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TDWI Upside - Where Data Means Business

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.

Best Practices to Ensure Data Transformation Success

Prophecy’s founder and CEO Raj Bains explains how organizations can overcome the challenges to achieving enterprise-wide data transformation.

Adding Corporate Data to LLMs with Nicolas Decavel-Bueff

From the rise of RAG to data privacy considerations, Nicolas Decavel-Bueff explains what your organization needs to pay attention to when it comes to AI.

4 Ways to Control Cloud Costs in the Age of Generative AI

Generative AI applications are adding to enterprise cloud costs. Here are 4 ways to control them.

Tackling Information Overload in the Age of AI

Agile decision-making is often hampered by the volume and complexity of unstructured data. That’s where AI can help.

Machine Learning and AI with Keith McCormick

From machine learning and transparency to unstructured data and career advice, data scientist Keith McCormick shares his insights on what’s worth paying attention to in the world of AI.

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 necessary infrastructure.

What Generative AI Means for Data Jobs

The technology-will-steal-your-job narrative has been around for at least 200 years. Some roles do disappear, but most simply evolve, adapt, and merge.

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