Diversity is more, much more! Living in tech as a Latino who can’t dance en

I was born and raised in Argentina, then I lived +11 years in Spain and +3 years ago I moved to Canada. During the past 15 years I was an outsider, and this also impacted my professional life. I was lucky enough to travel for 5 years working in Europe, and I learned a lot on how my latino background impacted my professional career.
This session is mostly sharing what I’ve learned during these past years. How I learned to get the most from sentences like “You have a very strong accent; I don’t think you will fit this meeting. These are Senior Executives” or “Wow, your accent is amazing, our leadership team will love it!”. In both scenarios, I manage to move from frustration or surprise to a let’s focus on our business.
And it’s not only about language and accent; family, culture and even food and drinks are a part of the story. Espero que nos veamos en la sesion!

How GitHub CoPilot 🤖 is helping me with code and docs at Microsoft en

GitHub Copilot works with a broad set of frameworks and languages. Currently Copilot supports Python, JavaScript, TypeScript, Ruby, Java, and Go. However, I also used it with other languages like C++ and C#; and even while I'm writing documentation with MarkDown.

I'm always in charge. Cycling through Copilot suggestions and manually editing the suggested code is an amazing flow. What I really like is that GitHub Copilot adapts to my own code style.

During this session, we will review how Copilot works with Python, C++, C# and Markdown. And also, how I'm getting help while I'm learning new languages like JavaScript or TypeScript 😁.

Utilizando modelos de Azure Custom Vision en Azure functions es

Azure Custom Vision es un servicio de reconocimiento de imágenes que le permite crear, implementar y mejorar sus propios modelos de identificación de imágenes. Un modelo entrenado para identificar imágenes aplica etiquetas (que representan clasificaciones u objetos) a las imágenes, de acuerdo con sus características visuales detectadas.
En esta sesión revisaremos los pasos necesarios para crear, exportar y utilizar un modelo de identificación de imagen entrenado desde Azure Custom Vision. Revisaremos formatos de modelos populares como ONNX y TensorFlow, y los adaptaremos para que se usen en una Azure Function.
Al final de la sesión, tendremos un conjunto de opciones disponibles para usar una Azure Function como una API Serverless que puede clasificar imágenes.

• Aprenda a crear una aplicación de visión artificial con Azure Custom Vision.
• Aprenda a implementar la aplicación Azure Custom Vision en una Azure Function.
Conéctese con otros profesionales interesados en Azure Functions.

The cosmic power of Azure Cosmos DB and Azure IoT telemetry to feed itty bitty wildlife 🐿️ en

Winter is here and my backyard squirrels friends still come every day to get some food, snow is not a problem for them.

In this session we will review the basic concepts of Azure IoT and we will create a simple animal detector. When an animal is detected, the device will feed them. The solution will send telemetry to Azure IoT and store the information in Cosmos DB without writing a line of code.

We'll share a few implementation options, so you can get some fun ideas and walk away with a plan to start creating your own masterpiece.

🧠 Let's get the best of OpenAI in Power Platform! (Yes, ChatGPT style) en

You heard about ChatGPT, a chatbot launched by OpenAI, and built on top of OpenAI's GPT-3 family of large language models. The dialogue format makes it possible for ChatGPT to answer follow-up questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.

If you want to know how to add all this power to our Power Platform apps, this session is for you.We are going to add OpenAI GPT capabilities to a couple of demo Power Platform End-to-End solutions.

Building our own OpenAI demo app is a fantastic way to learn about Power Automate, Power Apps and other tools in the Power Platform family.

🚁 Let's code a drone using Azure OpenAI Services en

In this session, we will explore the power of Azure OpenAI Services and GPT models by integrating them with a drone. Using these services, we will (try to) control the device intuitively using natural language. With GPT models' ability to answer follow-up questions, admit mistakes, challenge incorrect premises, and reject inappropriate requests, the possibilities for intuitive and seamless interaction with technology are endless.

Why should I attend?
In this event, we will explore the power of ChatGPT by integrating it with a drone, allowing you to control the device intuitively using natural language. With ChatGPT's ability to answer follow-up questions, admit mistakes, challenge incorrect premises, and reject inappropriate requests, the possibilities for intuitive and seamless interaction with technology are endless.

But that's not all - during the session, you'll get to witness live coding that will enable you to control the drone using language commands. And the best part? ChatGPT will be generating the code based on your own words! You can ask the drone to "fly to the end of the room" or "find an empty chair", and ChatGPT will generate the code to make it happen.

In this event, we will explore the power of ChatGPT by integrating it with a drone, allowing you to control the device intuitively using natural language. With ChatGPT's ability to answer follow-up questions, admit mistakes, challenge incorrect premises, and reject inappropriate requests, the possibilities for intuitive and seamless interaction with technology are endless.

🤖 Copilot Time! Let's build a PlugIn for ChatGPT, BingChat and other Copilots en es

In this workshop, we will create a plugin for ChatGPT from scratch. We will see examples in different programming languages such as Javascript, .NET, or Python. We will also explore the architecture that supports a plugin and how this model can be used for other platforms like BingChat or Microsoft 365 Copilot.

Bonus: we will use GitHub Codespaces so we won't need a local dev environment!

🤖 ¡Es hora de Copilot! Vamos a construir un plugin para ChatGPT, BingChat y otros Copilots. en es

En esta sesion, crearemos un complemento para ChatGPT desde cero. Veremos ejemplos en diferentes lenguajes de programación como Javascript, .NET o Python. También exploraremos la arquitectura que respalda un complemento y cómo este modelo puede ser utilizado en otras plataformas como BingChat o Microsoft 365 Copilot.

Bono: ¡utilizaremos GitHub Codespaces para que no necesitemos un entorno de desarrollo local!