The last decade has seen explosive growth in new applications of digital technology and the data gathering it enables. We can now order a cab at the press of a button irrespective of where we are, travel to new countries and speak in other languages using translators on our phones and monitor where our shipments are at any given point in time. The pace of change is accelerating, particularly with the widespread use of Large Language Models (LLMs) and other Artificial Intelligence (AI) tools in every aspect of our life. Furthermore, blockchain technology has been widely adopted and has significant implications of future business models. In addition to making our lives better, this is also leading to newer technological breakthroughs in an ever wider set of domains. However, applying these analytical data-driven techniques in business applications still poses many challenges. For one, the concept of defining the right business objectives and aligning on key metrics has not gone away. Second, scaling these techniques from one-off advisory projects to repeatable use products and apps is proving to be difficult, particularly in many legacy industries. The goal of research at Prometheus Lab is to uncover the tools, processes and strategies needed to achieve widespread, effective adoption of these analytical data-driven technologies in a wide variety of industries and organizations.