"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."
"A key question for every technology, data, and business leader is whether the underlying data that AI agents tap into is "AI-ready." According to Ocient's Beyond Big Data report, 97% of leaders report notable increases in data processing due to AI, but only 33% have fully prepared for the escalating scale and complexity of the AI-driven workplace. Establishing data's AI readiness is critical, as most AI agents leverage enterprise data to provide business, industry, and role-specific responses and recommendations."
AI agents combine large language models and APIs to take action and integrate into employee workflows and customer experiences. Organizations must assess whether the underlying enterprise data is AI-ready because most agents leverage internal data for business, industry, and role-specific responses. Ocient's Beyond Big Data report finds 97% of leaders report increased data processing for AI, while only 33% have fully prepared for escalating scale and complexity. World-class IT organizations adapt strategies and set clear adoption risk tolerances aligned with overall strategy, coordinating legal, privacy, and security teams. Centralizing data remains important, but data alone is not equivalent to intelligence.
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