Whitepapers and Blogs

Success is defined by how well you make decisions. Period. What if you were a hotel company, and your revenue management team reported that demand is falling much more in the next quarter than projected? Would you take the traditional approach, have your data science and insight teams pull all the hotel and customer data, … Engineering the Art of Problem Solving System™

In the digital transformation age, the global health domain stands at a critical intersection where the proliferation of technology and the generation of vast data resources can significantly influence health outcomes. Health informatics, an interdisciplinary field that applies information technology to improve health care, is rapidly evolving due to the advent of advanced data analytics … Data Informatics for Global Health Decisions

Data-driven decision-making (DDDM) has unequivocally become the backbone of modern industry strategies, with global predictive analytics revenues anticipated to skyrocket to $22 billion by 2026. The implications of this data-centric approach are profound, particularly in public health—a sector that is increasingly inundated with vast streams of digital information collected by various bodies from governments to … Data-Driven Decision-Making

The imperative for effective decision-making in the pharmaceutical industry has never been more pronounced. Pharmaceutical companies are under considerable pressure to innovate and demonstrate value with the healthcare sector’s shifting focus towards outcomes and the patient experience. Advanced analytics applied to real-world evidence (RWE) has emerged as a critical driver for decision-making in this environment. … Real-World Evidence Analytics

Imagine taking a trip to a zoo. There are hundreds of beautiful and majestic animals, each unique in shape, form, and nature. Most of the animals will be familiar to you, and you may even be able to name a few. But have you wondered how those animals got their names? What makes a Lion … Why does the world need more computer vision?

Modern corporations are grappling with unprecedented levels of complexity. The challenge isn’t solely about managing the sheer volume of data or the pace of technological innovation but also about the intricate interdependencies among various aspects of a business problem. As different elements of a problem become more interconnected, the potential solutions also multiply, often exponentially. … The Importance of Business Ontologies