The whole continuum - from legacy to AI

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Important

The security arrangements to get into the Microsoft House building have changed.

Access through the security gates on the ground floor needs to be pre-approved.

If you attend in person, you MUST complete this online form. Please read the details on the form carefully. You will receive a QR code in the e-mail you register with which will let you sign-in via the Kiosk in the foyer of the Microsoft House building.

The e-mail will be sent on the morning of the meeting.

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Lucas Recoaro will present on Embracing Legacy: Learnings from AO.

In this talk, we'll explore the resilience of legacy technologies in the modern cloud era, focusing on the case study of Argentum Online, an MMORPG developed in Visual Basic 6 in 1999.

Despite its age, Argentum Online continues to thrive with a dedicated community. We'll explore how this longevity is achieved and discuss strategies for integrating new technologies like Python and Node.js into the existing stack.

Additionally, we'll examine the role of cloud infrastructure in addressing challenges posed by legacy technologies such as VB6, including CI/CD, protection against DDoS attacks, and leveraging cloud capabilities to enhance performance and scalability.

Lucas is an IT professional with over 13 years of experience. He is from Argentina and has been in New Zealand for the last 8 years. He enjoys understanding how to get aggregated value from the historical value of things. He is a Solutions Architect at TradeDepot.

Axl Mattheus will present on Build and Run a Neural Network in Azure with Azure ML Studio.

Join us for another session with Axl as he walks us through the exciting world of neural networks using Azure ML Studio.

In this hands-on talk, Axl will demonstrate how to build, train, and run a small neural network. This session is designed to provide a practical understanding of neural network implementation using Azure ML Studio.

Axl is a Data Science Cloud Solution Architect at Microsoft. He helps customers implement Artificial Intelligence and Machine Learning solutions in Azure.

Attendance Details

You can attend this session both in person and online.

While in-person attendance is highly encouraged (and you get free pizza!), if you can't make it along, you can always connect to the live stream at https://aka.ms/AotearoaAzure

Agenda

Networking and pizza from 12:00 pm - 12:20 pm
Welcome from 12:20 pm - 12:25 pm
Lucas from 12:25 pm to 1:00 pm
Axl from 1:00 pm to 1:45 pm
Q&A and Discussion from 1:45 pm - 2:00 pm

Recording

This session will be recorded and available on our Youtube channel within a week of the live event.