automatically translating natural language questions into database queries and performing high-level data analysis and summarization. Prior to its exit, Seek AI managed to raise around $10 million ...

Congratulations to the Class of 2025! View the Commencement Experience ⁠ 06/12/2025 By Danielle Fretwell ...

With five years of experience as a writer and editor in the higher education and career development space, Ilana has a passion for creating accessible, relevant content that demystifies the higher ...

My aim with this example is to leave you with an idea of how PCA can be used to explore data sets in which thousands of variables have been measured. Figure 1: Principal component analysis (PCA ...

This pillar ensures that data from various departments, business units, or external partners can be effectively merged and used for analysis and decision-making. Data privacy and security involve ...

One year. Rigorous, intense and highly applied. Our new Masters programme offers a uniquely integrated learning experience that combines the applied data analytics skills recruiters demand with our ...

Data breaches affecting millions of users are far too common. Here are some of the biggest, baddest breaches in recent memory. In today’s data-driven world, data breaches can affect hundreds of ...

Its purpose is to provide stakeholders with accurate and reliable data and information ... the figures and outcomes. As an example of financial performance analysis, let's look at the Coca-Cola ...

In particular, it measures the degree of dispersion of data around the sample's mean ... taking the square root removes the units from the analysis. This allows for direct comparisons between ...

Decision-making inherently involves cause–effect relationships that introduce causal challenges. We argue that reliable algorithms for decision-making need to build upon causal reasoning.