BARC webinar

Data Engineering for Generative AI: Evaluating New Pipeline Tools

05/28/2024 5:00 pm


6:00 pm


| 11 am ET

Do you know how to select the right data pipeline tool for your GenAI initiatives?

Register for the webinar and

  • Understand what GenAI is and how it works
  • Understand why and how companies are applying GenAI language models to their data
  • Learn criteria for data engineering teams to evaluate data pipeline tools in this space
  • Learn more about GenAI risks and governance techniques to mitigate them
  • Learn about guiding principles for successful implementation

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Further information

As companies apply generative AI to their own domain-specific data, their data engineers enter uncharted territory. They must refine unstructured inputs such as text, imagery, and video to become timely and trustworthy inputs for GenAI language models. This requires a new class of data pipelines, supported by a new class of pipeline tools.

This webinar offers a guide for data engineering leaders to evaluate such tools. We recommend five product evaluation criteria: breadth of functionality, ease of use, governance, performance and scalability, and cost. Data engineering leaders and their teams can use these criteria to compare commercial and homegrown options to one another, ensuring they have the right tool to enable GenAI innovation.

Join Kevin Petrie, VP of Research at BARC, and Luke Roquet, COO and co-founder of Datavolo, to learn:

  • What GenAI is and how it works
  • Why and how companies are applying GenAI language models to their data
  • Criteria for data engineering teams to evaluate data pipeline tools in this space
  • GenAI risks and governance techniques to mitigate them
  • Guiding principles for successful implementation


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Learn critical questions to pose to data pipeline vendors to support your GenAI initiatives.

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