About this Event
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 & 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.
Event Venue & Nearby Stays
Equals Amsterdam, 6 Raamgracht, Amsterdam, Netherlands
EUR 7.25 to EUR 13.30
