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 ...

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 ...

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 ...

Barely over a quarter (26.5%) of business leaders consider their companies to be data-driven. With the amount of information out there and how fast it changes, it is not easy to go from data to ...

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

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 ...

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 ...

This is a list of the winners of TDWI's Best Practices Awards 2008 program, which is designed to identify and honor companies that have demonstrated excellence in developing, deploying, and ...