Download this TDWI Playbook today to learn how you can advance your data science with AI-infused tools while minimizing risk ...

Report explores how organizations are preparing for AI as well as current challenges and opportunities.

This TDWI Best Practices Report identifies current challenges organizations are facing with data strategy and management, as well as shared modernization priorities for achieving data-driven business ...

An Executive’s Guide to Delivering Value from Data and AI 2.3.2025 Are you ready to harness the full potential of AI for your organization? In today's rapidly evolving business landscape, ...

AI in 2025: Key Considerations for Technology Leaders Is your organization ready to make the most use of AI in 2025? By Udo Sglavo As the year kicks off, organizations and companies across the globe ...

What’s Ahead in Generative AI in 2025? (Part One) Predictions for AI in the coming year. By James G. Kobielus The generative artificial intelligence (AI) boom will continue unabated over the next ...

The path to AI-driven innovation is paved with data readiness. These three indicators provide a quick data readiness assessment.

Artificial Intelligence Versus the Data Engineer Does generative AI change the role of the data engineer? As the demand for AI skyrockets, so does the demand for data and data engineering. By Ed ...

Exploring the transformative power of data-driven decision-making and seven steps to help you implement prescriptive analytics.

Overcoming Generative AI-Driven Supply Chain Delays and Resource Shortages AI applications will continue to flourish in the coming years, so back-end data center ecosystems must prepare to supply the ...

Read the new State of Data Quality report today to learn about the current state of data quality management, the top challenges organizations face, and best practices for improving your data quality ...

In an age of data-driven strategic decision-making, some companies are sensing a shift: to be successful in the future, they will need to evolve to be data-centric, not just data-driven.