Generative AI not only makes analytics tools easier to use, but also substantially improves the quality of automation that can be applied across the data analytics life cycle. The generative AI party ...

The transformative power of technology is driving innovation and unlocking new possibilities in data analytics. As businesses continue to navigate an increasingly complex digital landscape, the ...

The four agents — SpotterModel, SpotterViz, SpotterCode and an upgraded Spotter 3 — extend the company’s push into what it ...

SAS, a leader in analytics, announced it can now provision SAS Viya AI and decisioning capabilities securely in the Snowflake Data Cloud with Snowpark Container Services (private preview). The ...

AI Agents function less like tools and more like self-directed teammates, orchestrating, analyzing and acting across workflows with minimal human intervention, each following a cycle like a high-perfo ...

Editor’s note: This is the third article in a four-part series that is part of a larger initiative the AICPA Auditing Standards Board (ASB) has undertaken to understand and support technology use in ...

New Intelligence Layer allows enterprises to ground AI in governed data, ensuring precision, explainability, and confidence ...

In this video from the Stanford HPC Conference, Satya Sai Prakash Kanakadandi from HCL America presents: Analytics Development Life Cycle: Pangea is Panacea. “Data ingestion to business insights is a ...

Here are 15 data management and data analytics companies, part of the inaugural CRN AI 100, that are playing an outsized role in AI today. AI needs data–lots of it–to work. Otherwise, the old adage of ...

Data and analytics are reshaping business models by creating new revenue streams, reducing expenses and minimizing risks for enterprises across all industry sectors. Data and analytics are often seen ...