Extract from Ismael Alaoui’s article “Onna’s AI story”
In a recent blog post, we outlined six guiding principles for artificial intelligence (AI) at Onna. Our aim was not only to assist others in navigating the evolving AI landscape but also to promote transparency about our AI approach. This approach encompasses our practices, technology, vendors, and data usage, and we extend it to our team, customers, and partners.
Today, I’ll take you through Onna’s AI journey — starting from where we began with AI, where we currently stand, where we are headed, and how we apply our principles at every step. Because ultimately, we believe that creating trust in AI requires more than just defining principles; we must actively put those principles into practice.
Onna’s data management fabric
Before we delve into the evolution of our AI, let me provide a high-level overview of how Onna solves the fragmented data problem. Onna was built to help organizations gain control over their data. Typically, this involves unstructured data that proliferates quickly over time and across multiple digital platforms. While some companies choose to tackle this challenge internally, they soon discover the steep costs and complexities associated with such an endeavor.
