Time zone:
English
Intermediate
Other
New megatrends like Cloud, ML/AI, Containers & Co. are undoubtedly becoming increasingly important. We also have many services that simplifies implementation of modern applications. But choosing the right architecture under hundreds of services is not an easy task. In this session, we will demonstrate how to approach the right architecture on the example of an application that uses .NET, ML.NET, ASP.NET, Docker, ACI, ACR and Azure Batch Service. With a lot of demos, we will explain step by step how to build the right solution, and discuss the limitations of each used technology. However, a real solution has numerous requirements that go beyond the scope of an experimental application. ML.NET is a viable approach that also has its limits. You will learn how containers surprisingly behave under "heavy workloads" such as the ML training process. Such a real-life examples show that “lovely containers” have limits that you must overcome with another approach like Azure Batch Service or similar. This is an advanced talk with lots of demos and insights into the world of Microsoft Azure Cloud Computing. Even if your focus is not necessarily ML or Azure Batch Service, this talk will teach you how to design and run scalable and elastic heavy-load solutions in Azure.
English
Intermediate
Other
Machine learning as a service (MLaaS) is an umbrella definition of various cloud-based platforms that cover most infrastructure issues such as data pre-processing, model training, and model evaluation, with further prediction... In this session we will see how we can use Microsoft Azure to use Machine Learning algorithms as a Service in most optimal ways.
English
Intermediate
Other
Everybody interested in combining IoT and Artificial Intelligence will benefit from this session. Azure Percept is a new platform to create hardware accelerated Artificial Intelligence solutions that run on the edge. It is effectively an IoT device. Integration with cloud-based AI such as Azure Cognitive Services or Azure Machine Learning enables quick development and deployment of pre-built intelligence. In this session, attendees will learn about the hardware Azure Percept and about the concept of the device ecosystem for sensors that integrate with Azure Percept. The session also demonstrates the Azure based tools to administer systems that incorporate the device and understand the relationship with the Azure IoT offerings. The presenter will share personal insights including experiences with typical challenges when working with this type of device. Developers will see the developer experience to develop applications that leverage Azure Percept and receive information how to get started. IT Pros will understand how Azure Percept relates to the Microsoft Azure IoT ecosystem. Decision makers will hear about the value proposition of Azure Percept and why it could be relevant for their organizations.

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Code of Conduct for local live streams

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A good template can be found at https://confcodeofconduct.com/, including internationalized versions at https://github.com/confcodeofconduct/confcodeofconduct.com. An excellent version of a Code of Conduct, not a template, is built by the DDD Europe conference at https://dddeurope.com/2020/coc/.