Unlocking Success with Smart Data The Surprising Secret to AI Agent Fails
If your remit is to help your organisation add AI agents to accelerate its processes, you have to start at the foundation and that means making your data available for AI consumption. This is a concept that may seem obvious but has been overlooked in recent years, according to global CTO at Xebia Niels Zeilemaker. Agentic AI scales on data strength, as he explains: "If you don't think about that, you can easily fall into the trap of relying on weak data and expecting the same results with AI agents."
Agentic AI is designed to work in conjunction with existing systems and processes, making it a crucial component for any organization looking to integrate AI. However, Zeilemaker emphasizes that having strong data is not enough - the quality and relevance of that data are also vital. "The data must be clean, accurate, and relevant to the task at hand," he says. "If you don't have this level of quality, you'll struggle to achieve meaningful results with your AI agents."
So what can your organisation do to unlock the full potential of its data and ensure successful AI agent implementation? Zeilemaker suggests that the solution lies in investing time and effort into building a robust data foundation. By doing so, organisations can unlock new levels of efficiency, productivity, and success with their AI agents, ultimately driving business growth and innovation.