Enterprises will focus on building robust governance into their generative AI pipelines in 2025 and beyond. In the recent TDWI data and analytics survey, 60% of enterprises said their organizations’ ...

The generative artificial intelligence (AI) boom will continue unabated over the next several years. As 2025 approaches, I predict the following key trends in generative AI. Adoption of generative AI ...

As AI becomes essential for driving innovation, improving decision-making, and enhancing customer experiences, organizations need robust platforms that support AI development. Building effective AI ...

Companies have assembled teams of data scientists to identify trends, predict outcomes, and make recommendations. While companies have invested in specialized development tools for data science, ...

Managing cloud resource spend and efficiency at scale is a top challenge for data-intensive organizations. In TDWI research, we often see that a top challenge for the cloud is the cost associated with ...

Organizations are increasingly building AI solutions that leverage both structured and unstructured data to gain deeper insights and drive better decision-making. Unstructured data—such as text audio, ...

Business success increasingly depends on AI-powered applications. TDWI research shows that enterprises are placing a high priority on deploying sophisticated, high-performance, and low-latency AI ...

Self-service business intelligence (BI) and analytics typically involves allowing nontechnical users throughout an organization to directly access data for self-directed discovery, analysis, ...

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 ...

TDWI instructor Chris Adamson defines dimensional data modeling as “the nexus of a holistic approach to managing business intelligence, analytics, and governance programs. Used at a program level to ...