Whether working as a business analyst, data scientist or machine learning engineer, one thing remains the same – making an impact with data and AI is what really matters. Pre-processing and exploring data, building and deploying models and turning those scoring values into an actionable insight can be overwhelming. A
Maybe you’re a SAS®9 programmer in the insurance industry who stores her analytics projects in a local desktop folder, or in a Git library. Or maybe you’re a data scientist who specializes in aviation forecasting and loves the no-code environment of SAS® Viya®. Or maybe you’re a Python devotee at
Robert Handfield, PhD, is a distinguished professor of Supply Chain Management at North Carolina State University and Director of the Supply Chain Resource Cooperative. In an episode of the Health Pulse Podcast, Handfield gave his views regarding the challenges health care and life science companies have encountered over the past two years
