Enterprises are moving beyond AI hype toward measurable value. Here's how semantics, vertical AI and outcome-driven agents ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Sparse data can impact the effectiveness of machine learning models. As students and experts alike experiment with diverse datasets, sparse data poses a challenge. The Leeds Master’s in Business ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

Key data and analytics trends in 2026 include decision intelligence, real-time analytics, semantic layers, platform ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Garbage in, garbage out big data analytics models demonstrate that people are just as important as data sets and algorithms If you are like me, you were pretty convinced that Secretary Clinton was ...

Besides being all the rage in the industry, digital transformation is a key component to the strategy of forward-leaning hospitals and health systems today. It aligns healthcare organizations with its ...

If you are looking to get your company started with Big Data and data analytics in 2016, you're making a smart move. Data analytics has already helped many companies become more efficient, more agile, ...

Accounting combines three things many people enjoy: problem-solving, money, and working with people. And thanks to the use of data analytics in accounting, these parts of the job are more exciting, ...

The use of data analytics in sport, pioneered by the Oakland Athletics Major League Baseball team, and depicted in the movie “Moneyball”, has fundamentally changed how players are scouted, valued, and ...