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 ...

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.

It supports a wide array of tasks — from batch processing to real-time analytics and machine learning — making it a versatile choice for businesses that need a robust, scalable data processing ...

JupyterLab provides a robust platform for machine learning and data analysis, combining the flexibility of an interactive notebook with the power of Python libraries. Whether you're building simple ...

Instead of acting as isolated tools, ML, DT, and Edge AI work together to create intelligent, adaptive, and self-optimizing ...

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 ...

While many organizations have invested in data architectures, deployed analytics tools, built machine learning models, and rolled out data visualization capabilities, end-user adoption may lag ...

I believe Snowflake is disrupting the data market with its cloud platform for machine learning and data analytics. See why we believe SNOW stock is a strong sell.

AI and machine learning are reshaping how brands interact with their audiences and redefining campaign management, customer engagement and data-driven decision making.