Generative AI, a subset of artificial intelligence, includes systems designed to generate images, music, text, and many other forms of media based on its training data. The key is in the name. Rather ...

Data visualization and visual data discovery can enable diverse types of users—from data scientists working with big data to nontechnical business managers and frontline users—to see significant ...

Enterprises need to know more than just the "what"; they need to know the "why" and the "what's next." Advanced analytics allows users to examine and manipulate data to drive positive business results ...

As cloud adoption continues to grow, so does the need for organizations to manage and optimize cloud costs effectively. In TDWI research, we often see that a top challenge for cloud is the cost ...

Where data, analytics, and AI teams go to transform their strategy, skills, and careers.

Recently, TDWI has observed that organizations are feeling a lot of pressure to implement AI and generative AI. Given this, AI needs to be trusted. Creating trusted AI systems starts with a commitment ...

We’re drowning in data. We’ve got data marts, data warehouses, cloud applications, big data systems, and lots of different tools. Our technology budgets continue to grow, but we still have data issues ...

Your organization doesn’t just need data to support vital strategic insights, it needs high-quality, accurate, complete data. Modern data quality management involves scaling data quality processes, ...

TDWI’s Best Practices Awards recognize organizations for developing and implementing world-class business intelligence and data warehousing solutions. Below are summaries of the winning solutions for ...

Increasingly organizations are recognizing that their data assets are a critical, often unexploited or underexploited tool for managing and improving organizational performance. Partly, this is fueled ...