Part 3/12:
The Evolution of Analytical Decision-Making
Initially, Fractal's focus was on standard statistical models like linear and logistic regressions to support predictive decisions. Over time, technological advances and the explosion of data storage capabilities catalyzed a paradigm shift. The advent of Artificial Intelligence (AI) around 2014 marked a significant milestone, transforming how enterprises utilize data.
Pranay emphasizes that today's approach involves integrating AI, engineering, and design to embed decision-making into daily enterprise operations. This evolution aims at moving from insights to operationalized applications—enterprise-scale AI-driven solutions that influence everything from customer experience to internal processes.