Download this playbook to address a question facing every organization running AI workloads in the cloud: How do you move from isolated pilots to enterprise-grade AI?

Creating performance metrics is as much art as science. To guide you in your quest, here are 12 characteristics of effective performance metrics. 1. Strategic. To create effective performance metrics, ...

A reference architecture is essentially a standardized blueprint or template for designing and implementing a system, solution, or technology. It provides a set of guidelines, best practices, and ...

Generative and agentic AI represent a meaningful shift in how enterprises can interact with data, automate workflows, and support decision-making. Yet adoption alone does not guarantee value. Results ...

Today, organizations increasingly depend on data to drive improved business performance. However, as data volumes grow, data architectures become more distributed, and expectations shift toward ...

The Business Intelligence Journal is an in-depth, unbiased information resource for data management and anlytics professionals. This quarterly publication provides fresh ideas and perspectives to help ...

The reliability of your organization’s data is the cornerstone upon which every business decision is based and every deal is struck. Without it, organizations struggle to make informed decisions, ...

TDWI's Best Practices Awards program is designed to identify and honor companies that have demonstrated excellence in developing, deploying, and maintaining BI and DW applications. Winners are chosen ...

As more AI systems are involved with democratizing enterprise data, often across clouds and platforms, governance and security controls become even more critical. Organizations need a proactive ...

Learn how Cloudera Enterprise provides a new kind of analytic database designed to tap into the full value of your data. As an adaptive, high-performance, analytic database, it opens up BI and ...

There are numerous rapidly evolving technologies for analyzing data and building models. In a remarkably short time, they have progressed from desktops to massively parallel warehouses with huge data ...