Integrating enterprise data and AI platforms enables organizations to build and deploy more innovative and intelligent applications more rapidly. It lets them build more sophisticated AI applications, ...

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

Your business moves fast—so should your data. As decision-making accelerates, AI, analytics, and business strategies depend on data that is accurate, reliable, and available when needed. Without it, ...

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

Data science is an interdisciplinary field that combines social sciences, advanced statistics, and computer engineering skills to acquire, store, organize, and analyze information across a variety of ...

Organizations are increasingly turning to data-driven decision-making, yet data integrity remains a challenge. According to recent TDWI research: Only 50% of organizations trust their data. Despite ...

Predictive analytics is the umbrella term for analyzing patterns found in data to predict future behavior or results. It includes techniques and algorithms found in statistics, machine learning, ...

[NOTE -- My new TDWI report about High-Performance Data Warehousing (HiPer DW) is finished and will be published in October. The report’s Webinar will broadcast on October 9, 2012. In the meantime, ...

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 ...

According to TDWI research, generative AI will be the top analytics investment area in 2025. Generative AI offers the opportunity for new innovations and new ways of thinking that can provide new ...