Unlocking Success with the Right Data Foundation for AI Agent Performance
To effectively utilize artificial intelligence (AI) and achieve success in automating processes, organizations need to start at the foundation - making their data available for AI consumption. As noted by Niels Zeilemaker, global CTO at Xebia, "the strength of a data foundation is the key to unlocking the full potential of agentic AI" when scaling on it. This means that if an organization doesn't prioritize its data, they risk deploying AI agents that fail to deliver meaningful results.
The importance of data availability cannot be overstated, as agenic AI relies heavily on it to operate effectively. Without sufficient data, AI models are often misinformed or unable to make accurate predictions, leading to subpar performance and decreased productivity. As Zeilemaker explains, "if you don't think about that, you can easily [fail] without the right data foundation."
To overcome this challenge, organizations must invest time and resources into ensuring their data is robust, comprehensive, and scalable. This may involve implementing new data management systems, reorganizing existing data structures, or leveraging advanced analytics tools to optimize data quality. By prioritizing data foundation, organizations can unlock the full potential of AI agents and drive greater success in their operations.