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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 ...

This TDWI Insight Accelerator considers the challenges that organizations are facing with diverse, distributed data types and explores techniques and approaches that can help data engineers overcome ...

As organizations scale their AI initiatives, ensuring fairness, transparency, and accountability is increasingly complex and ...

This Checklist offers practical guidance: steps you can take to understand and respond to emerging global regulations, ...

Momentum is still growing around generative AI, and many organizations who’ve been experimenting with AI now want to operationalize new AI analyses. One approach that supports operationalization is ...

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 ...

The advent of generative AI sparked a push toward developing a conversational interface for business analytics and data insight generation. It seemed to be a perfect use case, allowing decision-makers ...

Data is valuable—bad data is expensive. As organizations rely more on data to fuel decisions and power large language models, the cost of poor data quality has soared. Missing, inaccurate, or ...

The generative artificial intelligence (AI) boom will continue unabated over the next several years. As 2025 approaches, I predict the following key trends in generative AI. Adoption of generative AI ...