From my early days as an assistant brand manager at P&G through my second CMO role, I’ve always strangely looked forward to annual budget planning. I’ve seen all sorts of models used: build from the ...

Real-time data analytics is the process of collecting and analysing data as it is generated, delivering insights to users at the moment they are needed. DataOps, on the other hand, is a collaborative ...

Legacy “batch” data processing systems have long included tools for managing performance and ensuring security. StarTree is bringing those same capabilities to real-time data analysis and AI ...

Real-time insights has become a powerful differentiator for companies across many industries. In partnership withStarTree During Black Friday in 2024, Stripe processed more than $31 billion in ...

Key data and analytics trends in 2026 include decision intelligence, real-time analytics, semantic layers, platform consolidation, and board-level governance. Here's what you need to know.

The demand for streamlined equipment operations is more apparent as industrial processes have become more complex and diversified. Data analysis and AI are transforming how all industries operate, ...

Real-Time Data Analytics: On Demand vs. Continuous Real-Time Data Analytics touches almost every part of a business – from the data managers and enterprise architects, to marketing and sales managers ...

Use of AI tools in healthcare has been accelerating, with growing trust in results produced and delivered by such tools. RAMP, one such tool already in action at UVA Health, focuses on delivering ...

In the healthcare landscape, data is the new currency. It empowers medical professionals, administrators and policymakers, providing them with a wealth of information, from patient records and ...