Unlocking Success with AI Agents The Power of a Solid Data Foundation
As organizations look to incorporate artificial intelligence (AI) into their operations, one of the most critical components is the availability of high-quality data. This fact has been highlighted by experts in the field, who emphasize that if an organization does not start at the foundation – making its data available for AI consumption – it can quickly fall behind the curve.
Niels Zeilemaker, global CTO at Xebia, a leading provider of IT services and solutions, stresses that "if you don't think about that, you can end up with agents that are struggling to succeed." According to Zeilemaker, AI agents scale on data strength, which means that the more data an organization has available, the more effective its AI agents will be. In order for an organization to unlock the full potential of its AI agents, it must prioritize building a robust data foundation.
By making its data available and accessible to AI algorithms, organizations can reap numerous benefits. This includes improved decision-making capabilities, increased efficiency, and enhanced customer experiences. For example, by using machine learning models that are trained on large datasets, organizations can gain valuable insights into their operations, leading to more informed decision-making. In this article, we will explore the importance of a solid data foundation in achieving success with AI agents.