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DTSTART:20240815T110000Z
DTEND:20240815T120000Z
DTSTAMP:20240515T103600Z
CREATED:20240515
LAST-MODIFIED:20240808
PRIORITY:5
SEQUENCE:58
TRANSP:OPAQUE
SUMMARY:Digital Kitchen: AI ready data – tales from the trenches
DESCRIPTION:Vortragende\nPeter Steinbach (HZDR)\nTill Korten (HZDR)\n\nModeration\nMaik Fiedler\n\nThema\nData and AI\n\nAs AI models become increasingly sophisticated, the importance of high-quality, well-prepared data cannot be overstated. However, in practice, data is often messy, inconsistent, and poorly formatted, leading to frustrated data scientists, stalled projects, and sub-optimal model performance.\nDrawing from real-world experiences, we’ll explore the common pitfalls and best practices for ensuring data is „AI-ready“. We’ll discuss the importance of standardized data formats, and how to navigate the complexities of data quality, from handling missing values and outliers to dealing with inconsistent labeling and annotation.\nWe’ll also examine the critical role of data handling systems, including data warehouses, lakes, and pipelines, in facilitating efficient data preparation and curation. Additionally, we’ll touch on the often-overlooked topic of holdout dataset curation, and why it’s essential for robust model evaluation and deployment.\nThis talk is designed for data scientists, IT admins or engineers, and researchers who want to improve their data preparation skills, streamline their workflows, and ultimately, want to help build more accurate and reliable AI models.\nThe talk will be held in English.\nAnmeldung zur SaxFDM-Digital Kitchen\n
URL:https://saxfdm.de/veranstaltungen/data-and-ai/
CATEGORIES:Digital Kitchen
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