Unlocking Success with Data-Driven AI The Surprising Truth About Failing Agents
When it comes to deploying artificial intelligence (AI) agents in an organization, one often overlooked aspect is the foundational strength of its data. Global CTO at Xebia Niels Zeilemaker emphasizes that if your remit is to add AI agents to accelerate processes, you must start by making your data available for AI consumption. Agentic AI scales on data strength, and this means that organizations need to prioritize gathering high-quality and relevant data before they can effectively utilize AI technologies.
If a company does not focus on developing a robust data foundation, it risks failing to unlock the true potential of its AI agents. This is particularly concerning as companies are increasingly using AI-powered tools to streamline their operations and improve efficiency. Without a solid data base, these systems can struggle to provide accurate insights and recommendations, ultimately hindering the organization's ability to achieve its goals.
Zeilemaker notes that organizations need to consider the limitations of their current data infrastructure when implementing new AI technologies. He also stresses the importance of investing time and resources in building a robust data foundation from the outset, rather than relying on patchwork solutions or third-party data providers. By prioritizing data-driven decision-making, organizations can unlock the full potential of their AI agents and achieve significant gains in productivity and effectiveness.