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Secrets of Data Analytics Leaders

Listen to data and analytics leaders share the secrets of their success. Wayne Eckerson, long-time g

Episodes

Total: 261

Companies that adopt DataOps increase the odds of success by making GenAI data pipelines what they s

Most data leaders want to deliver data products, but few are doing it. Let's face it: most data te

GenAI can help data engineers become more productive, and data engineering can help GenAI drive new

Discover how master data management (MDM) provides language models with high-quality enterprise dat

Explore our four primary criteria for evaluating conversational BI products. Published at: https://w

The success of Generative AI depends on fundamental disciplines like DataOps. Published at: https://

With the increasing adoption of Generative AI, learn how data governance will add value to and benef

"Meet the business where it is." If you're on the data team, that's what you're expected to do to em

The European Union recently passed the first of its kind legal framework on the development, use, an

Most organizations are committed to responsible and ethical use of AI. Yet anticipating unintended c

It's not easy being the head of data & analytics at a large organization. You must align a large tea

Adopting community of practice principles, along with coaching and mentoring, is a practical approac

This blog examines the upcoming trend of domain-specific LLMs and evaluates three different methods

Many machine learning (ML) use cases center on real-time calculations. This article defines streamin

Companies need to invest heavily in teams and people, both at corporate and in the field, if they wa

Data management practices have changed substantially since the early 1990s and the dawn of data ware

Conventional data governance conflicts with today’s world of self-service analytics and agile projec

Let's reflect on the events of the past year and prognosticate on what may transpire in the months a

Data leaders must prepare their teams to deliver the timely, accurate, and trustworthy data that Gen

Data modeling is a core skill of data engineering, but it is missing or inadequate in many data engi