Lunch seminar: AI-Powered Fault Tolerance in Data Pipelines
Welcome to the Software Center brown bag seminar organized by the AI engineering theme. The speaker is Aiswarya Raj, PhD student at Chalmers. Abstract: A large volume of high-quality data is mission-critical for real-world AI applications. Data pipelines consolidate data from disparate sources into one common destination, enable quick data accessibility, and ensure consistent data quality, which is crucial for AI applications. Companies from all domains experience data quality issues