I believe Snowflake is disrupting the data market with its cloud platform for machine learning and data analytics, capturing market share from legacy incumbents. I think Data Analytics and Machine ...

A real-world AWS QuickSight playbook based on deploying ML models, modern BI pipelines, and protecting $8.3M in ...

This article is authored by Paras Pandey, data engineer II, Amazon.

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Data science and machine learning technologies have long been important for data analytics tasks and predictive analytical software. But with the wave of artificial intelligence and generative AI ...

Utility giant EDF UK wanted to find a way to exploit its disparate treasure troves of data assets and create pioneering services for its customers using up-to-date data analytics and machine learning ...

GPS systems have completely changed the way we get from point A to point B. We no longer need to pull out a map for directions, and getting lost is a thing of the past provided your device has enough ...

As data and artificial intelligence continue to reshape how students learn and prepare for the future, SAS is recognizing ...

One issue facing organizations today is being able to extract information from data residing in multiple silos across the data center. HPE Vertica 8 uses in-database machine learning algorithms that ...

Machine learning (ML) is a subset of artificial intelligence (AI) that involves using algorithms and statistical models to enable computer systems to learn from data and improve performance on a ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...