
2x Talks: Doug the AI Wombat & Protect your financial ML workloads
Hosted by Melb.NET Meetup
Downloads an .ics file · Times are in Australia/Melbourne · Google Calendar
Hey, how's it going? 2x Talks looks like it should be pretty interesting. Want me to help you organise around it?
Event details
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Add to calendar · Downloads an .ics file · Times are in Australia/Melbourne · Google Calendar
We are excited to host Chris and Stefano this month. Chris will show us how he developed Doug the AI wombat to help his kids explore the world. Then, Stefano will show how Confidential Computing in an ML.NET solution is used to protect sensitive data.
Live Stream: We're going LIVE on YouTube. If you haven't been able to join us in-person, you can still jump to watch from around 6pm - we will share the link on the night shortly before the event starts.
Agenda:
5:30pm arrival - Food and drinks provided in-person
6pm kickoff - Welcome & Introduction and few words from our Sponsors - 10 min
6:10pm - Session 1
6.35pm - Session 2
Session 1: Doug the AI Wombat - Chris Fulstow
How I used Microsoft Foundry to build a friendly AI wombat called "Doug" to help my kids explore the world (instead of cheat on their homework!)
Session 2: Confidential Computing Stefano Tempesta
This session presents the benefits of confidential computing in a Machine Learning solution, where different financial institutes share their confidential datasets for data analysis and credit risk prediction using the ML.NET library, and still mask any sensitive information to protect the privacy of their customers, preventing any potential data leakage.
Hosts:
William Liebenberg - Microsoft .NET MVP | Consultant at Arinco
Bron Thulke - Microsoft .NET MVP | CTO / Co-Founder at YouLi
Bill Chesnut - Microsoft Azure MVP | Consultant at SixPivot
Sponsors:
We have some amazing sponsors that help make this event possible:
Arinco - Venue\, Food and Drinks
Location:
In-Person at Arinco Melbourne.
Level 6 / 440 Collins Street, Melbourne CBD
🗣 Apply to speak now: https://bit.ly/melb-dotnet-cfp
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