In life sciences research, solving big problems increasingly requires the fusion of genetic data with other rich data sets from omics, imaging, medical records to population-level studies. HPC, Analytics and AI make these types data wrangling possible, but they often require a re-thinking of IT infrastructure. Many people who are interested in following this type of work may want to experience a data science bootcamp, expanding their knowledge of data wrangling and AI.
In this informative interview Allison Proffitt, Editorial Director at Bio-IT World interviews Rob Lalonde, General Manager of Univa’s cloud solutions, for its Cambridge Health Institute Podcast series. They explore how workloads are evolving and discuss survey results illustrating trends for modernizing IT environments to support an increased variety of life sciences applications.
Click here to listen to this 10-minute podcast on demand.