Learn how to use the Microsoft Graph to harness data and signals from across Microsoft 365. We’ll build a daemon application that uses Azure Functions, Logic Apps, and Microsoft Flow-driven workflows. Then, we’ll drive outcomes using Outlook actionable messages, SharePoint, and Teams. Finally, we’ll discuss best practices for building background applications using app-only authorization.
Azure Machine Learning is one of the most useful Azure services when dealing with AI workflow. In order to integrate the application with AML pipeline, and to use AML more efficiently, additional steps might be taken. In this talk, the AI Customer engineering team will present a set of ‘Tips and Tricks’ based on customer learnings and early product features.
Announced recently, Azure VMware Solution makes it possible for customers to run native VMware-based applications on Azure including the ability for developers to leverage Azure Resource Manager to manage both environments. Learn how you can modernize your VMware workloads by integrating with a vast array of native Azure services.
Join us for a session focused on solutions that consume Microsoft Graph data at scale. We’ll look at generating organizational insights using Microsoft Graph data connect, then examine analytics that drive actions using Microsoft Graph Security API integrations. We’ll also discuss some of the security and privacy challenges that come with use of data at scale, and explore how Office 365 datasets, Azure Storage, and Azure services drive digital transformation.
Can your applications scale as needed? Can you continuously deliver mission-critical applications while reducing risks? In this session, we’ll demonstrate some new, exciting Azure Resource Manager capabilities including deployment orchestration, health integration during deployments, and other features that dramatically reduce the risk associated with large-scale service rollouts. We’ll review Virtual Machine Scale Sets (VMSS) - one of the fastest growing services in Azure - powering many mission-critical applications. And we’ll take a deeper look at some important configuration choices and related trade-offs, explain why and when you should use them — with actual customer scenarios — and what you should expect as a result.
You’d expect Microsoft’s cloud-hosted Continuous Integration platform to have great support for .NET. However, you can use Azure Pipelines with any language, on any platform, thanks to cloud-hosted build agents for Linux, macOS and Windows. Edward Thomson will show you how you can use Azure Pipelines for everything you need. Build a Swift app on macOS, then deploy a Node.js app on Linux; all without having to create any infrastructure yourself. But what if you want to target other platforms? No problem! In this session you'll also see how you can bring your build server to harness the power of Azure Pipelines and build your code for almost any imaginable platform, including x86, ARM or even something truly outrageous like a Commodore 64.
Make More of the Sky - Air Traffic Management (ATM) services affect the quality and performance of every commercial flight in the world - currently transporting about a billion passengers a year. Growing traffic, limited systems capacity, strict safety requirements, and high environmental awareness demand a constant ATM services improvement. Come and listen to Heiko Udluft, AirSense Technical Leader, Jesse Anderson, BigData guru, and Vincent Chartier, Customer Success CTO at Microsoft France, tell how they use Azure to continuously develop, deploy and release AirSense services, the Airbus new generation ATM services. These services, powered by Azure Data & Analytics platform, provide business insights based on real-time aircraft position data to Airbus internal and external customers in order to shape the future of ATM. Find out how Azure Event Hubs, Azure Cosmos DB, and Azure Databricks, amongst others, were combined to handle real-time streams, derive analytics, and provide decision support directly relevant and valuable for the Air Transportation industry. Heiko, Jesse and Vincent will also cover the collaborative approach they leverage to overcome the challenges encountered along the way.
Microsoft Speech delivered remarkable service enhancements over the past year with industry leading Neural Speech Synthesis. In this session you will learn about our new features in real time and batch speech processing, enhancements to customize speech recognition for enterprise, deploying speech services on-prem using Docker containers, audio content generation and much more. We will also cover how to get started utilizing our speech stack to enable your speech scenarios such as call center automation and intelligent transcription.
Feeling the pressure to keep up with customers and competitive demand in the market? Or the squeeze to deliver more business value at an increasingly fast pace? While the cloud, containerization, and microservices offer efficiency and scaling, many organizations aren’t quite prepared for that additional complexity of cloud-native technologies and demands. AI, automation, and monitoring facilitate the management of complex modern delivery platforms and help build resiliency into your deployment to enable better performance. In the context of software delivery pipelines. In this session, we will review how AI, automation and monitoring can facilitate the management of complex modern delivery platforms and help build resiliency into your deployment to enable better performance while increasing feature velocity. We will also review key performance indicators for gauging your agile practices and automation, key capabilities to strive to, and an implementation road map to get there.
Rolling out an IoT platform in a retail enterprise is a complex journey. There are numerous business and practical opportunities to solve for, in addition to successfully launching the hardware and software. After encountering a number of hurdles at the inception of the IoT program, the cross-functional team at Starbucks created 10 principles to guide the design and deployment of their IoT platform. Randy Carlson and Venkat Venkatakrishnan will share this IoT platform design and deployment journey through the lens of design principles.
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