Essentials to build and modernize AI applications on Azure
Need to confidently design AI applications? In this session we’ll explore the prescriptive guidance, resources and tools available within Azure Essentials to help you build and modernize reliable, secure AI applications. We will demo how to get started designing an AI workload using the AI assessment tool from the Azure Well-Architected Framework and then show how to build it using Azure AI Foundry. This session is part of Tech Accelerator: Mastering Azure and AI adoption. View the full agenda for more great sessions and insights.Govern, manage, and secure your AI deployments
Are you ready to adopt AI at scale? Explore the Azure Essentials AI adoption guidance and provide actionable steps and best practices to get your environment AI-ready. See how to make your AI workloads resilient and secure with solutions from Microsoft Defender for Cloud, Azure Purview, and the Azure Proactive Resiliency Library. This session is part of Tech Accelerator: Mastering Azure and AI adoption. View the full agenda for more great sessions and insights.Best practices for secure and reliable Azure projects
Join us for a conversation with senior Microsoft and AMD leaders as they discuss how organizations can securely and reliably migrate, modernize, and enhance existing deployments with Azure. Hear how Microsoft customers have leveraged Microsoft and AMD products and solutions to design, deploy, govern, manage their Azure workloads so they can drive ongoing performance and innovation in their organizations. Learn from the leaders about how you can best maximize your cloud and AI investment. This session is part of Tech Accelerator: Mastering Azure and AI adoption. Check out the full agenda for more great sessions and insights.Safeguard AI applications with Microsoft Defender for Cloud
Generative AI applications drive innovation and efficiency but often face security risks like AI jailbreaks and data exfiltration. This can pose a serious threat to your organization's security and reputation. Learn how to prevent AI risks through robust AI-security posture management and discover effective strategies to detect and respond to AI threats. Enhance your understanding of AI security and protect your AI assets with Microsoft Defender for Cloud. This session is part of the Azure security and AI adoption Tech Accelerator. Increase your skills by checking out more sessions to help you plan, build, manage and optimize your Azure deployments and AI projects with a security-first mindset. Learn more with Microsoft Secure! Find solutions your organization can use to protect your data, defend against cyberthreats, and stay compliant.How to design and build secure AI projects
Given the complexities of AI integration, designing and building secure AI projects is critical. This session equips technical professionals with the knowledge and tools to create secure AI workloads. Attendees will learn how to incorporate Responsible AI and security-by-design principles from the Azure Well-Architected Framework, identify tradeoffs during design, and prioritize security. This session includes a live demo of the Azure Well-Architected Framework AI assessment, showcasing practical applications and best practices - ideal for anyone seeking to enhance their expertise in secure AI development. This session is part of the Azure security and AI adoption Tech Accelerator. Increase your skills by checking out more sessions to help you plan, build, manage and optimize your Azure deployments and AI projects with a security-first mindset. Learn more with Microsoft Secure! Find solutions your organization can use to protect your data, defend against cyberthreats, and stay compliant.How to secure your AI environment
Prioritizing security in AI projects is vital. This session covers Azure Essentials best practices for safeguarding AI Landing Zones, focusing on the infrastructure, data, and models for GenAI applications. Attendees will learn about integrating products and PaaS services like OpenAI, Azure API Management, and Machine Learning into a comprehensive architecture that shields the AI environment. The session will also feature lessons learned from the field and insights from Microsoft's internal best practices for securing AI deployments. This session is part of the Azure security and AI adoption Tech Accelerator. Increase your skills by checking out more sessions to help you plan, build, manage and optimize your Azure deployments and AI projects with a security-first mindset. Learn more with Microsoft Secure! Find solutions your organization can use to protect your data, defend against cyberthreats, and stay compliant.Security: An essential part of your Azure and AI journey
Robust security is crucial at every stage of your cloud and AI journey. Take a closer look at the importance of embedding security from the initial consideration of Azure to the ongoing management of workloads and AI applications. Join Uli Homann and David Blank-Edelman as they share insights on how to make Zero Trust actionable as you leverage Microsoft’s platform, products and tools to achieve secure and successful Azure and AI adoption. Learn from the leaders about how to build security into your next Azure or AI project. This session is part of the Azure security and AI adoption Tech Accelerator. Increase your skills by checking out more sessions to help you plan, build, manage and optimize your Azure deployments and AI projects with a security-first mindset. Learn more with Microsoft Secure! Find solutions your organization can use to protect your data, defend against cyberthreats, and stay compliant.
Azure SDK Community Standup - OpenAI with your data using Python SDK
Welcome to the Azure SDK Team channel, where we explore the latest updates and features of Azure development tools and services. In this episode, Sandeep Sen and Héctor Norzagaray will be talking with Krista Pratico about running ChatGPT with your own data on Azure OpenAI service. Don't forget to like, share, and subscribe to stay updated with the latest Azure development updates and features. https://aka.ms/azsdk/releases https://aka.ms/azsdk/blog https://aka.ms/azsdk/github https://twitter.com/AzureSDK Community Links: https://www.theurlist.com/azuresdk Featuring: Héctor Norzagaray (@HectorOnAzure), Sandeep Sen (@sandeep_k_sen), Krista Pratico #python #AzureSDK #OpenAIAzure Cache for Redis Community Standup - Developer Experience
Improvements in .NET client libraries that enable developers to use Azure Cache for Redis in various scenarios. Quick and easy getting started Azure deployment template for Web App and database and cache. A peek into how Redis Cache works along with Azure Open AI. Featuring: Catherine Wang @cawa_cathy #ASP.NET #Beginner #RedisDevelop modern connected apps with the MEC Accelerator and 5G Kit
Today, 5G enables new applications for scenarios that were previously out of reach. From smart roads that can notify of obstacles in the road in real time to smart airports that can identify runway issues before they threaten safety, a new breed of real-time and mission-critical applications is emerging. Developers can now start building their own MEC/Edge application by forking and evolving our open source MEC Application Solution Accelerator. This is an example application that offers a common foundation based on a light microservices architecture designed for the edge. It includes Kubernetes, docker containers, and Dapr framework. It also includes AI model inferencing capabilities with an example deep learning model that analyzes video coming from cameras, as well as MQTT event-driven communication following a publish/subscription pattern to raise events/alerts after detecting issues with the AI models. Who should attend? • Developers interested in building real-time and mission-critical applications for the edge with low latency. • Individuals interested in learning about AI model inferencing capabilities and deep learning models for analyzing video. • Professionals seeking to learn about light/fast event-driven communication between AI models events/alerts handlers. What will I learn? • How to build MEC/Edge applications using the open source MEC Application Solution Accelerator. • Understanding and get ready to get started on a light microservices and event-driven architecture, based on Kubernetes, Docker containers, Dapr framework and MQTT messaging broker for edge/mec applications with low latency. • The potential of 5G technology and how it enables new applications for previously unreachable scenarios. Pre-Register at: https://aka.ms/ModernConnectedApplications05.16 Watch Livestream at: https://aka.ms/ModernConnectedApplications5/15
