Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Data analytics is defined as the capability ...

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 ...

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 ...

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 ...

Here's what you need to know about the key data analytics trends CIOs and IT leaders face in 2026. Data used to be an operational byproduct, but in today’s enterprise, it’s now the core input that ...

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 ...