The data lakehouse architecture is leading this change—particularly for machine learning (ML) and advanced analytics—by combining the strengths of both data lakes and data warehouses.

The two companies’ data science platforms have become core components for many CIOs who are focused on leveraging ...

AI-Driven Data Modeling: Even data modeling and analytics development will be accelerated by AI. Generative AI can assist in designing database schemas or creating machine learning models.

HPE Vertica 8 uses in-database machine learning algorithms that enable businesses to continuously gain analytics from their information, no matter where it lies.

As part of CRN’s 2025 Year So Far series, here’s a look at some of the hottest data science and machine learning tools in use today. Some of the following tools are relatively new to the ...

Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using ...

Generative AI is a headline act in many industries, but the data powering these AI tools plays the lead role backstage. Without clean, curated, and compliant data, even the most ambitious AI and ...

Microsoft Azure’s new, unified data platform aims to be your one-stop shop for analytics and machine learning at scale. Tracking the annual flurry of announcements at Microsoft Build is a good ...

These steps often stall machine learning projects between experimentation and production because of a lack of engineering resources or the complexity of debugging pipelines.

By utilizing data visualization tools, predictive analytics and machine learning algorithms, leaders can gain valuable insights into customer behavior, market trends and business operations.