Retrieval-augmented generation (RAG) techniques are employed to combine the generative power of LLMs with the retrieval ...

According to TDWI research, generative AI will be the top analytics investment area in 2025, unlocking fresh innovations and perspectives and creating valuable opportunities for organizations. For ...

Data engineering is essential to achieving innovation in AI, analytics, and data-rich business applications. Data engineers ensure that data is fit for today’s data-driven organizations. Data ...

Enterprises are inundated with data, yet many struggle to translate it into insights that drive business impact. Siloed data trapped in legacy systems creates blind spots in customer and operational ...

Visit the CBIP group at tdwi.org/linkedin/cbip. Since 2003, TDWI and the ICCP have provided the CBIP certification to global business and industry through their ...

TDWI research indicates that organizations view analytics as an opportunity to help in better decision making, to better understand customers, and to improve business performance. At the same time, ...

For business intelligence and analytics, in-memory computing is a groundbreaking development. In-memory computing can free users from many of the performance constraints on data access and analysis ...

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

Organizations face growing pressure to optimize workflows, reduce operational costs, and enhance customer experiences. Many business-critical processes—such as prior authorizations, underwriting, and ...