With the rapid evolution of AI, ML, and self-service analytics, businesses are facing unprecedented opportunities and challenges. Join us as we uncover the strategies, technologies, and insights you ...

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 ...

Data environments are becoming increasingly complex. Many organizations are employing what TDWI terms a multiplatform data architecture to manage new and disparate data sources. This might include the ...

[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, ...

At Quicken Loans, we believe that optimal model function is best achieved by supplementing our models and data scientists with an advanced suite of supporting technology. We call this our “model ...

Self-service analytics continues to be a top priority for organizations, according to TDWI research. Yet many teams still struggle with adoption. Business users want direct access to data to support ...

As organizations expand their use of AI and machine learning, ensuring that data is AI-ready is more critical than ever. High-quality, well-integrated data fuels better AI models, driving innovation, ...

As organizations prioritize data democratization and AI-driven analytics, ensuring high-quality, trustworthy data has never been more crucial. Data quality management is a continuous, complex process ...

Interest is growing in the data mesh approach—an organizational and architectural approach to share, access, and manage analytics data in complex and large-scale environments where data ownership is ...

Successful modern data infrastructure encompasses more than just storage and staging options. Organizations must take a holistic approach with key data management practices including data quality, ...