About Daniel Dowler


Data Science Manager



Daniel Dowler is a data science manager and Atos expert in artificial intelligence. He enjoys helping data science teams move from pattern discovery and model building, to fully integrated hybrid and multi-cloud ML solutions with high real world impact. Daniel has consulted on enterprise ML projects, specifically in health care and finance. He is a hands-on leader who regularly builds software, and consults on strategy and design. Daniel has a master degree in information and data science from UC Berkeley, as well as a masters degree in mathematics from BYU.

Articles posted by Daniel Dowler

Which ML approach is the right choice for your AWS workloads?

Every business has a multitude of opportunities that can be addressed by machine learning (ML) — whether it’s helping automate processes, running data analytics or gaining deeper customer insights. For enterprises currently hosting or exploring the possibility of hosting their workloads on Amazon Web Services (AWS), there are numerous ML solutions and product…