Uncertainties abound in today’s world: the COVID-19 pandemic, environmental change, personalization in products and services, digital transformation etc. Companies and organizations must continue to reevaluate and adapt their decision-making processes to the ever-changing environment. Now more than ever, executives, managers, engineers, and data scientists must ask themselves: How do I allow for variability or uncertainty in my decision making?
The answer is predictive analytics and Uncertainty Quantification (UQ), a powerful set of tools used to capture and account for variability and uncertainty in each decision for applications across the product lifecycle and throughout engineering and business processes. But, performing predictive analytics and UQ requires a change in thinking for decision makers. Instead of depending on the deterministic point estimate that could drastically miss the mark, decision makers must rely upon data-driven decision making that incorporates a range of possible outcomes and results in actionable insights. This webinar will discuss how predictive analytics and UQ can help decision makers in these uncertain times.
