Using AI to Optimize Data Pipelines

As the data ecosystem undergoes a transformation to support diverse data and advanced analytics, the pivotal role of data engineers in providing essential infrastructure and tools becomes increasingly evident. Recent TDWI research highlights assembling data pipelines as a top challenge in this evolving environment.

Data engineers are finding themselves burdened with tasks such as pipeline development,handling new data types, data quality management, and supporting data science.Recognizing these challenges, organizations are turning to AI-based tools to alleviate theload. The emergence of co-pilots, AI assistants leveraging generative AI and large languagemodels, is gaining traction as a solution.

Join us in an engaging fireside chat with Gwendal Vaz Nunes, VP of Product at Matillion, toexplore how generative AI, embodied in these co-pilots, can optimize data pipelines. Thisconversation will delve into the imperative of modern data pipelines, the role of generative AI in data integration, practical approaches to infusing generative AI into data pipelines, andbest practices to ensure a successful implementation.

This discussion promises valuable insights into the evolving landscape faced by dataengineers, offering a holistic perspective on utilizing generative AI tools, with a focus onreal-world applications and best practices shared by an industry expert.

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