Emmanuel Turlay, Founder & CEO of Sematic, discusses the pivotal role of AI in Machine Learning infrastructure, covering data warehousing, feature stores, model stores, and more. Challenges in developing Semantic include user adoption and compatibility. Building a strong business foundation and accelerating model training are also highlighted. Advice for starting a career in AI infrastructure is given, emphasizing the importance of perseverance and continuous learning.
