<p spellcheck="false" data-ms-editor="true">Join us on November 16th, 2022, for the Global AI Developer Days In Person @ Microsoft Reactor, Toronto, Canada</p>
<p spellcheck="false" data-ms-editor="true">The Global AI Developer Days 2022 is for AI enthusiasts and practitioners, of all skill levels to explore the art of the possible with AI. If you are a citizen or seasoned developer, find out what you can do with AI today.</p>
<p spellcheck="false" data-ms-editor="true">Speaker Details to follow soon.</p>
<p spellcheck="false" data-ms-editor="true">Subscribe to @TheTechPlatform to learn more</p><p spellcheck="false" data-ms-editor="true">Watch us LIVE here - <a href="https://www.youtube.com/watch?v=k0eclsFwea0">YouTube Stream</a></p>
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Global AI Developer Days - Toronto

Room 1

Machine learning is frequently regarded as enigmatic or unfathomable. As a result, SREs may prefer to work around ML-related reliability issues in their systems rather than through them. This avoidance is not only costly but also unnecessary—any given SRE may operate with systems that they do not fully understand. To control risk, they employ a set of generic methodologies to comprehend the system's attributes and failure modes.

We apply this outside-in strategy to ML reliability in this talk, based on recent experiences with a large-scale ML production platform. We discuss frequent failure modes and suggest best practices for productionization based on these failure modes like System monitoring and protection against human error, Understand data integrity requirements.  Prioritize pipeline workloads for efficiency and backlog recovery.


Ensuring Reliability of Large Scale ML Systems

X (Twitter)

LinkedIn

This beginners session aims to cover how we can use Azure DataBricks to perform Data Engineering and Machine Learning. Learn to use Azure Machine Learning (Studio) as no code solution to run data Engineering & Machine Learning use cases.

Data Engineering & Machine Learning using Azure DataBricks & Azure ML (Studio)

AI with Microsoft Power Platform can be used for automating processes and predicting outcomes. The power of AI will add intelligence to your apps even if you have no coding or data science skills.

Yes, we will see all of them LIVE in demo.

AI with PowerPlatform

This session will demo how to use AI Insights to gain access to a collection of pre-trained machine learning models that enhance your data preparation efforts. Also the functions for Text Analytics and Vision functions, both from Azure Cognitive Services in addition to the custom functions available in Power BI from Azure Machine Learning.