Unlocking Success with Data-Driven Artificial Intelligence The Missing Piece of a Stronger Framework
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. Agentic AI scales on data strength, as Niels Zeilemaker, global CTO at Xebia, explains. "If you don't think about that, you can end up with a system that's just trying to solve what it thinks are problems, but ultimately ends up doing more harm than good," he notes.
A well-maintained data foundation is crucial in building effective AI agents. This means ensuring that your data is accurately labeled, relevant, and consistent - the backbone of any successful AI model. Without robust data, AI algorithms struggle to make sense of it, leading to suboptimal results and ultimately hindered business outcomes. As Zeilemaker emphasizes, "The right data foundation is what unlocks the full potential of AI agents, allowing them to learn from experience and adapt to new situations."
By prioritizing a strong data foundation, organisations can unlock the true potential of their AI agents and accelerate their success. With accurate, high-quality data at its core, businesses can reap the benefits of AI-driven innovation - improved efficiency, enhanced decision-making, and increased competitiveness. As Zeilemaker highlights, "A strong data foundation is the missing piece that completes a stronger framework," making it essential for organisations to invest in data quality and integrity from the outset.