Fraud Detection with Graphs

In this episode, Santiago de Leon takes us deep into the world of eye tracking and its revolutionary applications in recommender systems. As a researcher at the Kempelin Institute and Brno University, Santiago explains the mechanics of eye tracking technology—how it captures gaze ...  Afficher plus

In this episode of Data Skeptic, we dive deep into the technical foundations of building modern recommender systems. Unlike traditional machine learning classification problems where you can simply apply XGBoost to tabular data, recommender systems require sophisticated hybrid ap ...  Afficher plus

SummaryIn this episode of the Data Engineering Podcast Prashanth Rao, an AI engineer at KuzuDB, talks about their embeddable graph database. Prashanth explains how KuzuDB addresses performance shortcomings in existing solutions through columnar storage and novel join algorithms. ...  Afficher plus

In today's data-driven landscape, organizations often find themselves drowning in a sea of data, yet struggling to glean actionable insights from it. Many companies are eager to label themselves as data-centric, but the reality is that not everyone is equally adept at int ...

Whether you prefer the term data-driven, or data-informed, or data-dazzled, it doesn't matter—today's tech cannot survive without high quality data sets AND the tools to use them effectively. But we also can't afford to think about data as the responsibility of ...

I sit down with Chris Royles, EMEA Field CTO at Cloudera, to discuss the evolution of Big Data and why hybrid data is the next challenge for businesses to tackle. In this episode, we explore how the term 'Big Data' has become dated and how the rapid rise of hybrid data has shifte ...  Afficher plus