Companies’ decision-making is increasingly driven by data, with the quality of that data critical, especially in AI-driven applications. In this episode of the Tech Disruptors podcast, Barr Moses, founder and CEO of Monte Carlo, joins Sunil Rajgopal, senior software analyst at Bloomberg Intelligence, to discuss the intricacies of data-dependent intelligence and how data-observability solutions can be deployed to proactively monitor, identify and resolve data incidents. The two also talk about importance of data quality and testing tools, Monte Carlo’s platform, its business model, competitive landscape and the importance of trusted data for generative AI use cases.