrastructure is the foundation for any successful genAI initiative. With a solid data strategy and access to rich, trusted datasets, marketers can identify relevant opportunities, improve effectiveness and drive measurable returns.