Generative AI is driving organizations to migrate their data platforms to modern data architectures. As enterprises embrace platforms for real-time streaming data, they will require a high-performance ...

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 ...

This session will include a moderated Q&A featuring questions from the live audience. In an era where data is the new currency, selecting the right architecture can significantly impact an ...

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 ...

Whether you’re a data analyst drowning in dashboard requests or a business user struggling to find insights, you need a better way to work. What if BI tools could understand your natural language ...

Modern business depends on sophisticated decision support, advanced analytics, and artificial intelligence (AI) applications. Therefore, modern businesses need next-generation data intelligence ...

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 ...

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