We describe the social, technological, and entrepreneurial processes needed to progress the nonlinear pathway from data to an on-farm decision, and explore the meaning of actionable knowledge; that is, knowledge that can be acted upon and applied to solve a real-world problem. We argue that ...
Bringing a drug to market is a complex, highly regulated and data-intensive undertaking that takes on average over a decade. Complicated operations require all those involved in intricate workflows to make informed decisions based on the data at hand to maximize value to patients. Every q...
To this end, we distinguish three levels on which data can be used to revise the traditional decision process (see Fig. 1). We discuss how these levels are interrelated, and we quantify their respective impact in a real-life application. The first level on which data can be exploited is ...
We study stochastic programs where the decision-maker cannot observe the distribution of the exogenous uncertainties but has access to a finite set of independent samples from this distribution. In this setting, the goal is to find a procedure that transforms the data to an estimate of the expect...
indication [46]. For example, a decision algorithm focused on urinary tract infections could reduce second-line antibiotics use by 67% compared to decisions made by clinicians, while decreasing inappropriate therapies by 18% [47]. AI analyzes microbiological data to detect evolving antibiotic ...
When It Pays to Pay Your Investment Banker: New Evidence on the Role of Financial Advisors in M&As We provide new evidence on the role of financial advisors in M&As. Contrary to prior studies, top-tier advisors deliver higher bidder returns than their no... A Golubov,D Petmezas,NG Tr...
“When they invited me to do the talk,” he said, “I was really excited to find out that the meeting has a theme this year, Data Science for Social Good. This goal is near and dear to my heart, the idea of leveraging data as well as machine learning and decision-making—machine ...
From “information” to “knowledge.” Knowledge is essential to decision making, whether the decisions are made by a single individual, a group of experts, or a broad community. What is knowledge? For our purpose, knowledge means “knowing” something is true and having a justified belief in...
All these actions will flow from a data value chain—a framework to manage data holistically from capture to decision making and to support a variety of stakeholders and their technologies.关键词: business data processing data analysis decision making query processing data landscape data management ...
From Data to Viz provides a decision tree based on input data format. This tree leads to twenty formats representing the most common dataset types. For each, an example of analysis based on real-life data is provided using theR programming language. ...