Видео по Azure
Microsoft Teams is shaping up as the hottest tool on the collaboration block, and bots are shaping up as the way to scale out interaction with complex internal IT systems. Furthermore, the performance of your team relies on the presence of the sweet aroma, taste, and heart-starting impact of caffeinated beverages. Using Microsoft Teams, Microsoft’s Bot Framework and Language Understanding (LUIS) from Azure Cognitive Services, learn how to add a bot to a Team, manage channel and private conversations to ask one of the most critical questions in today’s modern workplace – “who wants a coffee”?
As developers push intellectual property to registries, how will you secure and protect that IP? Additionally, how do you ensure that once those applications are deployed they properly running and in good shape? In this session we'll cover building container images, image scanning, signing and promotion across environments. Then we will look at the tools and knowledge you need to keep your containerized applications healthy and how to detect when something goes wrong.
From smart sensors and actuating devices to integrated robotic systems, industrial organizations are employing increasingly sophisticated automation technologies to drive efficiency and productivity. Microsoft is accelerating the journey toward a world where machines operate in more dynamic and intuitive ways. From smart buildings, to industrial machinery, to robotics, Microsoft is democratizing the development of increasingly autonomous systems by providing domain experts, developers, and data scientists with the tools they need to seamlessly develop and manage autonomous systems.
We live in a time of internet connected everything. There are now many devices in our home that report information over the internet and can be controlled by our mobile phones. But how do you build one of these? In this session, we look at how to create a prototype interconnected fan unit using an IoT prototyping board. This board will connect to Azure to upload sensor data, and connect to a fan turning it on if the temperature is above a threshold. The threshold will then be made configurable using Azure device twin, allowing it to be easily controlled from a cloud-connected mobile app via Azure Functions. The principles you will see in the session can then be applied to a production system running on appropriate custom hardware. By the end of the session, you will see the power of Azure IoT hub for building internet connected smart devices.
The event-driven promise is helping developers light up new product ideas quickly! Using Azure Functions and event-driven best practices, developers are now able to build in days what usually used to take weeks in the on-premises world. Join us to learn how to enhance your existing cloud applications using serverless technologies and event-driven design patterns. We will share learnings gathered from customers running Functions apps at scale and talk about common pitfalls to avoid.
Wegmans re-invented what it means to have a meaningful shopping experience at the grocery store. Join us for this session as we dive deep into the technical implementations, solutions, and techniques that fueled Wegmans grow to the front of the pack. Discover how Wegmans launched a brand-new food delivery app in under 12 weeks by leveraging API first architecture and unlocked new avenues for research-and-development by exposing internal services as APIs. Follow along with Wegmans while learning how to get started building with APIs using a hybrid approach, create DevOps pipelines for your APIs, and effectively use API Management policies to expose APIs in a secure manner.
Transforming classic applications, which were built across multiple years, cannot be pushed to the cloud overnight. Uplifting client UI often requires access to backend web services and/or databases. This session will guide you through how to expose an internal web service to the cloud and have a SharePoint library webhook call the web service. This session will review the required Azure configuration settings, overall architecture required, Web Service C# code, and have the web service answer a SharePoint Webhook.
The holy grail of the Internet of Things is the ability to easily distribute the intelligence of your application across the Cloud and the Edge. Being able to run analytics, AI or store data at the Edge addresses many common and key enterprise IoT scenarios. Come learn how to easily create deployments for IoT devices that include AI, Machine Learning, Stream Analytics, as well as your own custom code on devices smaller than a Raspberry PI.
Everyone wants to do machine learning, but what does it actually take to make it a reality? Azure Machine Learning service accelerates the end-to-end machine learning lifecycle, enabling data scientists and developers to quickly experiment, iterate, and innovate together. We'll discuss what it takes in practice to do machine learning at scale from data to deployment. We'll walk through an example of how Azure Machine Learning service can speed up each step in your machine learning process from data prep, to model creation, to deployment, to management and finally to monitoring. In doing so, we'll showcase key new features that democratize AI, allow mixed-skill teams to collaborate, and enable ML Ops. We'll share these notebooks so you can start experimenting yourself. With Azure Machine Learning service, you'll be able to *actually* do machine learning.
Machine learning development has new complexities beyond software development. There are a myriad of tools and frameworks which make it hard to track experiments, reproduce results and deploy machine learning models. Learn how you can accelerate and manage your end-to-end machine learning lifecycle on Azure Databricks using MLflow and Azure Machine Learning to reliably build, share and deploy machine learning applications using Azure Databricks.
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