Unlikely Allies: How AI Failures Can Be Turned into Hidden Strengths
When it comes to accelerating processes with artificial intelligence, one of the most crucial factors is often overlooked - making the data available for AI consumption. This simple yet critical step can have a profound impact on the success of an organization's AI initiative. Global CTO at Xebia Niels Zeilemaker notes that "if you don't think about that, you can easily fall into the trap of relying solely on pre-built models and algorithms without putting in the groundwork to create your own data assets."
Agentic AI scales based on its ability to consume high-quality data, making it an indispensable component in any organization's AI strategy. By not starting with this fundamental aspect, organizations risk creating artificial intelligence that is essentially blind to their underlying needs and problems. In fact, as Zeilemaker points out, "if you don't think about the foundation, you can easily get stuck in a cycle of relying on pre-built models without putting in the effort to create your own data assets."
So, what does this mean for organizations looking to integrate AI into their processes? According to Xebia, developing an effective data strategy is key. By starting with the right mindset and approach - one that prioritizes the creation of high-quality data - organizations can unlock the full potential of artificial intelligence and turn seemingly insurmountable challenges into hidden strengths.