AI4ALL Amsterdam Circle: Forecast Smarter, Not Harder

A﻿I4ALL - is a nonprofit women powered do-tank that is cultivating a network of leaders in AI, working together to promote responsible AI practices, champion diversity, and advocate for inclusive policies across the tech sector leading to AI advancement.

AI 4 ALL

Learn when forecasting models really need updating and how smart monitoring can cut costs, catch data shifts early and boost performance.

Equals Amsterdam

Forecast Smarter, Not Harder: Making Cost-Effective Decisions for Your Business Description:Join Lorena Poenaru-Olaru, Data Scientist at ING, to explore a smarter way to maintain machine-learning forecasting models. Many organizations spend unnecessary resources constantly updating their models - but often, it’s not needed. Through a real ING case study, you’ll learn how early detection of data shifts can reduce costs, improve responsiveness, and boost confidence in your forecasts. What You’ll Learn:• When forecasting models actually need updating• How to detect shifts in data early• How smarter monitoring saves time and resources• ING’s approach to maintaining forecasting models• Practical ideas to improve efficiency and model performance Speaker Bio:Lorena Poenaru-Olaru is a Data Scientist in Real Estate Finance Business Banking at ING. She completed her PhD within the AI4Fintech research lab (TU Delft &amp; ING Netherlands), focusing on monitoring and maintaining ML systems throughout their lifecycle. Lorena is passionate about building innovative ML solutions and ensuring their reliability from development to production. *No refunds on tickets, all sales are final.**All final prices include VAT.***Please note that pictures and videos could be taken at our events for use by AI4ALL brands for the purpose of AI4ALL event and program marketing.

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AI4ALL Amsterdam Circle: Forecast Smarter, Not Harder

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AI4ALL Amsterdam Circle: Forecast Smarter, Not Harder

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