20VC: Enterprises Will Not Adopt AI without Forward-Deployed Engineers | Who Wins the Data Labelling Race: How Does it Shake Out? | How Synthetic Data Threatens the Future of Human-Generated Data with Matt Fitzpatrick, CEO of Invisible Technologies

In this episode of 20VC, Harry Stebbings interviews Matt Fitzpatrick, CEO of Invisible Technologies, about the gap between AI model performance and enterprise adoption. Matt discusses Invisible's role in training large language models and deploying them for enterprise use cases, highlighting the challenges of data infrastructure, workflow redesign, and trust in AI deployment. He emphasizes the importance of CFOs understanding the ROI of AI initiatives, focusing on specific operational metrics, and avoiding "science projects." The conversation explores the talent marketplace, data commoditization, and the specialization of data, as well as the importance of forward-deployed engineers and the shift from SaaS models to hyper-personalized software solutions. Matt also shares his insights on recruiting, company culture, and the future of AI, expressing optimism about its potential to improve energy efficiency, healthcare, and education.