The Global AI Bootcamp is a series of free one-day events organized across the world by local communities that are passionate about artificial intelligence on Microsoft Azure.
Azure Skåne User Group is hosting this event alongside multiple other locations globally: https://globalai.community/bootcamp-2023/
Session #1: Azure OpenAI Introduction
Speaker: Ana Margarida Valente
In this session, we will explore the power of Azure OpenAI Service, a platform that combines the cutting-edge AI capabilities of OpenAI with the scale, security, and reliability of Microsoft Azure. We'll discuss the partnership between OpenAI and Microsoft, the latest announcements around Azure OpenAI Service, use cases, and customer stories. By the end of this session, you'll have a better understanding of the potential for building intelligent applications using these powerful tools and technologies.
Session #2: Machine Learning and analytics with Power BI
Speaker: Andrea Martorana Tusa
Power BI makes advanced analytics handy for business users, allowing stakeholders to extract knowledge and insights from data, to solve business problems and make decisions.
This session will introduce the advanced analytics features of Power BI, showcasing some real word areas of application: forecasting, predictive analytics, machine learning algorithms, and customer sentiment analysis.
For every case it will also be covered the integration with all the complementary tools needed for building a working solution: Azure ML, Cognitive Services, R, quick insights, decomposition tree, Key influencer visuals …
Discover how easy is to use advanced analytics in Power BI to effectively address business challenges and uncover new insights.
Session #3: Sustainability through clean code in Azure Machine Learning
Speaker: Emilie Lundblad
How can we measure the emission and resource consumption of our machine learning models, but more importantly how can we take steps to reduce both?
In this session we take a look at the following in the machine learning service:
- Measure the carbon footprint: In your Machine learning models (AutoML, Designer, notebooks, possibilities for measuring more than your code)
- Make your models more sustainable (clean code, sustainable software principles, help from ChatGPT & Github co-pilot, measure the difference)
After this session, you should be able to both measure the carbon footprint of your ml models and be able them more sustainable.
This event will be live-streamed on YouTube, so anyone can watch it here: https://www.youtube.com/FooCafeOrgMalmo/live
