For decades, companies have built and implemented monolithic applications such as ERP, financial, and manufacturing systems to support critical business functions and systems of record, but these apps are generally inefficient to operate. As a result, organizations tend to overprovision resources and hang on to outdated infrastructure. In this session, EY explores the challenges and opportunities of accelerating digital transformation for legacy applications. EY, with its emphasis on risk, governance and compliance, shares perspective on the right tools and accelerators needed to propel application portfolio rationalization and migration methodologies. The benefits of operating legacy apps in the Microsoft Azure cloud are discussed.
Are you running Oracle workloads on-premises and looking for greater business and operational agility? Bring scalability, flexibility, security, and performance to your Oracle workloads while reducing the cost of infrastructure management when you deploy on Azure. Learn how Azure supports Oracle database and enterprise applications running Oracle Linux and other supported operating systems.
Learn how to take advantage of serverless optimization to build static sites, with epic scalability and super-low latencies, at a fraction of the cost. We show why serverless is the perfect companion to static sites and how to architect your application using Azure Functions and Azure Logic Apps.
DevOps is about a continuous flow of value and functionality into your customers hands. With technologies like continuous delivery pipelines you can deploy to production in record time. But how do you tie the agility with the continuous monitoring needed to ensure that your applications are highly available and delivering value to your customers? Can you take it a step further and use the continuous deployment and continuous monitoring for continuous improvement? Can the value indeed flow all the way to your end user; can you identify customer cohorts, the needs of each cohort and improve conversion rates? Learn how to do all this and more with the built-in Azure Monitor and Azure DevOps services.
This session is co-delivered with Ms. Chetna Gupta, Sr. Director of Engineering at Evolve Controls. Continuous streams of data are generated in every industry from sources such as clickstream logs, IoT devices and sensors, business transactions, social feeds, fleet vehicles etc. Within these fast-moving data streams are valuable business insights waiting to be unlocked. Learn how customers are building real-time solutions for building controls, remote monitoring of assets, fleet management, smart grid and network monitoring. See demos and learn how services like Azure Event Hubs, Stream Analytics, Machine Learning and other Azure services work seamlessly together to create your end-to-end real time analytics solutions.
The data science process is a well understood flow for data scientists. Azure Databricks brings unique capabilities of tying a scale-out analytics engine to a collaborative and streamlined data science environment enabling implementation of the data science process with seamless power. With Azure Databricks you can create, train, evaluate, and publish models built on massive amounts of data, in a span of minutes. This session discusses the core concepts of such pipelines and walks through the optimal practices to make them efficient and accurate. We cover example that show building pipelines with machine learning and operationalizing those pipelines.
Got PDF files you want to index? Have hand-written forms from the last decade? Imagine if you could use AI to search on all of your data no matter what it is—raw, unstructured formats in email, text files, documents, PDFs, images, scanned forms, etc. Come learn how you can use Cognitive Search to extract insights and structured information from your enterprise files. We discuss the variety of prebuilt cognitive skills available, how to create your own custom skills, and how to define enrichment pipelines. We share real customer needs and how customers are applying cognitive search to solve them.
In this session Jesper walks you through everything you need to know about security, when building infrastructure in Azure. From role-based access and auditing, to network security and automation, you will have plenty of tasks to do in your own environment when you leave this session. The content is based on five years of building and optimizing Azure infrastructure, and is demo rich!
Analyze structured or unstructured data and look for patterns and trends allowing you to make accurate and intelligent forecasts on future events based on collected data. Use cases include recommendations, forecast modeling, and preventive maintenance. This session highlights the use of many Microsoft Cognitive Services such as Computer Vision, Face, Custom Vision, LUIS, Text Analytics, Translator, Speech, and Bing Search. It also describes integration with Microsoft Azure including Azure Storage, Microsoft Power BI, Azure Search, Microsoft Application Insights, Azure App Service, Microsoft Dynamics 365, Azure Machine Learning Studio, and Microsoft Edge.
File based workloads can be the most challenging to migrate into cloud due to customers' high expectations for performance, reliability, compatibility, and integrated data management, combined with the extensive capabilities of existing, on-premises solutions. This session provides a complete introduction to the powerful managed file service Azure NetApp Files. Learn to identify the applications that customers struggle with migrating, and how extensive feature set of Azure NetApp File can meet the most challenging customer’s workload requirements. See a demo of how easy it is to deploy these capabilities in minutes.