The 5th World Tech Summit on Big Data, Data Science & Machine Learning is scheduled for April 13-14, 2026, in Orlando, ...

Accurate person identity data is one of the most difficult challenges in healthcare today. The stakes are high; merge the wrong records, and you create a privacy risk; fail to link the right ones, and ...

Eager to make a difference in AI research? Undergraduate and master’s students: this is your chance to connect with top faculty and cutting-edge labs. Match with a research team to kick-start your ...

When people hear “artificial intelligence,” many envision “big data.” There’s a reason for that: some of the most prominent AI breakthroughs in the past decade have relied on enormous data sets. Image ...

Businesses looking to bring the rewards of big data analysis to everyday users need ways to prepare and organize data and develop models for analyzing it. Here’s a look at 10 companies that offer ...

This is part two of my series based on Lomit Patel’s “Lean AI” (O’Reilly, ISBN:978-1-492-05931-8). The first discussed business applications can benefit from supervised learning. This article will ...

From AWS, Google and Microsoft to IBM, SAS and MathWorks, here are the 20 data science and machine learning platforms leading the global market today. The 20 World-Leading Data Science And Machine ...

One of the most widely adopted of the seven patterns of AI is the Patterns and Anomalies pattern. Machine learning is particularly good at digesting large amounts of data very quickly and identifying ...

Machine learning is becoming a competitive prerequisite for the EDA industry. Big chipmakers are endorsing and demanding it, and most EDA companies are deploying it for one or more steps in the design ...

In today’s interconnected economy, efficient cross-border payments are crucial for businesses and individuals alike. Yet, traditional payment methods often face challenges such as delays, high costs, ...