Author Jay Schuren

Data science teams are scrambling to update their models in the wake of extreme and unforeseen worldwide changes brought on by the global COVID-19 pandemic. In the face of these unprecedented events, one of the key concerns among many data scientists is that their current models could be generating inaccurate or misleading predictions. In the webinar, AI in Turbulent Times:…

Competition throughout the financial markets is becoming more intense and top-line growth is becoming more challenging than ever to achieve. The high volume of market data makes searching for hidden patterns and developing forward-looking predictive models unruly, cumbersome, and slow using traditional methods and technologies. How can financial firms overcome these obstacles and remain competitive? With time-aware AI fueled by…

How AI enables agile business operations, elevating analytics to board-level conversations. While the world watches the many applications of machine learning unfold — Google’s new AI assistant and Uber’s driverless cars, to name a few — a fundamental shift in retail operations is taking place. This shift is driving a bifurcation of the retail industry: companies that will still be…