Key data and analytics trends in 2026 include decision intelligence, real-time analytics, semantic layers, platform ...

Today, Microsoft is announcing the acquisition of Osmos, an agentic AI data engineering platform designed to help simplify complex and time-consuming data workflows. Microsoft + Osmos: Extending ...

What data helps investment managers spot opportunities in volatile markets? We explore how alternative and unstructured data, ...

In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...

Advanced Micro Devices Inc., aiming to make a dent in Nvidia Corp.’s stranglehold on the AI hardware market, announced a new ...

Elon Musk is rapidly scaling xAI’s Colossus data center into a hyperscale AI powerhouse, raising stakes around power, cost, ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

Governments across the world make thousands of personnel management decisions, procure millions of goods and services, and execute billions of processes each day. They are data rich. And yet, there is ...

This webinar brings together experts from TDWI, Informatica, and Databricks to address the critical challenge of operationalizing AI at enterprise scale.

Doug Wintemute is a staff writer for Forbes Advisor. After completing his master’s in English at York University, he began his writing career in the higher education space. Over the past decade, Doug ...

Artificial Intelligence is growing fast, and professionals now need both data science knowledge and Generative AI skills. These programs teach solid technical basics along with fundamental GenAI tools ...