Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain trends, and present findings clearly across business, finance, product, and ...

Therefore, this tutorial describes the use of traditional qualitative methods to analyze a large corpus of qualitative text data. We use examples from a nationwide SMS text messaging poll of youth to ...

Meta struck a massive chip deal with Nvidia that includes new standalone CPUs and next-generation GPUs and Vera Rubin rack-scale systems. The social media giant will also use Nvidia for networking ...

Utilities analysts are having a moment as the energy sector gets a boost from AI. With an extra 94 gigawatts forecast to be needed by 2030 to power all these new data centers, energy investment has ...

Jan 21 (Reuters) - Intel (INTC.O), opens new tab shareholders are optimistic about the company's results like they have not been for many quarters, betting the turnaround CEO Lip-Bu Tan promised was ...

Millions of users work with SQL to keep the gears of their business turning. In an era marked by relentless digital transformation, the proliferation of AI workloads, and tightening regulatory demands ...

NEW YORK, Nov 11 (Reuters) - Advanced Micro Devices (AMD.O), opens new tab said on Tuesday that it expected annual data center chip revenue of $100 billion within the next five years, and its earnings ...

AMD CEO Lisa Su said that AMD could be able to achieve "double-digit" share in the data center AI chip market over the next three to five years. The AI chip market is currently dominated by Nvidia, ...

In this tutorial, we explore how to harness Apache Spark’s techniques using PySpark directly in Google Colab. We begin by setting up a local Spark session, then progressively move through ...

Dynamic predictive modeling using electronic health record data has gained significant attention in recent years. The reliability and trustworthiness of such models depend heavily on the quality of ...

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...