In today’s fast-paced data-driven world, traditional data pipelines are often unable to keep up with the scale and complexity of modern data needs. This talk will explore how AI is transforming data engineering by automating and optimizing data pipelines. By integrating machine learning and AI, data pipelines can now adapt in real-time to changing data flows, detect anomalies, and improve their own efficiency without human intervention. With AI’s ability to learn from data patterns, organizations can build smarter, more resilient data systems that handle everything from data ingestion to analysis with greater speed and accuracy, revolutionizing how we approach data engineering.
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