Collibra

Stijn Christiaens discusses major misconceptions business leaders have about AI, including the belief that AI requires no data investment and the assumption that AI systems are already reliable when they are still emerging technology. He also explains what "AI ready data" means, covering both the quality requirements for training machine learning models and the need to prepare both structured and unstructured data (which comprises 80-90% of organizational data) for AI systems to draw upon, including using semantic layers to create knowledge products from documents.

Stijn Christiaens discusses how he transitioned from working at a local software company to joining a research lab at the University of Brussels, where he was exposed to multidisciplinary work in NLP, linguistics, and computer science. He describes how a phone call from someone at a packaging company asking about solving data integration problems between systems like ERP and CRM became the catalyst for him and three co-founders to start Collibra, initially funding it with 15,000 euros per person in a friends and family round before seeking outside investors.

Felix Van De Maele describes Collibra as a data intelligence software company that helps large organizations find, understand, and trust their data through data governance, data cataloguing, and data privacy compliance services. He discusses how data chaos has increased over the past decade due to growing data volumes, cloud migration, and more people consuming and producing data, and notes that the pandemic highlighted these issues as society grappled with questions about data trustworthiness in COVID-19 dashboards and statistics.

In this interview, Stijn Christiaens discusses how organizations repeatedly make the same mistakes with new technologies like cloud data warehouses that they previously made on-premise, and identifies people problems and cross-functional collaboration as the biggest challenges in data and AI work rather than technology itself. He argues that organizations should treat data as a valuable asset rather than exhaust, emphasizes the importance of trustworthy data products, and predicts that AI will become more powerful and commoditized while requiring increasingly more data to function effectively.

Felix Van de Maele discusses how Collibra has evolved from providing data governance for analytics to serving as an "enterprise AI control plane" that governs data for agents and models. He explains that effective agentic AI requires aligning technical and business teams to build semantic models and ontologies that teach agents how to interpret and navigate business processes, not just connecting data to agents. He emphasizes that Collibra is focused on providing context and control to help organizations run agents faster and cheaper while moving AI use cases into production at scale.

Felix Van De Maele discusses how Collibra achieved product-market fit seven years after its university founding, which he identifies as the critical first step before scaling through thought leadership, product leadership, and market leadership in that specific order. He emphasizes that hiring the right people, particularly co-founders and the first 10-20 employees, is essential to building company culture and avoiding the need for micromanagement as the company grows.