AI has certainly stolen its share of headlines in recent years, and machine learning (ML) is nearly as famous.  Breakthroughs have captivated the public’s imagination with generative capabilities, the power of the underlying statistical algorithms to make accurate forecasts and predictions will have an even bigger impact on some sectors of industry. 

In a world of uncertainty, statistical relationships between variables are the key to understanding cause and effect.  Consider two sports teams, about to face off in a match.  The eventual outcome may come down to a lucky bounce, but how much will an extra day of rest for the star player influence the result?  With enough data, we can make and test assertions about the causal effects of different factors.

The tools of Data Science give powerful techniques for analyzing historical data, but they also provide deep insight into engineering design and product development.  Consider the field of Fluid Mechanics, where the underlying equations are nonlinear and difficult to simulate in complex geometries.  We might want to know just how much a change in viscosity will affect the net force needed to drive a flow.  Running the required experiments and simulations may be time-intensive, but with Data Science we can understand relationships that allow us to extrapolate and move towards better designs in less time.

The L1 team excels at predictive modeling.  We employ advanced regression techniques to discrete and continuous data sets, building probabilistic models and gaining insights into the underlying factors that truly determine the end result.  If you have a Data Science challenge and need help solving it, please reach out to us.