Alejandro (Alex) Jaimes, DigitalOcean's Head of R&D, discusses the importance of leveraging existing public models and combining public and proprietary datasets to gain a competitive advantage in AI. Not all companies have access to vast amounts of data, but they can still benefit from using existing models and strategies to simplify the manual labeling process and create synthetic datasets. The development of AI models requires significant efforts, and many companies focus on specific verticals or functionalities that work well in practice rather than building a "human-like" AI system. As the AI industry advances, we can expect to see more functionalities coming from vendors and open source initiatives, with cloud-based services becoming increasingly popular due to their ability to quickly scale and accommodate constant changes.