AI4ALL Amsterdam Circle: Forecast Smarter, Not Harder

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.

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