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Pie & AI: Amsterdam: Applying MLOps principles & fairness in production.

Actions Panel

Nov 30

Pie & AI: Amsterdam: Applying MLOps principles & fairness in production.

Applying MLOps principles to machine learning models for detecting financial crime and Can we bring Fairness to production?

By Pie & AI by DeepLearning.AI community

When and where

Date and time

Wed, November 30, 2022, 5:00 PM – 8:00 PM CET

Location

Adyen Rokin Office 49 Rokin 1012 KK Amsterdam Netherlands

Map and directions

How to get there

About this event

Event image

Pie & AI is a series of DeepLearning.AI meetups independently hosted by community groups. This event is hosted by event ambassador Brigita Bizjak. Special thanks to their support!

Talk 1: Applying MLOps principles to machine learning models for detecting financial crime

As gatekeepers of the financial system, banks play a crucial role in detecting financial crime. At the same time, criminals continuously reinvent their approaches to hide their activities among dense transaction data. In this talk, we will show how ABN AMRO Bank relies on machine learning solutions in a mature MLOps framework to remain vigilant. We will demonstrate some of our models and explain how we implemented MLOps principles in an open environment, using the example of Transaction Monitoring and covering e.g. supervised/unsupervised learning and model monitoring.

Using Azure and Databricks, our setup facilitates a gradual migration towards a model-driven landscape, driving change from the ground up in how the bank understands its clients to detect financial crime.

Speakers:

  • Ivo Everts - Sr Strategic Architect at Databricks
  • Saman Amini - Chapter Lead Machine Learning Engineer at ABN AMRO
  • Lars Haringa - Machine Learning Lead at ABN AMRO

Talk 2: Can we bring Fairness to production?

What if you optimise for discriminatory power, but end up with unwanted discrimination? In a time where decisions become more automated, regulations are on the horizon, and AI is still maturing, let's talk about ethical implications of data products.

Speaker:

  • Rik Helwegen - Data Scientist at Adyen

Event Agenda

17:00 - 18:10 Applying MLOps principles to machine learning models for detecting financial crime by Ivo Everts, Saman Amini, Lars Haringa.

18:10 - 18:50 Can we bring Fairness to production? by Rik Helwegen

18:50 - 20:00 Networking 🍺🍔

Speakers:

  • Ivo Everts - Sr Strategic Architect at Databricks
  • Saman Amini - Chapter Lead Machine Learning Engineer at ABN AMRO
  • Lars Haringa - Machine Learning Lead at ABN AMRO
  • Rik Helwegen - Data Scientist at Adyen

___________

For beginner and intermediate learners

Course Promo Code

After the event, we will provide a limited number of promotional code for attendees who complete a post-event survey sent by DeepLearning.AI. With this promo code, learners can avail 50% off the first month subscription for any DeepLearning.AI course on Coursera. You can check out a full list of courses here.

About Pie & AI: Pie & AI is a series of DeepLearning.AI meetups independently hosted by our global AI community. Events typically include conversations with leaders in the world, thought-provoking discussions, networking opportunities with your fellow learners, hands-on project practice, and pies (or other desserts you prefer.)

If you are interested in hosting a local Pie & AI event for us in other cities and becoming one of our global ambassadors, send us a note at events@deeplearning.ai!

Tags

  • Netherlands Events
  • Noord-Holland Events
  • Things to do in Amsterdam
  • Amsterdam Classes
  • Amsterdam Other Classes
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Pie & AI: Amsterdam: Applying MLOps principles & fairness in production.


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