As we progress further into a digital era, new research and developments into data science are constantly evolving to advance accuracies and efficiencies across various applications. Focusing specifically on scientific labs, processes and workflows have drastically improved over recent decades to facilitate the work of lab analysts due to the applications of techniques and tools encompassing artificial intelligence (AI), machine learning (ML), data science and human-computer interaction. This episode of the Agilent Podcast Series will investigate different avenues into what is known as the digital lab of the future and it will take a closer look at the broader revolution of AI.