Data Science

In this special podcast, Aera Technology CEO Fred Laluyaux discusses why managers need new decision-making tools to keep up with the pace of today’s supply chains.

With the recent release of COVID-19 vaccines, there has been much debate around the success of the strategy (or lack thereof) currently in place.

Executives say that cultural challenges, not technological ones, represent the biggest impediment around data initiatives.

The Journey to Becoming Data-Driven: Executive Summary of Findings and a Progress Report on the State of Corporate Data Initiatives with a Foreword by Thomas H. Davenport and Randy Bean.

With a Analytic Process Automation Platform, fast and efficient transformation is no longer a capital-intensive endeavor.

With Alteryx, Coca-Cola was able to efficiently process the monumental amount of data associated with 1.9 billion Coca-Cola beverages sold globally.

Digital transformation is changing supply chains on many fronts, including the functional makeup of teams; unfamiliar job titles such as Data Scientist are now part of the supply chain ecosystem, as the discipline comes to rely more and more on its ability to collect, analyze, and interpret massive volumes of data.

A new and unique computer system from MIT has outperformed human intuition using its algorithms, and it's amazing, and perhaps a little frightening: the Data Science Machine beat out over 600 human teams in finding predictive analysis.

In this paper, we develop the Data Science Machine, which is able to derive predictive models from raw data automatically.